Regulated
Austria based and European regulated crypto & securities broker platform
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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 | Bitpanda Asset Management GmbH, Bitpanda GmbH |
Relevant legal entity identifier | 9845005X9B7N610K0093, 5493007WZ7IFULIL8G21 |
Name of the crypto-asset | Chia |
Consensus Mechanism | Chia employs a unique consensus mechanism called Proof of Space and Time (PoST), which emphasizes energy efficiency while maintaining a secure and decentralized network. Core Components: Proof of Space (PoS): Participants, called "farmers," allocate unused hard drive storage to create plots, which store cryptographic data. During block production, farmers compete to find a plot that satisfies a cryptographic challenge. Unlike traditional Proof of Work (PoW), this approach uses storage rather than computational power, significantly reducing energy consumption. Proof of Time (PoT): Time Lords, specialized nodes, verify the chronological order of blocks using Verifiable Delay Functions (VDFs). This ensures that blocks are added sequentially, enhancing the network's security and consistency. Decentralized Farming: The combination of PoS and PoT ensures that farming is decentralized and accessible, as it relies on widely available storage resources. |
Incentive Mechanisms and Applicable Fees | The Chia blockchain's incentive model rewards participants for contributing storage resources and maintaining the network's security while employing a transparent and predictable fee structure. Incentive Mechanism: Block Rewards: Farmers earn rewards in XCH (Chia tokens) by allocating storage to the network and successfully producing blocks. Block rewards decrease over time based on a predetermined schedule, fostering long-term token scarcity. Incentives for Time Lords: Time Lords, responsible for verifying the chronological order of blocks, ensure network integrity and security. While they do not receive direct rewards from the protocol, they are incentivized by their critical role in maintaining the blockchain's stability. Applicable Fees: Transaction Fees: Users pay fees in XCH for executing transactions on the Chia network. Transaction fees are awarded to farmers, creating an additional revenue stream for network participants. Fee Model: Transaction fees are dynamically determined based on network activity and transaction size, ensuring scalability and cost efficiency for users. |
Beginning of the period | 2024-09-09 |
End of the period | 2025-09-09 |
Energy consumption | 985500.00000 (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 | 32.225548601 (%) |
Energy intensity | 0.06429 (kWh) |
Scope 1 DLT GHG emissions - Controlled | 0.00000 (tCO2e/a) |
Scope 2 DLT GHG emissions - Purchased | 327.98728 (tCO2e/a) |
GHG intensity | 0.02140 (kgCO2e) |
Key energy sources and methodologies | 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 Our World in Data, see citation. The intensity is calculated as the marginal energy cost wrt. one more transaction. Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Share of electricity generated by renewables - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/share-electricity-renewables. |
Key GHG sources and methodologies | 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 Our World in Data, see citation. The intensity is calculated as the marginal emission wrt. one more transaction. Ember (2025); Energy Institute - Statistical Review of World Energy (2024) - with major processing by Our World in Data. “Carbon intensity of electricity generation - Ember and Energy Institute” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy” [original data]. Retrieved from https://ourworldindata.org/grapher/carbon-intensity-electricity Licenced under CC BY 4.0. |