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Electricity System and Market Impacts of Time-based Attribute Trading and 24/7 Carbon-free Electricity Procurement

Authors: Xu, Qingyu; Jenkins, Jesse D.;

Electricity System and Market Impacts of Time-based Attribute Trading and 24/7 Carbon-free Electricity Procurement

Abstract

The next frontier in clean energy procurement is efforts to match a buyer's electricity demand, hour-by-hour, 24/7, with carbon-free electricity generation from within the same electricity grid region as the buyer's operations. This is 24/7 carbon-free electricity (CFE) procurement. Enabling vibrant markets for 24/7 carbon-free electricity procurement will depend on the implementation of time-based energy attribute certificates, or T-EACs, a new, hourly approach for verifying clean energy matching and a critical tool to enable the most cost-effective procurement of 24/7 CFE by all participating customers. This is the first study to model T-EACs in a detailed electricity system optimization model and assess the impact and benefits of new markets for the exchange of T-EACs. We find that T-EACs trading can lower the cost of 24/7 CFE procurement, especially for buyers who face limited options for direct procurement from carbon-free generators, create hourly price signals that incentivize deployment of clean energy at the times when the grid is dirtiest, and could help buyers and generators of carbon-free electricity hedge the impacts of uncertain demand and generation forecasts. Additionally, the value of T-EACs trading increases as voluntary procurement goals approach 100% carbon-free electricity, which means T-EACs can help buyers meet the demand for ‘the last 10%’ of carbon-free generation needed to match their demand 24/7 at lower cost. The study was supported by a grant from Google Inc.

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Keywords

climate mitigation, ESG, energy systems modeling, electricity, procurement, macro-energy systems, 24/7 carbon-free electricity

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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