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Le normative ESG (Ambientali, Sociali e di Governance) per gli asset crittografici mirano a affrontare il loro impatto ambientale (ad esempio, il mining ad alta intensità energetica), promuovere la trasparenza e garantire pratiche di governance etica per allineare l'industria delle criptovalute con obiettivi più ampi di sostenibilità e società. Queste normative incoraggiano il rispetto degli standard che mitigano i rischi e promuovono la fiducia negli asset digitali.
| Nome | Bitpanda Asset Management GmbH, Bitpanda GmbH |
| Identificativo giuridico rilevante | 9845005X9B7N610K0093, 5493007WZ7IFULIL8G21 |
| Nome dell'asset crittografico | Conflux |
| Meccanismo di consenso | Conflux operates on a unique Tree-Graph consensus mechanism that combines Optimized Proof of Work (PoW) with Proof of Stake (PoS), allowing high transaction throughput, security, and scalability. Core Components of Conflux’s Consensus: 1. Tree-Graph Structure: Concurrent Block Production: Conflux’s Tree-Graph model enables blocks to be produced in parallel, rather than sequentially in a single chain. This structure significantly increases transaction throughput and efficiency compared to traditional blockchains. Hierarchy for Fork Reduction: Unlike typical PoW blockchains where forks are common, Conflux’s Tree-Graph organizes blocks hierarchically, allowing multiple chains to coexist without causing divergences. This minimizes the need for forks, ensuring stability and continuity in block production. 2. Optimized Proof of Work (PoW): Security and Decentralization: Conflux uses an optimized PoW model to maintain security and decentralization, offering similar security guarantees to traditional PoW systems but with enhanced efficiency, allowing high-performance block processing. 3. Proof of Stake (PoS) Integration: PoS for Finality: PoS nodes in Conflux are selected based on the amount of staked CFX (Conflux’s native token). These nodes sign pivot blocks to finalize them, reducing the probability of forks and ensuring rapid finality. Balance Between PoW and PoS: By combining PoW and PoS, Conflux achieves a balanced, secure consensus system that leverages PoW’s security while incorporating PoS for faster finality. |
| Meccanismi di incentivo e tariffe applicabili | Conflux incentivizes network participation and security through block rewards, transaction fees, and staking rewards, along with unique ecosystem support and storage fee structures. Incentive Mechanisms: 1. Block Rewards and Transaction Fees for Miners: Continuous Incentive for Miners: Miners receive CFX rewards not only for mining blocks but also for securing the network. These rewards, including transaction fees, create an ongoing incentive for miners to participate actively and uphold network stability. 2. Staking Rewards for PoS Nodes: Rewards for Finalization Participation: PoS nodes, responsible for signing and finalizing pivot blocks, earn staking rewards based on their staked CFX amount. This reward structure encourages reliable PoS participation, enhancing network security and finality. 3. Dynamic Gas Fee Model: Ethereum-Like Gas Model: Conflux uses a gas model similar to Ethereum’s, where fees are calculated based on the computational resources required (measured in gas) and the current gas price, which adjusts based on network demand. Dynamic Adjustment: During high network demand, gas fees increase to help manage congestion, while fees decrease in low-demand periods to promote network activity. 4. Ecosystem Fund Allocation: Supporting Long-Term Development: A portion of transaction fees is allocated to the Conflux ecosystem fund, which supports long-term network development, community initiatives, and ecosystem growth. This fund helps sustain the network and fosters innovation within the ecosystem. 5. Storage Fee Model: Reducing Blockchain Bloat: Conflux incorporates a storage fee to discourage unnecessary data storage on the blockchain. This model supports long-term sustainability by reducing blockchain bloat, helping to maintain efficient network performance over time. |
| Inizio del periodo | 2024-01-30 |
| Fine del periodo | 2025-01-30 |
| Consumo energetico | 1837140.73200 (kWh/a) |
| Risorse e metodologie di consumo energetico | The energy consumption of this asset is aggregated across multiple components: 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. To determine the energy consumption of a token, the energy consumption of the network(s) conflux is calculated first. Based on the crypto asset's gas consumption per network, the share of the total consumption of the respective network that is assigned to this asset is defined. 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. |
| Consumo di energia rinnovabile | 15.116111393 (%) |
| Intensità energetica | 0.00992 (kWh) |
| Emissioni di GHG DLT Scope 1 - Controllate | 0.00000 (tCO2e/a) |
| Emissioni di GHG DLT Scope 2 - Acquistate | 754.94600 (tCO2e/a) |
| Intensità dei GHG | 0.00409 (kgCO2e) |
| Principali fonti e metodologie energetiche | 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 the European Environment Agency (EEA) and thus determined. |
| Principali fonti e metodologie di GHG | 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 the European Environment Agency (EEA) and thus determined. |