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 Ltd |
| Relevant legal entity identifier |
2135881-0 |
| Name of the crypto-asset |
kaia |
| Consensus Mechanism |
Kaia employs an optimized version of the Istanbul Byzantine Fault Tolerance (IBFT) consensus mechanism, which is a variant of Practical Byzantine Fault Tolerance (PBFT). The process involves the election of a proposer and a committee using a Verifiable Random Function (VRF), followed by block generation by the proposer and subsequent verification and signing by the committee members. |
| Incentive Mechanisms and Applicable Fees |
Kaia's token economy is designed to create sustainable funding structures for empowering its ecosystem, growth initiatives, and strategic investments. With every new block, newly issued KAIA tokens and the sum of transaction fees used in the block. Transaction fees on the Kaia network are determined by a dynamic gas fee model, which adjusts fees based on network congestion to maintain low costs and protect against spam attacks. A portion of these fees is automatically burned to control token supply and support the token's value. |
| Beginning of the period |
2025-07-27 |
| End of the period |
2026-07-27 |
| Energy consumption |
52560.00000 (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 |
0% |
| Energy intensity |
0 (kWh) |
| Scope 1 DLT GHG emissions - Controlled |
0 (tCO2e/a) |
| Scope 2 DLT GHG emissions - Purchased |
0 (tCO2e/a) |
| GHG intensity |
0 (kgCO2e) |
| Key energy sources and methodologies |
|
| Key GHG sources and methodologies |
|