Polkadot (DOT) sustainability report
| Name | BlockNodes SAS |
| Relevant legal entity identifier | 969500PZJWT3TD1SUI59 |
| Name of the crypto-asset | Polkadot |
| Beginning of the period to which the disclosure relates | 2025-07-26 |
| End of the period to which the disclosure relates | 2026-07-26 |
| Energy consumption | 1002891.86250 kWh/a |
| Renewable energy consumption | 39.0267442860 % |
| Energy intensity | 0.00004 kWh |
| Scope 1 DLT GHG emission - Controlled | 0.00000 tCO2e |
| Scope 2 DLT GHG emission - Purchased | 186.14368 tCO2e |
| GHG intensity | 0.00001 kgCO2e |
Consensus Mechanism
Polkadot is present on the following networks: Polkadot.
The Polkadot blockchain network operates on a sophisticated consensus mechanism known as Nominated Proof-of-Stake (NPoS), designed to facilitate a heterogeneous multi-chain framework. This mechanism uniquely combines elements of traditional Proof-of-Stake with a layered consensus model, ensuring high levels of security, decentralization, and scalability across its ecosystem. At its core, NPoS involves several distinct roles: Validators, Nominators, Collators, and Fishermen. Validators are pivotal; they stake DOT tokens, are responsible for producing new blocks on the Polkadot Relay Chain—the central chain that connects all parachains—and are crucial for finalizing these blocks. Nominators, on the other hand, play a supportive yet critical role by delegating their stake to trusted validators, thereby signaling their confidence and contributing to the network's security without directly running a node. They share in the rewards and penalties associated with the validators they support.
The consensus process within Polkadot is orchestrated through two primary protocols: BABE (Blind Assignment for Blockchain Extension) and GRANDPA (GHOST-based Recursive Ancestor Deriving Prefix Agreement). BABE is the block production mechanism, functioning akin to a lottery system where validators are pseudo-randomly assigned slots to propose new blocks based on their stake. Once a validator is selected, they sign and propagate their block across the network. Complementing BABE, GRANDPA serves as the finality gadget. Unlike conventional blockchains where finality is achieved after numerous block confirmations, GRANDPA enables asynchronous finality. Validators vote on chains, and a supermajority agreement (more than two-thirds) leads to instant finality of a block, making it irreversible and a permanent part of the canonical chain. This dual-protocol approach ensures both rapid block generation and robust, deterministic finality.
Furthermore, the Polkadot network supports parachains—individual, application-specific blockchains that connect to and benefit from the Relay Chain’s shared security. Collators are essential for these parachains, collecting transactions from users and generating state transition proofs that validators on the Relay Chain then verify. Moonbeam, Acala, Astar, Hydration, Moonriver, and Nodle are examples of parachains that either directly inherit Polkadot's consensus or utilize a Delegated Proof of Stake (DPoS) model integrated with Polkadot's shared security and GRANDPA finality. Fishermen act as network guardians, reporting any malicious activities to validators, thus reinforcing the network's integrity. This multi-faceted consensus architecture allows Polkadot to securely coordinate a diverse ecosystem of interconnected blockchains.
Incentive Mechanisms and Applicable Fees
Polkadot is present on the following networks: Polkadot.
The Polkadot network, along with its interconnected parachains, employs a robust system of incentive mechanisms and fees designed to ensure network security, encourage participation, and maintain operational efficiency. At the core of Polkadot’s Nominated Proof-of-Stake (NPoS) model, validators are incentivized through staking rewards, which are distributed based on their stake amount and performance in producing new blocks and finalizing the Relay Chain. These validators can also set a commission rate on the rewards earned by their nominators, encouraging high performance to attract more delegation. Nominators, who delegate their tokens to trusted validators, receive a share of these rewards, thereby incentivizing them to carefully select reliable network participants. Both validators and nominators face economic penalties, such as slashing, where a portion of their staked tokens is forfeited for malicious behavior or prolonged offline periods, reinforced by an unbonding period to ensure continuous security.
For parachains, which are individual blockchains connected to Polkadot, similar incentive structures apply. Collators, responsible for maintaining parachains by collecting transactions and producing state transition proofs, are rewarded for their crucial role in keeping these chains operational and secure. Examples like Moonbeam and Moonriver see collators earning newly minted tokens and a portion of transaction fees, while delegators share in these rewards by supporting collator candidates. Fishermen act as network guardians, reporting any malicious activities to validators, thus reinforcing the network's integrity. Many parachains, including Astar and Acala, utilize their native tokens for staking and governance, allowing token holders to participate in network security and decision-making for further rewards.
Regarding fees, Polkadot itself features dynamic transaction fees that adjust based on network demand and transaction complexity, ensuring fairness. A unique aspect is the burning of a portion of transaction fees, which helps manage token inflation. Fees are also incurred for smart contract deployment and interaction, directly correlated with the computational resources required. A significant fee mechanism is the parachain slot auction, where projects bid DOT tokens to secure a slot on the Relay Chain for a specified period, guaranteeing valuable network resources for committed projects. Parachains like Kusama and Astar also have transaction fees (often dynamic), smart contract execution fees, cross-chain fees, and even storage fees or governance fees for proposals, all typically paid in their respective native tokens, ensuring a sustainable and economically sound ecosystem.
