Core employs the Satoshi Plus consensus mechanism, which combines Delegated Proof of Work (DPoW), Delegated Proof of Stake (DPoS), and Non-Custodial Bitcoin Staking to provide robust security and scalability. Core Components: Delegated Proof of Work (DPoW): Integrates Bitcoin miners into the network by allowing them to contribute hash power to secure Core, without interfering with Bitcoin's primary operations. Delegated Proof of Stake (DPoS): CORE token holders delegate their tokens to validators who handle block production and transaction validation, ensuring efficiency and decentralization. Non-Custodial Bitcoin Staking: Bitcoin holders can stake their BTC to participate in the network consensus, adding an extra layer of security while preserving ownership of their assets.
奖励机制与相应费用
Core incentivizes network participation through staking rewards, transaction fees, and governance opportunities. Incentive Mechanisms: Validator Rewards: Validators earn rewards from transaction fees and newly minted CORE tokens distributed through the blockchain's inflation policy, with payouts proportional to their delegated hash power and CORE stake. Staking Incentives: Both CORE and Bitcoin stakers receive rewards for contributing to network security and stability, encouraging broader participation across asset classes. Governance Participation: CORE token holders have voting rights, allowing them to influence protocol upgrades and network parameters, supporting decentralized decision-making. Applicable Fees: Transaction Fees: Users pay transaction fees in CORE tokens for executing transactions and smart contracts. These fees are distributed to validators as compensation for securing the network. Inflation Policy: A portion of validator rewards comes from newly minted CORE tokens, providing an additional incentive while maintaining a controlled inflation model.
信息披露时间段的开始日期
2024-06-08
信息披露时间段的结束日期
2025-06-08
能源报告
能源消耗
133871685.78522 (kWh/a)
可再生能源消耗
24.134702976 (%)
能源强度
0.05916 (kWh)
主要能源来源与评估体系
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
能源消耗来源与评估体系
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.
排放报告
DLT 温室气体排放范围一：可控排放
0.00000 (tCO2e/a)
DLT 温室气体排放范围二：外购排放
55154.60727 (tCO2e/a)
温室气体排放强度
0.02437 (kgCO2e)
主要温室气体来源与评估体系
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
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