Le informazioni sugli impatti climatici ed energetici qui di seguito riportate sono state elaborate da Crypto Risk Metrics in data 19/11/2025. Tali informazioni, così come il documento allegato, sono redatti esclusivamente in lingua inglese, ovvero la lingua comunemente utilizzata negli ambienti della finanza internazionale, in ottemperanza a quanto previsto dall’art. 3.3 del Regolamento delegato (UE) 2025/422: “Le informazioni di cui al paragrafo 1 sono messe a disposizione in almeno una delle lingue ufficiali dello Stato membro d’origine del prestatore di servizi per le cripto-attività oppure in una lingua comunemente utilizzata negli ambienti della finanza internazionale.”
Name of the CASP: CHECKSIG S.R.L. SOCIETA’ BENEFIT
Street and number: PIAZZA DEL LIBERTY, 8
City: MILANO
Country: Italy
LEI: 8156006C715AAACC5D19
This disclosure serves as evidence of compliance with the regulatory requirements of MiCAR 66 (5). This requirement obliges crypto asset service providers to disclose significant adverse factors affecting the climate and the environment. In particular, this disclosure complies with the requirements of “Commission Regulation (EU) 2025/422 of December 17, 2024, supplementing Regulation (EU) 2023/1114 of the European Parliament and of the Council with regard to regulatory technical standards specifying the content, methods and presentation of information relating to sustainability indicators related to climate-related and other environmental impacts.” The optional information specified in Article 6, par. 8 (a) to (d) DR 2025/422 is not included.
This report is valid until material changes occur in the data, which will result in an immediate adjustment of this report.
This is an overview of the core indicator energy consumption but does not represent the reporting according to MiCAR 66 (5). Please find the full disclosure below.
| # | Crypto-Asset Name | Crypto-Asset FFG | Energy consumption (kWh per calendar year) |
|---|---|---|---|
| 1 | Bitcoin | V15WLZJMF | 204,305,772,785.35 |
| 2 | Dogecoin | 35PLJP6J7 | 7,840,486,782.44 |
| 3 | Bitcoin Cash | 919BF3W7L | 1,320,909,435.03 |
| 4 | Litecoin | D74JZ1VRD | 1,267,981,453.96 |
| 5 | Ethereum Classic Ether | DGMQMFZD4 | 806,001,339.41 |
| 6 | Solana SOL | 6QZ1LNC12 | 6,843,750.00 |
| 7 | Internet Computer Token | 4DHTM5D7P | 5,834,160.00 |
| 8 | Filecoin | S6702SWRZ | 2,409,053.34 |
| 9 | Ethereum Eth | D5RG2FHH0 | 2,159,953.20 |
| 10 | Avalanche AVAX | S6JCBF70N | 817,744.55 |
| 11 | Cardano ADA | 76QS7QCXB | 813,103.20 |
| 12 | Polkadot DOT | SGD9NLTRG | 630,720.00 |
| 13 | Algorand | K8S6W74KS | 420,961.80 |
| 14 | Sui | 64RFW3D8P | 394,725.60 |
| 15 | Ripple XRP | 42PHJB2BS | 299,655.68 |
| 16 | Aptos Coin | C4CQCGLH2 | 262,800.00 |
| 17 | Injective Token | 92M9B0DZ7 | 242,523.66 |
| 18 | Polygon POL | GB8DQ8DWN | 97,430.89 |
| 19 | Celestia | M7NN4STH9 | 83,196.38 |
| 20 | Bittensor | LBQFC0FVK | 25,228.80 |
| 21 | Wrapped BTC | Z1K7V8BV8 | 22,995.00 |
| 22 | ChainLink Token | 3R3J70FDR | 9,981.33 |
| 23 | ENA | SPRSCSVSW | 9,939.69 |
| 24 | Uniswap | XMB84LZBZ | 9,280.76 |
| 25 | Aave Token | H618RN577 | 4,247.28 |
| 26 | SHIBA INU | M4HFTFNPC | 2,895.37 |
| 27 | Pepe | J41R6PF81 | 2,753.99 |
| 28 | Ondo | WKH09L3DV | 2,125.12 |
| 29 | Render Token | XR0JSKLNZ | 985.97 |
| 30 | Arbitrum | 44TP35HF9 | 972.49 |
| 31 | Graph Token | VMQPVH41W | 635.46 |
| 32 | OFFICIAL TRUMP | LJDPGNXXK | 501.03 |
| 33 | FLOKI | R1XC4HQT5 | 480.78 |
| 34 | Dao Maker | / | 61.19 |
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Bitcoin | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 204305772785.35422 | kWh/a |
| S.10 Renewable energy consumption | 34.4781471084 | % |
| S.11 Energy intensity | 14.06431 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 84173173.69473 | tCO2e |
| S.14 GHG intensity | 5.79444 | kgCO2e |
Bitcoin is present on the following networks: Bitcoin, Lightning Network.
The Bitcoin blockchain network uses a consensus mechanism called Proof of Work (PoW) to achieve distributed consensus among its nodes. Here’s a detailed breakdown of how it works:
Core Concepts:
Consensus Process:
For the calculation of the corresponding indicators, the additional energy consumption and the transactions of the Lightning Network have also been taken into account, as this reflects the
categorization of the Digital Token Identifier Foundation for the respective functionally fungible group (“FFG”) relevant for this reporting. If one would exclude these transactions, the respective estimations regarding the “per transaction” count would be substantially higher.
Bitcoin is present on the following networks: Bitcoin, Lightning Network.
The Bitcoin blockchain relies on a Proof-of-Work (PoW) consensus mechanism to ensure the security and integrity of transactions. This mechanism involves economic incentives for miners and a fee structure that supports network sustainability:
Incentive Mechanisms:
For the calculation of the corresponding indicators, the additional energy consumption and the transactions of the Lightning Network have also been taken into account, as this reflects the categorization of the Digital Token Identifier Foundation for the respective functionally fungible group (“FFG”) relevant for this reporting. If one would exclude these transactions, the respective estimations regarding the “per transaction” count would be substantially higher
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘top-down’ approach is being used, within which an economic calculation of the miners is assumed. Miners are persons or devices that actively participate in the proof-of-work consensus mechanism. The miners are considered to be the central factor for the energy consumption of the network. Hardware is pre-selected based on the consensus mechanism’s hash algorithm: SHA-256. A current profitability threshold is determined on the basis of the revenue and cost structure for mining operations. Only Hardware above the profitability threshold is considered for the network. The energy consumption of the network can be determined by taking into account the distribution for the hardware, the efficiency levels for operating the hardware and on-chain information regarding the miners’ revenue opportunities. If significant use of merge mining is known, this is taken into account. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) lightning_network is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Dogecoin | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 7840486782.44496 | kWh/a |
| S.10 Renewable energy consumption | 34.4781471084 | % |
| S.11 Energy intensity | 0.52247 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 3230249.67328 | tCO2e |
| S.14 GHG intensity | 0.21526 | kgCO2e |
Dogecoin (DOGE) uses a Proof of Work (PoW) consensus mechanism, similar to Bitcoin, but with some key differences.
Security and Economic Incentives:
Dogecoin uses a Proof of Work (PoW) consensus mechanism to ensure network security and integrity, relying on economic incentives for miners and transaction fees from users.
Fees Applicable on the Dogecoin Blockchain:
Transaction Fees:
Mining Rewards:
S.9 Energy consumption sources and methodologies
For the calculation of energy consumptions, the so called ‘top-down’ approach is being used, within which an economic calculation of the miners is assumed. Miners are persons or devices that actively participate in the proof-of-work consensus mechanism. The miners are considered to be the central factor for the energy consumption of the network. Hardware is pre-selected based on the consensus mechanism’s hash algorithm: Scrypt. A current profitability threshold is determined on the basis of the revenue and cost structure for mining operations. Only Hardware above the profitability threshold is considered for the network. The energy consumption of the network can be determined by taking into account the distribution for the hardware, the efficiency levels for operating the hardware and on-chain information regarding the miners’ revenue opportunities. If significant use of merge mining is known, this is taken into account. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute,
“Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Bitcoin Cash | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 1320909435.02569 | kWh/a |
| S.10 Renewable energy consumption | 34.4781471084 | % |
| S.11 Energy intensity | 0.12586 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 544209.48461 | tCO2e |
| S.14 GHG intensity | 0.05186 | kgCO2e |
Qualitative information
S.4 Consensus Mechanism
Bitcoin Cash is present on the following networks: Bitcoin Cash, Smart Bitcoin Cash.
