* 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: 26280.00000 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 | Moonriver |
| Consensus Mechanism | Moonriver operates on a Proof of Stake (PoS) consensus mechanism, enhanced by Polkadot’s Nominated Proof of Stake (NPoS) model. This structure ensures secure, scalable, and decentralized transaction processing, leveraging the robust Substrate framework. Core Components: Nominated Proof of Stake (NPoS): Validators are selected through staking by token holders, known as nominators, who delegate their MOVR tokens to trusted validator nodes. Validators with higher stakes and nominations are chosen to validate blocks and secure the network. Collator Nodes: Moonriver employs collator nodes, responsible for aggregating transactions into blocks and submitting them to the Polkadot Relay Chain for final validation. Collators ensure fast block production while relying on Polkadot’s shared security. Byzantine Fault Tolerance (BFT): Moonriver integrates BFT properties to handle network disruptions and maintain consensus even if some validators act maliciously or become unavailable. Seamless Interoperability: As a parachain within the Polkadot ecosystem, Moonriver benefits from Polkadot’s cross-chain messaging protocols, enabling secure and efficient interoperability with other parachains and external blockchains. |
| Incentive Mechanisms and Applicable Fees | Moonriver’s incentive model ensures active participation from validators, nominators, and developers while maintaining network security and usability. Incentive Mechanisms: Staking Rewards: Validators and nominators earn MOVR tokens for securing the network and validating transactions. Collator Rewards: Collators, who propose blocks, are rewarded with MOVR tokens. Inflationary Rewards: New MOVR tokens are minted to fund staking and ecosystem development. Developer Incentives: A portion of rewards supports dApp development and ecosystem growth. Applicable Fees: Transaction Fees: Paid in MOVR for transfers and smart contract interactions, distributed to validators and collators. Gas Fees: Calculated based on transaction complexity, ensuring predictable costs. Fee Burning: A portion of fees is burned, reducing token supply over time to support value retention. |
| Beginning of the period | 2024-11-08 |
| End of the period | 2025-11-08 |
| Energy consumption | 26280.00000 (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, kusama, 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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