* Ei reaaliaikaiset tiedot.
* Mikään Euroopan unionin jäsenvaltion toimivaltainen viranomainen ei ole hyväksynyt tätä kryptovaran kuvausta. Kryptovaran tarjoaja on yksin vastuussa tämän kryptovaran kuvauksen sisällöstä.
Energiankulutus: 210680359.57894 kWh/a | Uusiutuva energia: 24.134702973
ESG (Environmental, Social, and Governance) regulations for crypto assets aim to address their environmental impact (e.g., energy-intensive mining), promote transparency, and ensure ethical governance practices to align the crypto industry with broader sustainability and societal goals. These regulations encourage compliance with standards that mitigate risks and foster trust in digital assets.
| Name | Coinmotion Oy |
| Relevant legal entity identifier | 743700PZG5RRF7SA4Q58 |
| Name of the crypto-asset | DigiByte |
| Consensus Mechanism | DigiByte is present on the following networks: Digibyte, Tron. DigiByte employs a multi-algorithm Proof of Work (PoW) consensus model with five separate hashing algorithms, offering greater security and decentralization than single-algorithm blockchains. These five algorithms are SHA-256, Scrypt, Qubit, Skein, and Groestl. Core Components of DigiByte’s Consensus: 1. Multi-Algorithm Design: a. The use of five distinct PoW algorithms allows a diverse range of miners with various types of hardware (ASICs, GPUs, FPGAs) to participate in securing the network. b. By spreading mining power across multiple algorithms, DigiByte minimizes the risk of any single mining group controlling the network. This multi-algorithm approach protects against 51% attacks by making it more difficult for a malicious actor to control a majority of the network’s hash power. 2. Real-Time Difficulty Adjustment: a. DigiByte uses Dynamic Difficulty Adjustment for each algorithm individually. This means that the difficulty level for each algorithm can adjust in real-time based on network conditions and hashing power. b. The system prevents any single algorithm from producing blocks faster than others, ensuring even distribution of block production across all algorithms and preventing sudden spikes in mining difficulty. 3. Segregated Chain for Security: a. DigiByte implements a unique multi-layered blockchain structure that segments the blockchain to allow faster validation and improved security. b. The use of separate algorithms in a layered approach reduces the chance of a blockchain split or double-spend attacks and increases the blockchain’s scalability. The Tron blockchain operates on a Delegated Proof of Stake (DPoS) consensus mechanism, designed to improve scalability, transaction speed, and energy efficiency. Here's a breakdown of how it works: 1. Delegated Proof of Stake (DPoS): Tron uses DPoS, where token holders vote for a group of delegates known as Super Representatives (SRs)who are responsible for validating transactions and producing new blocks on the network. Token holders can vote for SRs based on their stake in the Tron network, and the top 27 SRs (or more, depending on the protocol version) are selected to participate in the block production process. SRs take turns producing blocks, which are added to the blockchain. This is done on a rotational basis to ensure decentralization and prevent control by a small group of validators. 2. Block Production: The Super Representatives generate new blocks and confirm transactions. The Tron blockchain achieves block finality quickly, with block production occurring every 3 seconds, making it highly efficient and capable of processing thousands of transactions per second. 3. Voting and Governance: Tron’s DPoS system also allows token holders to vote on important network decisions, such as protocol upgrades and changes to the system’s parameters. Voting power is proportional to the amount of TRX (Tron’s native token) that a user holds and chooses to stake. This provides a governance system where the community can actively participate in decision-making. 4. Super Representatives: The Super Representatives play a crucial role in maintaining the security and stability of the Tron blockchain. They are responsible for validating transactions, proposing new blocks, and ensuring the overall functionality of the network. Super Representatives are incentivized with block rewards (newly minted TRX tokens) and transaction feesfor their work. |
