* 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: 91980.00000 kWh/a | Uusiutuva energia:
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 | LUMIA |
| Consensus Mechanism | Lumia operates as a Layer-2 solution built on Polygon, utilizing a Proof of Stake (PoS) consensus mechanism tailored for scalability and efficiency. Validators on the network are selected through a pseudo-randomized process to ensure fair participation and security. Lumia also incorporates cryptographic techniques to batch transactions and validate them off-chain before submitting aggregated proofs to the Polygon mainnet for finalization. |
| Incentive Mechanisms and Applicable Fees | The incentive model in Lumia compensates validators for batching and verifying transactions. Users pay transaction fees on the Layer-2 network, which are typically lower than those on Layer 1 due to off-chain processing. Validators receive these fees as rewards for their services, ensuring network participation and security. The fee structure is designed to balance affordability for users with sufficient compensation for validators. |
| Beginning of the period | 2024-11-05 |
| End of the period | 2025-11-05 |
| Energy consumption | 91980.00000 (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. 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, polygon, 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. |
| 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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