* 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: 85935.60000 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 | Casper |
| Consensus Mechanism | Casper employs a unique Proof of Stake (PoS) consensus protocol known as the Highway Protocol, which enhances security, flexibility, and finality. Core Components of Casper’s Consensus: 1. Highway Protocol (PoS): Flexible Finality: The Highway protocol allows validators to reach consensus on blocks at varying levels of confidence, providing adaptable finality options based on security needs. This flexibility enables the network to accommodate different transaction requirements and ensure robust security. 2. Validator Selection and Continuous Validation: Selection Based on Staked CSPR: Validators are chosen based on the amount of CSPR tokens they stake. The higher the stake, the greater the chance of being selected to validate blocks. Continuous Block Finalization: Unlike traditional PoS networks with fixed epochs, Casper’s Highway protocol allows for continuous block finalization, increasing network efficiency and reducing wait times for transactions. 3. Fork Choice Rule: GHOST Rule: Casper uses the Greedy Heaviest Observed Subtree (GHOST) rule to select the main chain. This rule prioritizes the chain with the most cumulative stake, minimizing forks and improving chain stability. |
| Incentive Mechanisms and Applicable Fees | Casper’s incentive model supports validator and delegator participation through staking rewards, transaction fees, and a controlled inflation model to maintain network security and economic sustainability. Incentive Mechanisms: 1. Staking Rewards for Validators: CSPR Rewards for Validation: Validators earn CSPR token rewards for staking and actively participating in block validation. This financial incentive encourages validators to contribute to network security and reliability. 2. Transaction Fees: Fee Compensation for Validators: Users pay transaction fees in CSPR, which are distributed to validators. These fees provide additional compensation to validators, incentivizing efficient transaction processing. 3. Delegation Rewards for CSPR Holders: Broadening Participation through Delegation: CSPR holders who prefer not to run validator nodes can delegate their tokens to validators, earning a share of staking rewards. This broadens network participation and supports decentralized security. 4. Adaptive Inflation Model: Dynamic Adjustment of Token Supply: Casper’s inflation model adjusts staking rewards based on the total network stake. This adaptive approach helps balance token rewards with the network’s security needs, ensuring long-term economic sustainability. 5. Slashing Mechanism for Misbehavior: Penalties for Dishonesty: Validators who act dishonestly or fail to meet performance standards risk losing a portion of their staked CSPR. This slashing mechanism discourages misbehavior and ensures network reliability. Applicable Fees: • Transaction Fees in CSPR: Fees are paid in CSPR and distributed to validators, supporting their role in network maintenance and stability. |
| Beginning of the period | 2024-06-09 |
| End of the period | 2025-06-09 |
| Energy consumption | 85935.60000 (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. |
| 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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