No COVID-19 Climate Silver Lining in the US Power Sector
Max Luke, Priyanshi Somani, Turner Cotterman, Dhruv Suri, Stephen J., Lee

TL;DR
This study critically assesses the actual impact of COVID-19 on U.S. power sector CO2 emissions, finding limited statistically significant reductions and minimal influence on coal plant retirements, indicating a quick return to pre-pandemic emission levels.
Contribution
The paper applies Gaussian process regression to evaluate the significance of COVID-19-related emissions reductions and examines the pandemic's impact on coal plant retirements in the U.S.
Findings
CO2 emissions reductions were only significant in April and May 2020.
Most coal power plants are not at immediate risk of retirement due to COVID-19.
U.S. power sector emissions are expected to return to pre-pandemic levels.
Abstract
Recent studies conclude that the global coronavirus (COVID-19) pandemic decreased power sector CO emissions globally and in the United States. In this paper, we analyze the statistical significance of CO2 emissions reductions in the U.S. power sector from March through December 2020. We use Gaussian process (GP) regression to assess whether CO2 emissions reductions would have occurred with reasonable probability in the absence of COVID-19 considering uncertainty due to factors unrelated to the pandemic and adjusting for weather, seasonality, and recent emissions trends. We find that monthly CO2 emissions reductions are only statistically significant in April and May 2020 considering hypothesis tests at 5% significance levels. Separately, we consider the potential impact of COVID-19 on coal-fired power plant retirements through 2022. We find that only a small percentage of U.S. coal…
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Taxonomy
TopicsCOVID-19 impact on air quality · Air Quality Monitoring and Forecasting · Energy Load and Power Forecasting
MethodsGaussian Process