The Bitcoin Cash blockchain network uses a consensus mechanism called Proof of Work (PoW) to achieve distributed consensus among its nodes. It originated from the Bitcoin blockchain, hence has the same consensus mechanisms but with a larger block size, which makes it more centralized.
Smart Bitcoin Cash (SmartBCH) operates as a sidechain to Bitcoin Cash (BCH), leveraging a hybrid consensus mechanism combining Proof of Work (PoW) compatibility and validator-based validation.# Core Components:- Proof of Work Compatibility: SmartBCH relies on Bitcoin Cash’s PoW for settlement and security, ensuring robust integration with BCH’s main chain.
The Bitcoin Cash blockchain operates on a Proof-of-Work (PoW) consensus mechanism, with incentives and fee structures designed to support miners and the overall network’s sustainability:
Incentive Mechanism:
Applicable Fees:
SmartBCH’s incentive model encourages validators and network participants to secure the sidechain and process transactions efficiently.
Incentive Mechanisms:
Applicable Fees:
Transaction Fees: Fees for transactions on SmartBCH are paid in BCH, ensuring seamless integration with the Bitcoin Cash ecosystem.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘top-down’ approach is being used, within which an economic calculation of the miners is assumed. Miners are persons or devices that actively participate in the proof-of-work consensus mechanism. The miners are considered to be the central factor for the energy consumption of the network. Hardware is pre-selected based on the consensus mechanism’s hash algorithm: SHA-256. A current profitability threshold is determined on the basis of the revenue and cost structure for mining operations. Only Hardware above the profitability threshold is considered for the network. The energy consumption of the network can be determined by taking into account the distribution for the hardware, the efficiency levels for operating the hardware and on-chain information regarding the miners’ revenue opportunities. If significant use of merge mining is known, this is taken into account. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Litecoin | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 1267981453.95689 | kWh/a |
| S.10 Renewable energy consumption | 34.4781471084 | % |
| S.11 Energy intensity | 0.04390 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 522403.36487 | tCO2e |
| S.14 GHG intensity | 0.01808 | kgCO2e |
Litecoin, like Bitcoin, uses Proof of Work (PoW) as its consensus mechanism, but with a few key differences:
Litecoin, like Bitcoin, uses the Proof of Work (PoW) consensus mechanism to secure transactions and incentivize miners.
Mining Rewards:
Halving: The halving mechanism ensures that over time, fewer Litecoins are introduced into circulation, creating a deflationary model. This makes mining more valuable as the circulating supply becomes scarcer, incentivizing miners to continue participating in the network even as block rewards decrease.
Economic Security: The cost of mining (e.g., hardware and electricity) provides a strong economic incentive for miners to act honestly. If miners attempt to cheat or attack the network, they risk losing the computational work they invested, as invalid blocks will be rejected by the network.
For the calculation of energy consumptions, the so called ‘top-down’ approach is being used, within which an economic calculation of the miners is assumed. Miners are persons or devices that actively participate in the proof-of-work consensus mechanism. The miners are considered to be the central factor for the energy consumption of the network. Hardware is pre-selected based on the consensus mechanism’s hash algorithm: Scrypt. A current profitability threshold is determined on the basis of the revenue and cost structure for mining operations. Only Hardware above the profitability threshold is considered for the network. The energy consumption of the network can be determined by taking into account the distribution for the hardware, the efficiency levels for operating the hardware and on-chain information regarding the miners’ revenue opportunities. If significant use of merge mining is known, this is taken into account. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Ethereum Classic Ether | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 806001339.41212 | kWh/a |
| S.10 Renewable energy consumption | 34.4781471084 | % |
| S.11 Energy intensity | 0.12259 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 332069.37727 | tCO2e |
| S.14 GHG intensity | 0.05051 | kgCO2e |
Ethereum Classic operates on a Proof of Work (PoW) consensus mechanism with the Etchash algorithm, which is a modified version of Ethash. This PoW model requires computational work from miners to validate transactions and secure the network.
Core Components:
Ethereum Classic’s incentive model combines block rewards and transaction fees, encouraging miner participation and network security.
Incentive Mechanisms:
Applicable Fees: Ethereum Classic’s fee structure involves user-paid transaction fees to support network operations and discourage spam transactions.
S.9 Energy consumption sources and methodologies
For the calculation of energy consumptions, the so called ‘top-down’ approach is being used, within which an economic calculation of the miners is assumed. Miners are persons or devices that actively participate in the proof-of-work consensus mechanism. The miners are considered to be the central factor for the energy consumption of the network. Hardware is pre-selected based on the consensus mechanism’s hash algorithm: Etchash. A current profitability threshold is determined on the basis of the revenue and cost structure for mining operations. Only Hardware above the profitability threshold is considered for the network. The energy consumption of the network can be determined by taking into account the distribution for the hardware, the efficiency levels for operating the hardware and on-chain information regarding the miners’ revenue opportunities. If significant use of merge mining is known, this is taken into account. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute,
“Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Solana SOL | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 6843750.00000 | kWh/a |
| S.10 Renewable energy consumption | 38.5831139958 | % |
| S.11 Energy intensity | 0.00000 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 2319.13534 | tCO2e |
| S.14 GHG intensity | 0.00000 | kgCO2e |
Solana uses a unique combination of Proof of History (PoH) and Proof of Stake (PoS) to achieve high throughput, low latency, and robust security.
Core Concepts:
Consensus Process:
Security and Economic Incentives:
S.5 Incentive Mechanisms and Applicable Fees
Solana uses a combination of Proof of History (PoH) and Proof of Stake (PoS) to secure its network and validate transactions.
Incentive Mechanisms:
Transaction Fees:
Low and Predictable Fees: Solana is designed to handle a high throughput of transactions, which helps keep fees low and predictable. The average transaction fee on Solana is significantly lower compared to other blockchains like Ethereum.
Fee Structure: Fees are paid in SOL and are used to compensate validators for the resources they expend to process transactions. This includes computational power and network bandwidth.
Rent Fees: State Storage: Solana charges rent fees for storing data on the blockchain. These fees are designed to discourage inefficient use of state storage and encourage developers to clean up unused state. Rent fees help maintain the efficiency and performance of the network.
Smart Contract Fees: Execution Costs: Similar to transaction fees, fees for deploying and interacting with smart contracts on Solana are based on the computational resources required. This ensures that users are charged proportionally for the resources they consume.
S.9 Energy consumption sources and methodologies
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Internet Computer Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 5834160.00000 kWh/a | kWh/a |
| S.10 Renewable energy consumption | 35.9000000000 % | % |
| S.11 Energy intensity | 0.00720 kWh | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 tCO2e | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 2047.79016 tCO2e | tCO2e |
| S.14 GHG intensity | 0.00253 | kgCO2e |
The Internet Computer Protocol (ICP) uses a unique consensus mechanism called Threshold Relay combined with Chain Key Technology to ensure decentralized, scalable, and secure operations for its network.
Core Components of ICP’s Consensus Mechanism:
The Internet Computer Protocol (ICP) incentivizes network participants (validators, node operators, and canister developers) through various reward mechanisms and transaction fees. Here’s a breakdown of the incentive mechanisms and applicable fees related to ICP:
Incentive Mechanism:
Network Participation and Rewards:
Canister Developers and Network Participants:
Governance: The ICP Token is used for governance via the Network Nervous System (NNS), where holders of ICP tokens participate in decisions regarding the protocol, such as network upgrades, incentive adjustments, and the allocation of funds. Token holders are rewarded with the ability to influence the future of the network.
Staking Rewards: Staking: ICP token holders can participate in staking their tokens in the NNS, which influences network consensus and governance. By participating in staking, they help secure the network and are rewarded with staking rewards (a form of passive income). The staking rewards are given to token holders who participate in securing the network via the NNS.
Applicable Fees:
Transaction Fees:
Storage Fees: Canister Data Storage: Developers and users who deploy applications on the Internet Computer are required to pay fees for storing data. These fees ensure that network resources are used efficiently and that canisters do not waste storage space. The cost of storage is typically paid in ICP tokens.
Governance Participation Fees: Voting and Proposal Fees: Participation in the governance process via the NNS (Network Nervous System) may require a small fee, depending on the type of governance action (such as submitting a proposal or voting). These fees ensure that governance is distributed and prevent spam attacks on the governance system.
Node and Validator Fees: Fees for Node Operations: Node operators who provide computational power to the network may incur costs related to maintaining hardware and operating nodes. These fees are partially offset by rewards for providing network resources.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) internet_computer is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute”
[dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Filecoin | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 2409053.34136 | kWh/a |
| S.10 Renewable energy consumption | 37.9124282679 | % |
| S.11 Energy intensity | 0.00166 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 801.76670 | tCO2e |
| S.14 GHG intensity | 0.00055 | kgCO2e |
Filecoin is present on the following networks: Binance Smart Chain, Filecoin, Huobi.
