Timelines for mitigating methane emissions from energy technologies
Mandira Roy, Morgan R. Edwards, Jessika E. Trancik

TL;DR
This paper develops a portfolio optimization model that considers the dynamic climate impacts of methane and carbon dioxide emissions, providing insights into optimal technology switching timelines for climate mitigation.
Contribution
It introduces a novel optimization framework that accounts for gas decay dynamics, improving upon static GWP metrics for evaluating energy technology portfolios.
Findings
Optimal switching strategies can increase energy use by up to 50%.
Model estimates timelines for methane mitigation based on climate targets.
Incorporating gas decay improves technology assessment accuracy.
Abstract
Energy technologies emitting differing proportions of methane and carbon dioxide vary in their relative climate impacts over time, due to the different atmospheric lifetimes of the two gases. Standard technology comparisons using the global warming potential (GWP) emissions equivalency metric do not reveal these dynamic impacts, and may not provide the information needed to assess technologies and emissions mitigation opportunities in the context of broader climate policy goals. Here we formulate a portfolio optimization model that incorporates changes in technology impacts as a radiative forcing (RF) stabilization target is approached. An optimal portfolio, maximizing allowed energy consumption while meeting the RF target, is obtained by year-wise minimization of the marginal RF impact in an intended stabilization year. The optimal portfolio calls for using certain higher…
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