* Ej realtidsdata.
* Denna beskrivning av kryptotillgången har inte godkänts av någon behörig myndighet inom EU. Utgivaren av kryptotillgången är ensam ansvarig för innehållet i denna beskrivning av kryptotillgången.
Energiförbrukning: 199071.00000 kWh/a | Förnybar energi:
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 | Vana |
| Consensus Mechanism | Vana utilizes a unique consensus mechanism designed to ensure the secure and fair validation of data contributions. The network operates with two types of validators: L1 Validators, responsible for maintaining the blockchain's security using Proof of Stake, and Satya Validators, who validate data within DataDAOs using Trusted Execution Environments (TEEs). This dual-validator approach ensures that both the blockchain’s integrity and the accuracy of data are upheld. |
| Incentive Mechanisms and Applicable Fees | Vana’s incentive structure is designed to reward participants who contribute to securing the network and validating data. Validators, both L1 and Satya, earn VANA tokens as incentives for their active participation in maintaining the blockchain’s integrity and validating data contributions. Users can also participate by staking VANA tokens to earn rewards and further support the network. The fee structure is designed to be minimal and dynamic, with transaction fees and data validation fees being paid by users. |
| Beginning of the period | 2024-11-05 |
| End of the period | 2025-11-05 |
| Energy consumption | 199071.00000 (kWh/a) |
| Energy consumption resources 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. |
| Renewable energy consumption | |
| Energy intensity | (kWh) |
| Scope 1 DLT GHG emissions - Controlled | (tCO2e/a) |
| Scope 2 DLT GHG emissions - Purchased | (tCO2e/a) |
| GHG intensity | (kgCO2e) |
| Key energy sources and methodologies | |
| Key GHG sources and methodologies |
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