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
Validators (so-called “Cabinet Members”): Validators on BSC are responsible for producing new blocks, validating transactions, and maintaining the network’s security. To become a validator, an entity must stake a significant amount of BNB (Binance Coin). Validators are selected through staking and voting by token holders. There are 21 active validators at any given time, rotating to ensure decentralization and security.
Delegators: Token holders who do not wish to run validator nodes can delegate their BNB tokens to validators. This delegation helps validators increase their stake and improves their chances of being selected to produce blocks. Delegators earn a share of the rewards that validators receive, incentivizing broad participation in network security.
Candidates: Candidates are nodes that have staked the required amount of BNB and are in the pool waiting to become validators. They are essentially potential validators who are not currently active but can be elected to the validator set through community voting. Candidates play a crucial role in ensuring there is always a sufficient pool of nodes ready to take on validation tasks, thus maintaining network resilience and decentralization. Consensus Process
Validator Selection: Validators are chosen based on the amount of BNB staked and votes received from delegators. The more BNB staked and votes received, the higher the chance of being selected to validate transactions and produce new blocks. The selection process involves both the current validators and the pool of candidates, ensuring a dynamic and secure rotation of nodes.
Block Production: The selected validators take turns producing blocks in a PoA-like manner, ensuring that blocks are generated quickly and efficiently. Validators validate transactions, add them to new blocks, and broadcast these blocks to the network.
Transaction Finality: BSC achieves fast block times of around 3 seconds and quick transaction finality. This is achieved through the efficient PoSA mechanism that allows validators to rapidly reach consensus. Security and Economic Incentives
Staking: Validators are required to stake a substantial amount of BNB, which acts as collateral to ensure their honest behavior. This staked amount can be slashed if validators act maliciously. Staking incentivizes validators to act in the network’s best interest to avoid losing their staked BNB.
Delegation and Rewards: Delegates earn rewards proportional to their stake in validators. This incentivizes them to choose reliable validators and participate in the network’s security. Validators and delegates share transaction fees as rewards, which provides continuous economic incentives to maintain network security and performance.
Transaction Fees: BSC employs low transaction fees, paid in BNB, making it cost-effective for users. These fees are collected by validators as part of their rewards, further incentivizing them to validate transactions accurately and efficiently.
Filecoin’s consensus mechanism, Expected Consensus (EC), is designed to reward data storage providers based on the amount of storage they contribute.
Core Components of Expected Consensus (EC):
Storage Power-Based Block Production: Probabilistic Block Selection: Block producers (miners) are chosen probabilistically based on their storage power, meaning providers with more storage capacity have higher chances of being selected to produce new blocks.
Proof of Replication (PoRep): Initial Data Verification: Miners provide cryptographic Proof of Replication to verify they are uniquely storing clients’ data at the start of each storage contract.
Proof of Spacetime (PoSt): Ongoing Verification: Miners periodically submit Proof of Spacetime to confirm they continue to store data over the contract’s duration, maintaining data availability and integrity.
Chain Quality and Fork Choice: Chain Quality Rule: In cases of chain splits, the network follows the chain with the highest cumulative storage power, ensuring security by selecting the most robust chain.
The Huobi Eco Chain (HECO) blockchain employs a Hybrid-Proof-of-Stake (HPoS) consensus mechanism, combining elements of Proof-of-Stake (PoS) to enhance transaction efficiency and scalability.
Key Features of HECO’s Consensus Mechanism:
Validator Selection: HECO supports up to 21 validators, selected based on their stake in the network.
Transaction Processing: Validators are responsible for processing transactions and adding blocks to the blockchain.
Transaction Finality: The consensus mechanism ensures quick finality, allowing for rapid confirmation of transactions.
Energy Efficiency: By utilizing PoS elements, HECO reduces energy consumption compared to traditional Proof-of-Work systems.
S.5 Incentive Mechanisms and Applicable Fees
Filecoin is present on the following networks: Binance Smart Chain, Filecoin, Huobi.
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Incentive Mechanisms
Fees on the Binance Smart Chain
Filecoin incentivizes storage providers (miners) to maintain data integrity and make decentralized storage available through block rewards and storage fees.
Incentive Mechanisms:
Block Rewards:
Storage Fees:
Data Retrieval Payments: In addition to storage fees, miners can earn retrieval fees for providing data access to clients. These fees incentivize storage providers to make stored data readily accessible, enabling Filecoin to support efficient, decentralized data retrieval services.
Slashing and Penalties:
Applicable Fees:
Transaction Fees: Filecoin charges transaction fees for standard network operations, paid in FIL. These fees help maintain network functionality and discourage spam by aligning costs with network resource usage.
Gas Fees: Miners pay gas fees based on the computational resources required to submit PoRep and PoSt proofs. These fees are integral to the network’s operation, ensuring that participants contribute fairly to Filecoin’s resource demands.
Storage and Retrieval Fees: Clients pay miners for data storage on a contract basis, and retrieval fees are paid when miners deliver data on request. These fees are tailored to the type and duration of storage services, providing flexibility in data pricing and availability.
The Huobi Eco Chain (HECO) blockchain employs a Hybrid-Proof-of-Stake (HPoS) consensus mechanism, combining elements of Proof-of-Stake (PoS) to enhance transaction efficiency and scalability.
Incentive Mechanism:
Applicable Fees:
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) binance_smart_chain, huobi is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Ethereum Eth | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 2159953.20000 | kWh/a |
| S.10 Renewable energy consumption | 37.9124101186 | % |
| S.11 Energy intensity | 0.00008 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 718.86066 | tCO2e |
| S.14 GHG intensity | 0.00003 | kgCO2e |
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Avalanche AVAX | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 817744.54980 | kWh/a |
| S.10 Renewable energy consumption | 36.3152910542 | % |
| S.11 Energy intensity | 0.00005 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 307.03511 | tCO2e |
| S.14 GHG intensity | 0.00002 | kgCO2e |
Avalanche AVAX is present on the following networks: Avalanche, Avalanche X Chain.
The Avalanche blockchain network employs a unique Proof-of-Stake consensus mechanism called Avalanche Consensus, which involves three interconnected protocols: Snowball, Snowflake, and Avalanche.
Avalanche Consensus Process:
The Avalanche X-Chain uses the Avalanche consensus protocol, which relies on repeated subsampling of validators to reach agreement on transactions.
Avalanche AVAX is present on the following networks: Avalanche, Avalanche X Chain.
Avalanche uses a consensus mechanism known as Avalanche Consensus, which relies on a combination of validators, staking, and a novel approach to consensus to ensure the network’s security and integrity.
Validators:
Staking: Validators on the Avalanche network are required to stake AVAX tokens. The amount staked influences their probability of being selected to propose or validate new blocks. Rewards: Validators earn rewards for their participation in the consensus process. These rewards are proportional to the amount of AVAX staked and their uptime and performance in validating transactions. Delegation: Validators can also accept delegations from other token holders. Delegates share in the rewards based on the amount they delegate, which incentivizes smaller holders to participate indirectly in securing the network.
Economic Incentives:
Block Rewards: Validators receive block rewards for proposing and validating blocks. These rewards are distributed from the network’s inflationary issuance of AVAX tokens. Transaction Fees: Validators also earn a portion of the transaction fees paid by users. This includes fees for simple transactions, smart contract interactions, and the creation of new assets on the network.
Penalties:
Fees on the Avalanche Blockchain
Transaction Fees:
Smart Contract Fees: Execution Costs: Fees for deploying and interacting with smart contracts are determined by the computational resources required. These fees ensure that the network remains efficient and that resources are used responsibly.
Asset Creation Fees: New Asset Creation: There are fees associated with creating new assets (tokens) on the Avalanche network. These fees help to prevent spam and ensure that only serious projects use the network’s resources.
Validator incentives on the X-Chain are indirect and come from network-wide AVAX issuance. Transaction fees are fixed and burned to prevent spam and reduce the total supply of AVAX over time
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) avalanche, avalanche_x_chain is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute”
[dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Cardano ADA | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 813103.20000 | kWh/a |
| S.10 Renewable energy consumption | 37.4187578605 | % |
| S.11 Energy intensity | 0.00114 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 273.81815 | tCO2e |
| S.14 GHG intensity | 0.00039 | kgCO2e |
Core Components: Cardano uses the Ouroboros consensus mechanism, a Proof of Stake (PoS) protocol designed for scalability, security, and energy efficiency.