Energy consumption sources and methodologies
Polkadot is present on the following networks: Polkadot.
The methodology employed for calculating the energy consumption of the Polkadot blockchain network, including its interconnected parachains, adheres to a "bottom-up" approach. This comprehensive strategy considers the operational nodes as the primary determinant of the network's overall energy footprint. The underlying assumptions for these calculations are derived from extensive empirical findings, gathered through a combination of public information sources, open-source crawlers, and proprietary in-house crawlers. A key focus is on accurately estimating the hardware utilized across the network, with the main determinants being the specific requirements for running the client software. The energy consumption profiles of these hardware devices are precisely measured in certified test laboratories, ensuring a high degree of accuracy in the base data.
To comprehensively account for all relevant implementations of assets within the Polkadot ecosystem, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is utilized, where available. This allows for the identification and inclusion of all relevant components, with mappings regularly updated based on data from the Digital Token Identifier Foundation. The information concerning the specific hardware deployed and the total number of participants in the network is built upon assumptions that are diligently verified through best-effort empirical data. A general principle is the assumption of economically rational behavior among participants. Furthermore, a precautionary principle is consistently applied, leading to conservative estimates—meaning higher impact figures are assumed in cases of doubt—to ensure that potential adverse environmental effects are not underestimated.
A critical aspect of Polkadot's energy accounting, particularly for its parachains like Moonbeam, Acala, Astar, and Moonriver, is the recognition that network security and functionality are often shared. Consequently, the calculation for a parachain's energy consumption not only includes its own operational energy but also a proportion of the energy consumed by its connected network, primarily the Polkadot Relay Chain or Kusama, which provides shared security. This proportion is meticulously determined based on gas consumption, reflecting the direct contribution to security. This integrated approach ensures a more holistic and accurate representation of the energy demands across the entire Polkadot multi-chain framework.
Key energy sources and methodologies
Polkadot is present on the following networks: Polkadot.
To ascertain the key energy sources and, more specifically, the proportion of renewable energy utilized within the Polkadot network, a detailed methodology is employed that focuses on the geographic distribution of its operational nodes. The initial step involves identifying the precise locations of these nodes. This is achieved through a combination of publicly available information, alongside data gathered from both open-source and proprietary in-house crawlers, allowing for a comprehensive mapping of the network's physical infrastructure. In instances where specific geographic information for nodes may not be readily available, the methodology resorts to using reference networks. These reference networks are carefully selected based on their comparability in terms of incentivization structures and consensus mechanisms to the Polkadot ecosystem, ensuring that the inferred data remains relevant and representative.
Once the geographical distribution of the nodes is established, this geo-information is integrated with extensive public data from reputable sources such as Our World in Data. This integration leverages detailed energy generation statistics from entities like Ember and the Energy Institute’s Statistical Review of World Energy. This crucial step enables the assessment of the energy mix at the locations where Polkadot's nodes operate, thus providing insight into the renewable energy component of its consumption. The overall energy intensity of the network is then calculated, expressed as the marginal energy cost associated with processing one additional transaction. This metric offers a standardized way to measure the energy efficiency of the network's operations. For further reference on renewable energy generation data, the following source is utilized: Share of electricity generated by renewables – Ember and Energy Institute. This methodology ensures a transparent and data-driven approach to understanding the energy profile of the Polkadot network.
Key GHG sources and methodologies
Polkadot is present on the following networks: Polkadot.
The methodology for determining the key Greenhouse Gas (GHG) emissions associated with the Polkadot network is intrinsically linked to understanding its energy consumption patterns and the geographical distribution of its operational infrastructure. To precisely calculate these emissions, the initial step mirrors that for energy sources: identifying the locations of the network's nodes. This crucial geographical data is obtained through a combination of publicly accessible information, supplemented by insights derived from both open-source and specialized in-house crawlers. This approach ensures a thorough mapping of where the network’s computational power resides. In scenarios where direct geographical information for node locations is not available, the methodology strategically incorporates data from reference networks. These alternative networks are carefully chosen based on their structural similarities in terms of incentivization frameworks and consensus mechanisms, providing a reliable proxy for emission estimations.
The gathered geo-information is then meticulously integrated with comprehensive public data sets provided by Our World in Data. This integration specifically utilizes information on the "Carbon intensity of electricity generation" from sources such as Ember and the Energy Institute's Statistical Review of World Energy. By correlating the operational locations of Polkadot's nodes with regional carbon intensity data, the methodology can accurately estimate the Scope 2 GHG emissions, which pertain to emissions from purchased electricity. The overall GHG intensity of the network is quantified as the marginal emission rate attributed to the processing of one additional transaction. This metric allows for an assessment of the environmental impact per unit of network activity. For detailed data on carbon intensity, the following resource is referenced: Carbon intensity of electricity generation – Ember and Energy Institute. This rigorous methodology ensures that the assessment of Polkadot's GHG footprint is both robust and transparent.