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MiCA indicators

The EU Markets in Crypto-Assets regulation (MiCA) requires token issuers and crypto-asset service providers to disclose sustainability data. This page publishes that data for Siacoin, calculated by the Crypto Carbon Ratings Institute (CCRI).
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Indicators

Most recent values from CCRI, for 2026.

Energy

Energy consumptionTotal amount of energy used, expressed in kilowatt-hours (kWh) per calendar year, for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions.
17,088,676 kWh
Renewable energy consumptionShare of energy used generated from renewable sources, expressed as a percentage of the total amount of energy used per calendar year, for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions.
32.91%
Energy intensityAverage amount of energy used, in kWh, per validated transaction.
0.000150 kWh

Greenhouse gas emissions

Scope 1 emissions, controlledScope 1 GHG emissions, expressed in tonnes (t) carbon dioxide equivalent (CO₂e) per calendar year for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions.
0 t
Scope 2 emissions, purchasedScope 2 GHG emissions, expressed in tCO₂e per calendar year for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions.
5,727.961 t
GHG intensityAverage GHG emissions (scope 1 and scope 2) per validated transaction, expressed in kilogram (kg) CO₂e per transaction (Tx).
0.000050 kg

Waste

Generation of waste electrical and electronic equipment (WEEE)Total amount of WEEE generated for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions, expressed in tonnes per calendar year.
0.76 t
Non-recycled WEEE ratioShare of the total amount of WEEE generated for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions, not recycled per calendar year, expressed as a percentage
55.83%
Generation of hazardous wasteTotal amount of hazardous waste generated for the validation of transactions and the maintenance of the integrity of the distributed ledger of transactions, expressed in tonnes per calendar year.
0.009000 t

Natural resources

Impact of the use of equipment on natural resourcesDescription of the impact on natural resources of the production, the use and the disposal of the devices of the DLT network nodes.
105,359 kl

Methodology

Energy consumption and carbon footprint

CCRI uses a standard techno-economic model for proof-of-work networks.Note 1 It runs the six steps below every day to estimate the energy consumption and carbon footprint of the Sia network. Sources for all input data are listed in the Currencies and Sources section of CCRI’s API documentation.

  1. Network data. CCRI runs a full node to collect base data such as circulating supply, hash rate and miner earnings.
  2. Mining devices. CCRI identifies mining devices that support Blake2b-Sia using AsicMinerValue, and collects their electricity efficiency and hash rate.
  3. Device profitability. CCRI works out which devices are profitable at the current mining reward and electricity price.Note 2
  4. Hardware basket. CCRI builds a weighted basket of profitable devices. A device’s weight depends on the time since its estimated deployment date.Note 3 A profitable device stays in the basket for at most five years. Its weight is 1 in the first year, 0.8 in the second and 0.6 in the third, falling to 0 after five years.
  5. Energy consumption. From the weighted basket, the electricity price and the network’s total hash rate, CCRI derives the energy consumption of the whole network.
  6. Carbon footprint. From the locations of nodes in the Sia network and grid-level emission factors, CCRI calculates the network’s carbon footprint.

MiCA sustainability indicators

CCRI calculates the energy and greenhouse gas indicators MiCA requires, and further sustainability metrics proposed in the context of the regulation. The full methods are in CCRI’s paper, Methodologies to calculate sustainability indicators for the EU Markets in Crypto-Assets (MiCA) regulation.

Notes

  1. The bottom-up model was first proposed in Christian Stoll, Lena Klaaßen and Ulrich Gallersdörfer, “The carbon footprint of bitcoin,” Joule 3.7 (2019): 1647–1661, and refined by the Cambridge Bitcoin Electricity Consumption Index. Back to text
  2. CCRI assumes a constant average electricity price of $0.05 per kWh for all proof-of-work networks. The Cambridge Bitcoin Electricity Consumption Index assumes the same price for Bitcoin, which uses SHA-256. Back to text
  3. A device’s deployment date is assumed to be two months after its release date, to allow for delivery. Back to text