Core Concepts:
Cardano uses incentive mechanisms to ensure network security and decentralization through staking rewards, slashing mechanisms, and transaction fees.
S.9 Energy consumption sources and methodologies
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Polkadot DOT | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 630720.00000 | kWh/a |
| S.10 Renewable energy consumption | 39.0267442857 | % |
| S.11 Energy intensity | 0.00004 | kWh |
| S.12 Scope 1 DLT GHG emission - Controlled | 0.00000 | tCO2e |
| S.13 Scope 2 DLT GHG emission - Purchased | 186.14368 | tCO2e |
| S.14 GHG intensity | 0.00001 | kgCO2e |
Polkadot DOT is present on the following networks: Astar, Polkadot.
Astar uses a hybrid consensus mechanism that combines Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), with the added feature of Sharded Multichain capabilities. The primary goal is to provide a scalable, interoperable, and decentralized platform for building decentralized applications (dApps), which can run on multiple blockchains in parallel.
Key Features of Astar’s Consensus Mechanism:
Proof of Stake (PoS): In Astar, validators participate by staking ASTR tokens, the native currency of the network. The more tokens staked, the higher the chances of being selected as a validator. Validators are responsible for validating transactions and securing the network. Validators receive block rewards for their efforts, which are paid in ASTR tokens.
Delegated Proof of Stake (DPoS): Astar incorporates DPoS to allow ASTR token holders to vote for validators. Token holders delegate their voting power to trusted validators, who then produce blocks and validate transactions. This ensures greater decentralization by allowing the community to have a direct say in who validates the network. Delegates receive a share of the block rewards earned by their selected validators.
Sharded Multichain: Astar’s consensus mechanism allows for multichain execution via Parachains in the Polkadot ecosystem, enabling Astar to process multiple parallel chains and increase scalability. This sharding mechanism ensures that Astar can scale effectively, maintaining high throughput while decentralizing the network.
Finality: Astar leverages Polkadot’s GRANDPA (GHOST-based Recursive Ancestor Deriving Prefix Agreement) finality gadget for fast and deterministic finality. Once a block is finalized, it is irreversible, ensuring the integrity and security of transactions.
Polkadot, a heterogeneous multi-chain framework designed to enable different blockchains to interoperate, uses a sophisticated consensus mechanism known as Nominated Proof-of-Stake (NPoS). This mechanism combines elements of Proof-of-Stake (PoS) and a layered consensus model involving multiple roles and stages.
Core Components:
Consensus Process: Polkadot’s consensus mechanism operates through a combination of two key protocols: GRANDPA (GHOST-based Recursive Ancestor Deriving Prefix Agreement) and BABE (Blind Assignment for Blockchain Extension).
Detailed Steps:
Polkadot DOT is present on the following networks: Astar, Polkadot.
Astar incentivizes network participation through block rewards, transaction fees, and staking rewards while encouraging governance via delegated voting.
Incentive Mechanism:
Applicable Fees:
Polkadot uses a consensus mechanism called Nominated Proof-of-Stake (NPoS), which involves a combination of validators, nominators, and a unique layered consensus process to secure the network:
Incentive Mechanisms:
Validators:
Nominators:
Collators:
Fishermen: Monitoring: Fishermen are responsible for monitoring the network for malicious activities. They are rewarded for identifying and reporting malicious behavior, which helps maintain the network’s security.
Economic Penalties:
Fees on the Polkadot Blockchain:
Transaction Fees:
Smart Contract Fees: Execution Costs: Fees for deploying and interacting with smart contracts on Polkadot are based on the computational resources required. This encourages efficient use of network resources.
Parachain Slot Auction Fees: Bidding for Slots: Projects that want to secure a parachain slot must participate in a slot auction. They bid DOT tokens, and the highest bidders win the right to operate a parachain for a specified period. This process ensures that only serious projects with significant backing can secure parachain slots, contributing to the network’s overall quality and security.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) astar is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
S.15 Key energy sources and methodologies
To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables.
S.16 Key GHG sources and methodologies
To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction.
Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Algorand | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 420961.80000 | kWh/a |
The Algorand blockchain utilizes a consensus mechanism termed Pure Proof-of-Stake (PPoS). Consensus, in this context, describes the method by which blocks are selected and appended to the blockchain. Algorand employs a verifiable random function (VRF) to select leaders who propose blocks for each round.
Upon block proposal, a pseudorandomly selected committee of voters is chosen to evaluate the proposal. If a supermajority of these votes are from honest participants, the block is certified. What makes this algorithm a Pure Proof of Stake is that users are chosen for committees based on the number of algos in their accounts. This system leverages random committee selection to maintain high performance and inclusivity within the network.
The consensus process involves three stages:
Algorand’s consensus mechanism, Pure Proof-of-Stake (PPoS), relies on the participation of token holders (stakers) to ensure the network’s security and integrity:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Sui | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 394725.60000 | kWh/a |
The Sui blockchain utilizes a Byzantine Fault Tolerant (BFT) consensus mechanism optimized for high throughput and low latency.
Core Components:
Security and Economic Incentives:
Fees on the SUI Blockchain:
Transaction Fees: Users pay transaction fees to validators for processing and confirming transactions. These fees are calculated based on the computational resources required to process the transaction. Fees are paid in SUI tokens, which is the native cryptocurrency of the Sui blockchain.
Dynamic Fee Model: The transaction fees on Sui are dynamic, meaning they adjust based on network demand and the complexity of the transactions being processed.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) sui is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Ripple XRP | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 299655.68287 | kWh/a |
Qualitative information
Ripple XRP is present on the following networks: Binance Smart Chain, Klaytn, Ripple.
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
Validators (so-called “Cabinet Members”): Validators on BSC are responsible for producing new blocks, validating transactions, and maintaining the network’s security. To become a validator, an entity must stake a significant amount of BNB (Binance Coin). Validators are selected through staking and voting by token holders. There are 21 active validators at any given time, rotating to ensure decentralization and security.
Delegates: Token holders who do not wish to run validator nodes can delegate their BNB tokens to validators. This delegation helps validators increase their stake and improves their chances of being selected to produce blocks. Delegates earn a share of the rewards that validators receive, incentivizing broad participation in network security.
Candidates: Candidates are nodes that have staked the required amount of BNB and are in the pool waiting to become validators. They are essentially potential validators who are not currently active but can be elected to the validator set through community voting. Candidates play a crucial role in ensuring there is always a sufficient pool of nodes ready to take on validation tasks, thus maintaining network resilience and decentralization. Consensus Process
Validator Selection: Validators are chosen based on the amount of BNB staked and votes received from delegates. The more BNB staked and votes received, the higher the chance of being selected to validate transactions and produce new blocks. The selection process involves both the current validators and the pool of candidates, ensuring a dynamic and secure rotation of nodes.
Block Production: The selected validators take turns producing blocks in a PoA-like manner, ensuring that blocks are generated quickly and efficiently. Validators validate transactions, add them to new blocks, and broadcast these blocks to the network.
Transaction Finality: BSC achieves fast block times of around 3 seconds and quick transaction finality. This is achieved through the efficient PoSA mechanism that allows validators to rapidly reach consensus. Security and Economic Incentives
Staking: Validators are required to stake a substantial amount of BNB, which acts as collateral to ensure their honest behavior. This staked amount can be slashed if validators act maliciously. Staking incentivizes validators to act in the network’s best interest to avoid losing their staked BNB.
Delegation and Rewards: Delegates earn rewards proportional to their stake in validators. This incentivizes them to choose reliable validators and participate in the network’s security. Validators and delegators share transaction fees as rewards, which provides continuous economic incentives to maintain network security and performance.
Transaction Fees: BSC employs low transaction fees, paid in BNB, making it cost-effective for users. These fees are collected by validators as part of their rewards, further incentivizing them to validate transactions accurately and efficiently.
Klaytn employs a modified Istanbul Byzantine Fault Tolerance (IBFT) consensus algorithm, a variant of Proof of Authority (PoA), enabling high performance and immediate transaction finality.
Core Components of Klaytn’s Consensus:
The Ripple blockchain, specifically the XRP Ledger (XRPL), uses a consensus mechanism known as the Ripple Protocol Consensus Algorithm (RPCA). It differs from Proof of Work (PoW) and Proof of Stake (PoS) as it doesn’t rely on mining or staking but instead leverages trusted validators in a Federated Byzantine Agreement (FBA) model.
Core Concepts:
Consensus Process:
Ripple XRP is present on the following networks: Binance Smart Chain, Klaytn, Ripple.