| Incentive Mechanisms and Applicable Fees | DigiByte is present on the following networks: Digibyte, Tron. DigiByte incentivizes network participation and security through block rewards, transaction fees, and a deflationary schedule for block rewards. Incentive Mechanisms: 1. Block Rewards for Miners: a. Miners receive newly minted DGB tokens for successfully mining blocks. This block reward encourages miners to contribute computing power to secure the network and validate transactions. b. DigiByte’s block rewards follow a deflationary schedule, decreasing over time, which promotes long-term value by controlling the rate of token issuance. 2. Transaction Fees: a. Users pay transaction fees in DGB tokens for network activities. These fees are distributed to miners, providing them with an ongoing income source and incentivizing efficient transaction processing. 3. Real-Time Difficulty Adjustment: a. Difficulty adjustments are calculated based on the hashing power of each algorithm, ensuring fair distribution of rewards and reducing the risk of a single mining pool or participant dominating the network’s hashing power. Applicable Fees: Transaction fees on DigiByte are calculated based on network demand, with miners prioritizing transactions with higher fees during congested periods. The larger block size reduces overall fees, supporting affordability for users. The Tron blockchain uses a Delegated Proof of Stake (DPoS) consensus mechanism to secure its network and incentivize participation. Here's how the incentive mechanism and applicable fees work: Incentive Mechanism: 1. Super Representatives (SRs) Rewards: Block Rewards: Super Representatives (SRs), who are elected by TRX holders, are rewarded for producing blocks. Each block they produce comes with a block reward in the form of TRX tokens. Transaction Fees: In addition to block rewards, SRs receive transaction fees for validating transactions and including them in blocks. This ensures they are incentivized to process transactions efficiently. 2. Voting and Delegation: TRX Staking: TRX holders can stake their tokens and vote for Super Representatives (SRs). When TRX holders vote, they delegate their voting power to SRs, which allows SRs to earn rewards in the form of newly minted TRX tokens. Delegator Rewards: Token holders who delegate their votes to an SR can also receive a share of the rewards. This means delegators share in the block rewards and transaction fees that the SR earns. Incentivizing Participation: The more tokens a user stakes, the more voting power they have, which encourages participation in governance and network security. 3. Incentive for SRs: SRs are also incentivized to maintain the health and performance of the network. Their reputation and continued election depend on their ability to produce blocks consistently and efficiently process transactions. Applicable Fees: 1. Transaction Fees: Fee Calculation: Users must pay transaction fees to have their transactions processed. The transaction fee varies based on the complexity of the transaction and the network's current demand. This is paid in TRX tokens. Transaction Fee Distribution: Transaction fees are distributed to Super Representatives (SRs), giving them an ongoing income to maintain and support the network. 2. Storage Fees: Tron charges storage fees for data storage on the blockchain. This includes storing smart contracts, tokens, and other data on the network. Users are required to pay these fees in TRX tokens to store data. 3. Energy and Bandwidth: Energy: Tron uses a resource model that allows users to access network resources like bandwidth and energy through staking. Users who stake their TRX tokens receive "energy," which is required to execute transactions and interact with smart contracts. Bandwidth: Each user is allocated a certain amount of bandwidth based on their TRX holdings. If users exceed their allotted bandwidth, they can pay for additional bandwidth in TRX tokens. |
| Beginning of the period | 2024-06-09 |
| End of the period | 2025-06-09 |
| Energy consumption | 210680359.57894 (kWh/a) |
| Energy consumption resources 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: multiple. 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. To determine the energy consumption of a token, the energy consumption of the network(s) tron 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. |
| Renewable energy consumption | 24.134702973 |
| Energy intensity | 3.82712 (kWh) |
| Scope 1 DLT GHG emissions - Controlled | 0.00000 (tCO2e/a) |
| Scope 2 DLT GHG emissions - Purchased | 86799.47833 (tCO2e/a) |
| GHG intensity | 1.57676 (kgCO2e) |
| 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 |
| 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 |
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