FlexiDAO and Electricity Maps examine current EAC system limitations, propose an hourly residual mix methodology, and evaluate its impact on market-based Scope 2 accounting. Moving from annual to hourly data reveals discrepancies between claimed renewable energy consumption and actual generation patterns, resulting in a number of claimed annual certificates that cannot be matched on an hourly level.

Gain access to groundbreaking insights on sustainable procurement and hourly carbon accounting.

Discover a novel methodology for calculating an hourly residual mix in the AIB region, addressing the need for more precise data in renewable energy procurement. 

We delve into the limitations of the current EAC system, proposing an hourly residual mix calculation, and assess its impact on granular Scope 2 market-based accounting.

By shifting from annual to hourly granularity, we expose the gap between claimed renewable electricity consumption and actual generation patterns, questioning the viability of today’s annual claims. Replacing hourly grid emission factors with hourly residual mix emission factors increases market-based GHG inventories.

Join us in pioneering the way for granular accounting and collaboration in the sustainability and carbon accounting sector.

Some Key Insights include:

  • Limited data on cross-border EACs movement leads to a lack of clear oversight on how certificate trading aligns with actual flows of electricity.
  • An annual EAC system fails to reveal the mismatch between renewable electricity consumption claims and actual renewable generation.
  • An analysis of Scope 2 market-based accounting reveals higher carbon emissions with hourly residual mix than with hourly grid emission factors.

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September 27, 2023

Report - Granularity Matters: Filling the data gap for granular carbon accounting

FlexiDAO and Electricity Maps examine current EAC system limitations, propose an hourly residual mix methodology, and evaluate its impact on market-based Scope 2 accounting. Moving from annual to hourly data reveals discrepancies between claimed renewable energy consumption and actual generation patterns, resulting in a number of claimed annual certificates that cannot be matched on an hourly level.

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