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Klaytn’s incentive structure includes block rewards and transaction fees distributed to Consensus Nodes (CNs) and various network funds, fostering network security, sustainability, and community development.
Incentive Mechanisms:
Applicable Fees:
Transaction Fees: Transaction fees on Klaytn are paid in KLAY and calculated based on gas consumption. These fees support network maintenance by compensating validators and fostering economic sustainability.
The Ripple XRP blockchain uses a unique incentive structure that differs from traditional Proof of Work (PoW) or Proof of Stake (PoS) systems, focusing on its Ripple Protocol Consensus Algorithm (RPCA).
Incentive Mechanisms to Secure Transactions:
Fees on the Ripple XRP Blockchain:
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) binance_smart_chain, klaytn is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Aptos Coin | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 262800.00000 | kWh/a |
Aptos utilizes a Proof-of-Stake approach combined with a BFT consensus protocol to ensure high throughput, low latency, and secure transaction processing.
Core Components:
Incentive Mechanism:
Applicable Fees:
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) aptos_coin is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Injective Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 242523.66356 | kWh/a |
Qualitative information
S.4 Consensus Mechanism
Injective Token is present on the following networks: Binance Smart Chain, Cosmos, Ethereum, Injective, Osmosis.
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
The Cosmos network uses the Cosmos SDK, a modular framework that enables developers to build custom, application-specific blockchains. Cosmos SDK chains rely on Tendermint Core, a Byzantine Fault Tolerant (BFT) Proof of Stake (PoS) consensus engine that supports interoperability and fast transaction finality.
Core Components:
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Injective operates on a Tendermint-based Proof of Stake (PoS) consensus model, ensuring high throughput and immediate transaction finality.
Core Components:
Osmosis operates on a Proof of Stake (PoS) consensus mechanism, leveraging the Cosmos SDK and Tendermint Core to provide secure, decentralized, and scalable transaction processing.
Core Components:
Injective Token is present on the following networks: Binance Smart Chain, Cosmos, Ethereum, Injective, Osmosis.
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Validators:
Delegates:
Candidates: Pool of Potential Validators: Candidates are nodes that have staked the required amount of BNB and are waiting to become active validators. They ensure that there is always a sufficient pool of nodes ready to take on validation tasks, maintaining network resilience.
Economic Security:
Transaction Fees:
Block Rewards: Incentivizing Validators: Validators earn block rewards in addition to transaction fees. These rewards are distributed to validators for their role in maintaining the network and processing transactions.
Cross-Chain Fees: Interoperability Costs: BSC supports cross-chain compatibility, allowing assets to be transferred between Binance Chain and Binance Smart Chain. These cross-chain operations incur minimal fees, facilitating seamless asset transfers and improving user experience.
Smart Contract Fees: Deploying and interacting with smart contracts on BSC involves paying fees based on the computational resources required. These fees are also paid in BNB and are designed to be cost-effective, encouraging developers to build on the BSC platform.
The Cosmos network incentivizes both validators and delegators to secure the network through staking rewards, funded by transaction fees and newly minted ATOM.
Incentive Mechanisms:
Applicable Fees:
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
Injective incentivizes network participation through staking rewards and a unique transaction fee model that supports long-term value for INJ tokens.
Incentive Mechanisms:
Staking Rewards: INJ holders earn rewards for staking their tokens, encouraging active participation in securing the network. Validator Rewards: Validators receive staking rewards and transaction fees for processing transactions and maintaining network security.
Applicable Fees:
Transaction Fees: Users pay fees in INJ tokens for network transactions, including smart contract execution and trading. Fee Structure: A portion of transaction fees is burned via a weekly on-chain auction, reducing the overall supply of INJ tokens and supporting a deflationary tokenomics model.
Osmosis incentivizes validators, delegates, and liquidity providers through a combination of staking rewards, transaction fees, and liquidity incentives.
Incentive Mechanisms:
Applicable Fees:
Transaction Fees: Users pay transaction fees in OSMO tokens for network activities, including swaps, staking, and governance participation. These fees are distributed to validators and delegates, incentivizing their continued participation and support for network security.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. Due to the structure of this network, it is not only the mainnet that is responsible for energy consumption. In order to calculate the structure adequately, a proportion of the energy consumption of the connected network, cosmos, must also be taken into account, because the connected network is also responsible for security. This proportion is determined on the basis of gas consumption. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) binance_smart_chain, cosmos, ethereum, osmosis is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Polygon POL | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 97430.88773 | kWh/a |
Polygon POL is present on the following networks: Ethereum, Polygon.
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Polygon, formerly known as Matic Network, is a Layer 2 scaling solution for Ethereum that employs a hybrid consensus mechanism. Here’s a detailed explanation of how Polygon achieves consensus:
Core Concepts:
Consensus Process:
Security and Economic Incentives:
Polygon POL is present on the following networks: Ethereum, Polygon.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
Polygon uses a combination of Proof of Stake (PoS) and the Plasma framework to ensure network security, incentivize participation, and maintain transaction integrity.
Incentive Mechanisms:
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. Due to the structure of this network, it is not only the mainnet that is responsible for energy consumption. In order to calculate the structure adequately, a proportion of the energy consumption of the connected network, ethereum, must also be taken into account, because the connected network is also responsible for security. This proportion is determined on the basis of gas consumption. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Celestia | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 83196.38304 | kWh/a |
Celestia is present on the following networks: Celestia, Injective, Osmosis.
Celestia employs a Proof-of-Stake (PoS) consensus mechanism, wherein validators are selected based on the amount of TIA tokens they stake. These validators are responsible for ordering transactions and ensuring data availability within the network.
Injective operates on a Tendermint-based Proof of Stake (PoS) consensus model, ensuring high throughput and immediate transaction finality.
Core Components:
Osmosis operates on a Proof of Stake (PoS) consensus mechanism, leveraging the Cosmos SDK and Tendermint Core to provide secure, decentralized, and scalable transaction processing.
Core Components:
Celestia is present on the following networks: Celestia, Injective, Osmosis.
The native token, TIA, serves multiple roles within the Celestia ecosystem. Validators earn rewards in TIA for participating in the consensus process and maintaining data availability. Users pay transaction fees in TIA when submitting data to the network.
Injective incentivizes network participation through staking rewards and a unique transaction fee model that supports long-term value for INJ tokens.
INJ holders earn rewards for staking their tokens, encouraging active participation in securing the network.
Validators receive staking rewards and transaction fees for processing transactions and maintaining network security.
Users pay fees in INJ tokens for network transactions, including smart contract execution and trading.
A portion of transaction fees is burned via a weekly on-chain auction, reducing the overall supply of INJ tokens and supporting a deflationary tokenomics model.
Osmosis incentivizes validators, delegators, and liquidity providers through a combination of staking rewards, transaction fees, and liquidity incentives.
Users pay transaction fees in OSMO tokens for network activities, including swaps, staking, and governance participation. These fees are distributed to validators and delegators, incentivizing their continued participation and support for network security.
The energy consumption of this asset is aggregated across multiple components:
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
To determine the energy consumption of a token, the energy consumption of the network(s) injective, osmosis is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Bittensor | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 25228.80000 | kWh/a |
Bittensor employs a Proof-of-Stake consensus mechanism tailored for integrating blockchain technology with decentralized AI, ensuring secure, efficient, and reliable contributions from its participants.
Proof of Stake (PoS) with Neural Consensus:
Bittensor incentivizes network participants through token rewards for securing the network and contributing to its AI capabilities, with a fee structure designed to sustain network operations and encourage participation.
For the calculation of energy consumptions, the so called ‘bottom-up’ approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Wrapped BTC | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 22994.99654 | kWh/a |
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | ChainLink Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 9981.33196 | kWh/a |
ChainLink Token is present on the following networks: Arbitrum, Avalanche, Binance Smart Chain, Ethereum, Fantom, Gnosis Chain, Optimism, Polygon, Solana.
Arbitrum is a Layer 2 solution on top of Ethereum that uses Optimistic Rollups to enhance scalability and reduce transaction costs. It assumes that transactions are valid by default and only verifies them if there’s a challenge (optimistic).
Core Components:
Verification Process:
Security and Efficiency: The combination of the Sequencer, bridge, and interactive fraud proofs ensures that the system remains secure and efficient. By minimizing on-chain data and leveraging off-chain computations, Arbitrum can provide high throughput and low fees.
The Avalanche blockchain network employs a unique Proof-of-Stake consensus mechanism called Avalanche Consensus, which involves three interconnected protocols: Snowball, Snowflake, and Avalanche.
Avalanche Consensus Process:
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
Validators (so-called “Cabinet Members”): Validators on BSC are responsible for producing new blocks, validating transactions, and maintaining the network’s security. To become a validator, an entity must stake a significant amount of BNB (Binance Coin). Validators are selected through staking and voting by token holders. There are 21 active validators at any given time, rotating to ensure decentralization and security.
Delegates: Token holders who do not wish to run validator nodes can delegate their BNB tokens to validators. This delegation helps validators increase their stake and improves their chances of being selected to produce blocks. Delegates earn a share of the rewards that validators receive, incentivizing broad participation in network security.
Candidates: Candidates are nodes that have staked the required amount of BNB and are in the pool waiting to become validators. They are essentially potential validators who are not currently active but can be elected to the validator set through community voting. Candidates play a crucial role in ensuring there is always a sufficient pool of nodes ready to take on validation tasks, thus maintaining network resilience and decentralization. Consensus Process
Validator Selection: Validators are chosen based on the amount of BNB staked and votes received from delegates. The more BNB staked and votes received, the higher the chance of being selected to validate transactions and produce new blocks. The selection process involves both the current validators and the pool of candidates, ensuring a dynamic and secure rotation of nodes.
Block Production: The selected validators take turns producing blocks in a PoA-like manner, ensuring that blocks are generated quickly and efficiently. Validators validate transactions, add them to new blocks, and broadcast these blocks to the network.
Transaction Finality: BSC achieves fast block times of around 3 seconds and quick transaction finality. This is achieved through the efficient PoSA mechanism that allows validators to rapidly reach consensus. Security and Economic Incentives
Staking: Validators are required to stake a substantial amount of BNB, which acts as collateral to ensure their honest behavior. This staked amount can be slashed if validators act maliciously. Staking incentivizes validators to act in the network’s best interest to avoid losing their staked BNB.
Delegation and Rewards: Delegates earn rewards proportional to their stake in validators. This incentivizes them to choose reliable validators and participate in the network’s security. Validators and delegates share transaction fees as rewards, which provides continuous economic incentives to maintain network security and performance.
Transaction Fees: BSC employs low transaction fees, paid in BNB, making it cost-effective for users. These fees are collected by validators as part of their rewards, further incentivizing them to validate transactions accurately and efficiently.
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Fantom operates on the Lachesis Protocol, an Asynchronous Byzantine Fault Tolerant (aBFT) consensus mechanism designed for fast, secure, and scalable transactions.
Core Components of Fantom’s Consensus:
Gnosis Chain – Consensus Mechanism Gnosis Chain employs a dual-layer structure to balance scalability and security, using Proof of Stake (PoS) for its core consensus and transaction finality.
Core Components:
Optimism is a Layer 2 scaling solution for Ethereum that uses Optimistic Rollups to increase transaction throughput and reduce costs while inheriting the security of the Ethereum main chain.
Core Components:
Consensus Process:
Polygon, formerly known as Matic Network, is a Layer 2 scaling solution for Ethereum that employs a hybrid consensus mechanism. Here’s a detailed explanation of how Polygon achieves consensus:
Core Concepts:
Consensus Process:
Security and Economic Incentives:
Solana uses a unique combination of Proof of History (PoH) and Proof of Stake (PoS) to achieve high throughput, low latency, and robust security.
Core Concepts:
Consensus Process:
Transaction Validation: Transactions are broadcast to the network and collected by validators. Each transaction is validated to ensure it meets the network’s criteria, such as having correct signatures and sufficient funds.
PoH Sequence Generation: A validator generates a sequence of hashes using PoH, each containing a timestamp and the previous hash. This process creates a historical record of transactions, establishing a cryptographic clock for the network.
Block Production: The network uses PoS to select a leader validator based on their stake. The leader is responsible for bundling the validated transactions into a block. The leader validator uses the PoH sequence to order transactions within the block, ensuring that all transactions are processed in the correct order.
Consensus and Finalization: Other validators verify the block produced by the leader validator. They check the correctness of the PoH sequence and validate the transactions within the block. Once the block is verified, it is added to the blockchain. Validators sign off on the block, and it is considered finalized.
Security and Economic Incentives:
Incentives for Validators:
Security:
Economic Penalties: Slashing: Validators can be penalized for malicious behavior, such as double-signing or producing invalid blocks. This penalty, known as slashing, results in the loss of a portion of the staked tokens, discouraging dishonest actions.
S.5 Incentive Mechanisms and Applicable Fees
ChainLink Token is present on the following networks: Arbitrum, Avalanche, Binance Smart Chain, Ethereum, Fantom, Gnosis Chain, Optimism, Polygon, Solana.
Arbitrum One, a Layer 2 scaling solution for Ethereum, employs several incentive mechanisms to ensure the security and integrity of transactions on its network. The key mechanisms include:
Validators and Sequencers:
Fraud Proofs:
Economic Incentives:
Fees on the Arbitrum One Blockchain
Avalanche uses a consensus mechanism known as Avalanche Consensus, which relies on a combination of validators, staking, and a novel approach to consensus to ensure the network’s security and integrity.
Staking: Validators on the Avalanche network are required to stake AVAX tokens. The amount staked influences their probability of being selected to propose or validate new blocks. Rewards: Validators earn rewards for their participation in the consensus process. These rewards are proportional to the amount of AVAX staked and their uptime and performance in validating transactions. Delegation: Validators can also accept delegations from other token holders. Delegators share in the rewards based on the amount they delegate, which incentivizes smaller holders to participate indirectly in securing the network.
Block Rewards: Validators receive block rewards for proposing and validating blocks. These rewards are distributed from the network’s inflationary issuance of AVAX tokens. Transaction Fees: Validators also earn a portion of the transaction fees paid by users. This includes fees for simple transactions, smart contract interactions, and the creation of new assets on the network.
Execution Costs: Fees for deploying and interacting with smart contracts are determined by the computational resources required. These fees ensure that the network remains efficient and that resources are used responsibly.
New Asset Creation: There are fees associated with creating new assets (tokens) on the Avalanche network. These fees help to prevent spam and ensure that only serious projects use the network’s resources.
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Pool of Potential Validators: Candidates are nodes that have staked the required amount of BNB and are waiting to become active validators. They ensure that there is always a sufficient pool of nodes ready to take on validation tasks, maintaining network resilience.
Transaction Fees:
Block Rewards: Incentivizing Validators: Validators earn block rewards in addition to transaction fees. These rewards are distributed to validators for their role in maintaining the network and processing transactions.
Cross-Chain Fees: Interoperability Costs: BSC supports cross-chain compatibility, allowing assets to be transferred between Binance Chain and Binance Smart Chain. These cross-chain operations incur minimal fees, facilitating seamless asset transfers and improving user experience.
Smart Contract Fees: Deploying and interacting with smart contracts on BSC involves paying fees based on the computational resources required. These fees are also paid in BNB and are designed to be cost-effective, encouraging developers to build on the BSC platform.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
Fantom’s incentive model promotes network security through staking rewards, transaction fees, and delegation options, encouraging broad participation.
Staking Rewards for Validators:
Delegation for Token Holders: Delegated Staking: Users who do not operate validator nodes can delegate their FTM tokens to validators. In return, they share in the staking rewards, encouraging wider participation in securing the network.
Applicable Fees:
The Gnosis Chain’s incentive and fee models encourage both validator participation and network accessibility, using a dual-token system to maintain low transaction costs and effective staking rewards.
Incentive Mechanisms:
Applicable Fees:
Transaction Fees in xDai Users pay transaction fees in xDai, the stable fee token, making costs affordable and predictable. This model is especially suited for high-frequency applications and dApps where low transaction fees are essential. xDai transaction fees are redistributed to validators as part of their compensation, aligning their rewards with network activity. Delegated Staking Rewards Through delegated staking, GNO holders can earn a share of staking rewards by delegating their tokens to active validators, promoting user participation in network security without requiring direct involvement in consensus operations.
Optimism, an Ethereum Layer 2 scaling solution, uses Optimistic Rollups to increase transaction throughput and reduce costs while maintaining security and decentralization.
Incentive Mechanisms:
Fees Applicable on the Optimism Layer 2 Protocol:
Polygon uses a combination of Proof of Stake (PoS) and the Plasma framework to ensure network security, incentivize participation, and maintain transaction integrity.
Incentive Mechanisms:
Validators:
Delegators:
Economic Security:
4. Transaction Fees:
5. Smart Contract Fees: Deployment and Execution Costs: Deploying and interacting with smart contracts on Polygon incurs fees based on the computational resources required. These fees are also paid in MATIC tokens and are much lower than on Ethereum, making it cost-effective for developers to build and maintain decentralized applications (dApps) on Polygon.
6. Plasma Framework: State Transfers and Withdrawals: The Plasma framework allows for off-chain processing of transactions, which are periodically batched and committed to the Ethereum main chain. Fees associated with these processes are also paid in MATIC tokens, and they help reduce the overall cost of using the network.
Solana uses a combination of Proof of History (PoH) and Proof of Stake (PoS) to secure its network and validate transactions.
Incentive Mechanisms:
1. Validators:
2. Delegators:
3. Economic Security:
Transaction Fees:
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) arbitrum, avalanche, binance_smart_chain, ethereum, fantom, gnosis_chain, optimism, polygon, solana is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | ENA | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 9939.69033 | kWh/a |
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Uniswap | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 9280.76148 | kWh/a |
Uniswap is present on the following networks: Arbitrum, Binance Smart Chain, Ethereum, Polygon.
Arbitrum is a Layer 2 solution on top of Ethereum that uses Optimistic Rollups to enhance scalability and reduce transaction costs. It assumes that transactions are valid by default and only verifies them if there’s a challenge (optimistic).
Core Components:
Verification Process:
Security and Efficiency: The combination of the Sequencer, bridge, and interactive fraud proofs ensures that the system remains secure and efficient. By minimizing on-chain data and leveraging off-chain computations, Arbitrum can provide high throughput and low fees.
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Polygon, formerly known as Matic Network, is a Layer 2 scaling solution for Ethereum that employs a hybrid consensus mechanism. Here’s a detailed explanation of how Polygon achieves consensus:
Core Concepts:
Proof of Stake (PoS):
Plasma Chains:
Consensus Process:
Transaction Validation: Transactions are first validated by validators who have staked MATIC tokens. These validators confirm the validity of transactions and include them in blocks.
Block Production:
Plasma Framework:
Security and Economic Incentives:
Incentives for Validators:
Delegation: Shared Rewards: Delegates earn a share of the rewards earned by the validators they delegate to. This encourages more token holders to participate in securing the network by choosing reliable validators.
Economic Security: Slashing: Validators can be penalized for malicious behavior or failure to perform their duties. This penalty, known as slashing, involves the loss of a portion of their staked tokens, ensuring that validators act in the best interest of the network.
Uniswap is present on the following networks: Arbitrum, Binance Smart Chain, Ethereum, Polygon.
Arbitrum One, a Layer 2 scaling solution for Ethereum, employs several incentive mechanisms to ensure the security and integrity of transactions on its network. The key mechanisms include:
Validators and Sequencers:
Fraud Proofs:
Economic Incentives:
Transaction Fees:
L1 Data Fees:
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Validators:
Delegators:
Candidates: Pool of Potential Validators: Candidates are nodes that have staked the required amount of BNB and are waiting to become active validators. They ensure that there is always a sufficient pool of nodes ready to take on validation tasks, maintaining network resilience.
Economic Security:
Fees on the Binance Smart Chain
Transaction Fees:
Block Rewards: Incentivizing Validators: Validators earn block rewards in addition to transaction fees. These rewards are distributed to validators for their role in maintaining the network and processing transactions.
Cross-Chain Fees: Interoperability Costs: BSC supports cross-chain compatibility, allowing assets to be transferred between Binance Chain and Binance Smart Chain. These cross-chain operations incur minimal fees, facilitating seamless asset transfers and improving user experience.
Smart Contract Fees: Deploying and interacting with smart contracts on BSC involves paying fees based on the computational resources required. These fees are also paid in BNB and are designed to be cost-effective, encouraging developers to build on the BSC platform.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
Polygon uses a combination of Proof of Stake (PoS) and the Plasma framework to ensure network security, incentivize participation, and maintain transaction integrity.
Incentive Mechanisms:
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) arbitrum, binance_smart_chain, ethereum, polygon is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Aave Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 4247.27797 | kWh/a |
Aave Token is present on the following networks: Avalanche, Binance Smart Chain, Ethereum, Gnosis Chain, Huobi, Near Protocol, Polygon, Solana.
The Avalanche blockchain network employs a unique Proof-of-Stake consensus mechanism called Avalanche Consensus, which involves three interconnected protocols: Snowball, Snowflake, and Avalanche.
Avalanche Consensus Process:
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Gnosis Chain – Consensus Mechanism Gnosis Chain employs a dual-layer structure to balance scalability and security, using Proof of Stake (PoS) for its core consensus and transaction finality.
Core Components:
The Huobi Eco Chain (HECO) blockchain employs a Hybrid-Proof-of-Stake (HPoS) consensus mechanism, combining elements of Proof-of-Stake (PoS) to enhance transaction efficiency and scalability.
Key Features of HECO’s Consensus Mechanism:
The NEAR Protocol uses a unique consensus mechanism combining Proof of Stake (PoS) and a novel approach called Doomslug, which enables high efficiency, fast transaction processing, and secure finality in its operations.
Core Concepts:
Consensus Process:
Polygon, formerly known as Matic Network, is a Layer 2 scaling solution for Ethereum that employs a hybrid consensus mechanism. Here’s a detailed explanation of how Polygon achieves consensus:
Core Concepts:
Consensus Process:
Security and Economic Incentives:
Solana uses a unique combination of Proof of History (PoH) and Proof of Stake (PoS) to achieve high throughput, low latency, and robust security.
Core Concepts:
Consensus Process:
Security and Economic Incentives:
S.5 Incentive Mechanisms and Applicable Fees
Aave Token is present on the following networks: Avalanche, Binance Smart Chain, Ethereum, Gnosis Chain, Huobi, Near Protocol, Polygon, Solana.
Avalanche uses a consensus mechanism known as Avalanche Consensus, which relies on a combination of validators, staking, and a novel approach to consensus to ensure the network’s security and integrity.
Validators:
Staking: Validators on the Avalanche network are required to stake AVAX tokens. The amount staked influences their probability of being selected to propose or validate new blocks. Rewards: Validators earn rewards for their participation in the consensus process. These rewards are proportional to the amount of AVAX staked and their uptime and performance in validating transactions. Delegation: Validators can also accept delegations from other token holders. Delegates share in the rewards based on the amount they delegate, which incentivizes smaller holders to participate indirectly in securing the network.
Economic Incentives:
Block Rewards: Validators receive block rewards for proposing and validating blocks. These rewards are distributed from the network’s inflationary issuance of AVAX tokens. Transaction Fees: Validators also earn a portion of the transaction fees paid by users. This includes fees for simple transactions, smart contract interactions, and the creation of new assets on the network.
Penalties:
Fees on the Avalanche Blockchain
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegates.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The Gnosis Chain’s incentive and fee models encourage both validator participation and network accessibility, using a dual-token system to maintain low transaction costs and effective staking rewards.
Incentive Mechanisms:
Applicable Fees:
Transaction Fees in xDai Users pay transaction fees in xDai, the stable fee token, making costs affordable and predictable. This model is especially suited for high-frequency applications and dApps where low transaction fees are essential. xDai transaction fees are redistributed to validators as part of their compensation, aligning their rewards with network activity. Delegated Staking Rewards Through delegated staking, GNO holders can earn a share of staking rewards by delegating their tokens to active validators, promoting user participation in network security without requiring direct involvement in consensus operations.
The Huobi Eco Chain (HECO) blockchain employs a Hybrid-Proof-of-Stake (HPoS) consensus mechanism, combining elements of Proof-of-Stake (PoS) to enhance transaction efficiency and scalability.
Incentive Mechanism:
Applicable Fees:
NEAR Protocol employs several economic mechanisms to secure the network and incentivize participation.
Incentive Mechanisms to Secure Transactions:
Fees on the NEAR Blockchain:
Polygon uses a combination of Proof of Stake (PoS) and the Plasma framework to ensure network security, incentivize participation, and maintain transaction integrity.
Deployment and Execution Costs: Deploying and interacting with smart contracts on Polygon incurs fees based on the computational resources required. These fees are also paid in MATIC tokens and are much lower than on Ethereum, making it cost-effective for developers to build and maintain decentralized applications (dApps) on Polygon.
State Transfers and Withdrawals: The Plasma framework allows for off-chain processing of transactions, which are periodically batched and committed to the Ethereum main chain. Fees associated with these processes are also paid in MATIC tokens, and they help reduce the overall cost of using the network.
Solana uses a combination of Proof of History (PoH) and Proof of Stake (PoS) to secure its network and validate transactions.
Solana is designed to handle a high throughput of transactions, which helps keep fees low and predictable. The average transaction fee on Solana is significantly lower compared to other blockchains like Ethereum.
Fees are paid in SOL and are used to compensate validators for the resources they expend to process transactions. This includes computational power and network bandwidth.
State Storage: Solana charges rent fees for storing data on the blockchain. These fees are designed to discourage inefficient use of state storage and encourage developers to clean up unused state. Rent fees help maintain the efficiency and performance of the network.
Execution Costs: Similar to transaction fees, fees for deploying and interacting with smart contracts on Solana are based on the computational resources required. This ensures that users are charged proportionally for the resources they consume.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) avalanche, binance_smart_chain, ethereum, gnosis_chain, huobi, near_protocol, polygon, solana is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | SHIBA INU | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 2895.36852 | kWh/a |
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Pepe | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 2753.99033 | kWh/a |
Qualitative information
S.4 Consensus Mechanism
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Ondo | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 2125.11746 | kWh/a |
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Render Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 985.96679 | kWh/a |
Render Token is present on the following networks: Ethereum, Solana.
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Solana uses a unique combination of Proof of History (PoH) and Proof of Stake (PoS) to achieve high throughput, low latency, and robust security.
Core Concepts:
Consensus Process:
Security and Economic Incentives:
Render Token is present on the following networks: Ethereum, Solana.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
Solana uses a combination of Proof of History (PoH) and Proof of Stake (PoS) to secure its network and validate transactions.
Incentive Mechanisms:
Transaction Fees:
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum, solana is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Arbitrum | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 972.48534 | kWh/a |
Arbitrum is present on the following networks: Arbitrum, Ethereum.
Arbitrum is a Layer 2 solution on top of Ethereum that uses Optimistic Rollups to enhance scalability and reduce transaction costs. It assumes that transactions are valid by default and only verifies them if there’s a challenge (optimistic).
Core Components:
Verification Process:
Security and Efficiency: The combination of the Sequencer, bridge, and interactive fraud proofs ensures that the system remains secure and efficient. By minimizing on-chain data and leveraging off-chain computations, Arbitrum can provide high throughput and low fees.
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Arbitrum is present on the following networks: Arbitrum, Ethereum.
Arbitrum One, a Layer 2 scaling solution for Ethereum, employs several incentive mechanisms to ensure the security and integrity of transactions on its network. The key mechanisms include:
Transaction Fees:
L1 Data Fees:
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) arbitrum, ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Graph Token | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 635.45607 | kWh/a |
Graph Token is present on the following networks: Arbitrum, Ethereum.
Arbitrum is a Layer 2 solution on top of Ethereum that uses Optimistic Rollups to enhance scalability and reduce transaction costs. It assumes that transactions are valid by default and only verifies them if there’s a challenge (optimistic).
Core Components:
Verification Process:
Security and Efficiency: The combination of the Sequencer, bridge, and interactive fraud proofs ensures that the system remains secure and efficient. By minimizing on-chain data and leveraging off-chain computations, Arbitrum can provide high throughput and low fees.
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
Graph Token is present on the following networks: Arbitrum, Ethereum.
Arbitrum One, a Layer 2 scaling solution for Ethereum, employs several incentive mechanisms to ensure the security and integrity of transactions on its network. The key mechanisms include:
Validators and Sequencers:
Fraud Proofs:
Economic Incentives:
Transaction Fees:
L1 Data Fees:
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) arbitrum, ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | OFFICIAL TRUMP | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 501.03209 | kWh/a |
Qualitative information
S.4 Consensus Mechanism
Solana uses a unique combination of Proof of History (PoH) and Proof of Stake (PoS) to achieve high throughput, low latency, and robust security.
Core Concepts:
Consensus Process:
Security and Economic Incentives:
S.5 Incentive Mechanisms and Applicable Fees
Solana uses a combination of Proof of History (PoH) and Proof of Stake (PoS) to secure its network and validate transactions.
Solana is designed to handle a high throughput of transactions, which helps keep fees low and predictable. The average transaction fee on Solana is significantly lower compared to other blockchains like Ethereum.
Fees are paid in SOL and are used to compensate validators for the resources they expend to process transactions. This includes computational power and network bandwidth.
State Storage: Solana charges rent fees for storing data on the blockchain. These fees are designed to discourage inefficient use of state storage and encourage developers to clean up unused state. Rent fees help maintain the efficiency and performance of the network.
Execution Costs: Similar to transaction fees, fees for deploying and interacting with smart contracts on Solana are based on the computational resources required. This ensures that users are charged proportionally for the resources they consume.
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) solana is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the etwork is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | FLOKI | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 480.77686 | kWh/a |
FLOKI is present on the following networks: Binance Smart Chain, Ethereum.
Binance Smart Chain (BSC) uses a hybrid consensus mechanism called Proof of Staked Authority (PoSA), which combines elements of Delegated Proof of Stake (DPoS) and Proof of Authority (PoA). This method ensures fast block times and low fees while maintaining a level of decentralization and security.
Core Components:
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
FLOKI is present on the following networks: Binance Smart Chain, Ethereum.
Binance Smart Chain (BSC) uses the Proof of Staked Authority (PoSA) consensus mechanism to ensure network security and incentivize participation from validators and delegators.
Validators:
Delegates:
Candidates: Pool of Potential Validators: Candidates are nodes that have staked the required amount of BNB and are waiting to become active validators. They ensure that there is always a sufficient pool of nodes ready to take on validation tasks, maintaining network resilience.
Economic Security:
Fees on the Binance Smart Chain
Transaction Fees:
Block Rewards: Incentivizing Validators: Validators earn block rewards in addition to transaction fees. These rewards are distributed to validators for their role in maintaining the network and processing transactions.
Cross-Chain Fees: Interoperability Costs: BSC supports cross-chain compatibility, allowing assets to be transferred between Binance Chain and Binance Smart Chain. These cross-chain operations incur minimal fees, facilitating seamless asset transfers and improving user experience.
Smart Contract Fees: Deploying and interacting with smart contracts on BSC involves paying fees based on the computational resources required. These fees are also paid in BNB and are designed to be cost-effective, encouraging developers to build on the BSC platform.
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) binance_smart_chain, ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
| Field | Value | Unit |
|---|---|---|
| S.1 Name | CHECKSIG S.R.L. SOCIETA’ BENEFIT | / |
| S.2 Relevant legal entity identifier | 8156006C715AAACC5D19 | / |
| S.3 Name of the crypto-asset | Dao Maker | / |
| S.6 Beginning of the period to which the disclosure relates | 2024-11-19 | / |
| S.7 End of the period to which the disclosure relates | 2025-11-19 | / |
| S.8 Energy consumption | 61.18507 | kWh/a |
Qualitative information
S.4 Consensus Mechanism
The crypto-asset’s Proof-of-Stake (PoS) consensus mechanism, introduced with The Merge in 2022, replaces mining with validator staking. Validators must stake at least 32 ETH every block a validator is randomly chosen to propose the next block. Once proposed the other validators verify the blocks integrity.
The network operates on a slot and epoch system, where a new block is proposed every 12 seconds, and finalization occurs after two epochs (~12.8 minutes) using Casper-FFG. The Beacon Chain coordinates validators, while the fork-choice rule (LMD-GHOST) ensures the chain follows the heaviest accumulated validator votes. Validators earn rewards for proposing and verifying blocks, but face slashing for malicious behavior or inactivity. PoS aims to improve energy efficiency, security, and scalability, with future upgrades like Proto-Danksharding enhancing transaction efficiency.
S.5 Incentive Mechanisms and Applicable Fees
The crypto-asset’s PoS system secures transactions through validator incentives and economic penalties. Validators stake at least 32 ETH and earn rewards for proposing blocks, attesting to valid ones, and participating in sync committees. Rewards are paid in newly issued ETH and transaction fees.
Under EIP-1559, transaction fees consist of a base fee, which is burned to reduce supply, and an optional priority fee (tip) paid to validators. Validators face slashing if they act maliciously and incur penalties for inactivity.
This system aims to increase security by aligning incentives while making the crypto-asset’s fee structure more predictable and deflationary during high network activity.
S.9 Energy consumption sources and methodologies
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) ethereum is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts.
This report was provided by Crypto Risk Metrics
Il conto consente l'accesso a tutti i servizi CheckSig. Servizi impeccabili, a condizioni estremamente vantaggiose.
Hai bisogno di chiarimenti? Hai esigenze specifiche? Contatta con il nostro supporto, sempre a tua disposizione.
© CheckSig Suisse AG - CHE-183.628.610