Designing Retirement Strategies for Coal-Fired Power Plants To Mitigate Air Pollution and Health Impacts

Retiring coal power plants can reduce air pollution and health damages. However, the spatial distribution of those impacts remains unclear due to complex power system operations and pollution chemistry and transport. Focusing on coal retirements in Pennsylvania (PA), we analyze six counterfactual scenarios for 2019 that differ in retirement targets (e.g., reducing 50% of coal-based installed capacity vs generation) and priorities (e.g., closing plants with higher cost, closer to Environmental Justice Areas, or with higher CO<sub>2</sub> emissions). Using a power system model of the PJM Interconnection, we find that coal retirements in PA shift power generation across PA and Rest of PJM, leading to scenario-varying changes in the plant-level release of air pollutants. Considering pollution transport and the size of the exposed population, these emissions changes, in turn, give rise to a reduction of 6-136 PM<sub>2.5</sub>-attributable deaths in PJM across the six scenarios, with most reductions occurring in PA. Among our designed scenarios, those that reduce more coal power generation yield greater aggregate health benefits due to air quality improvements in PA and adjacent downwind regions. In addition, comparing across the six scenarios evaluated in this study, vulnerable populations─in both PA and Rest of PJM─benefit most in scenarios that prioritize plant closures near Environmental Justice Areas in PA. These results demonstrate the importance of considering cross-regional linkages and sociodemographics in designing equitable retirement strategies.

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Publication Details

Journal
Environmental Science & Technology
Published
2024-08-19
DOI
https://doi.org/10.1021/acs.est.4c00704
Citations
5
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.57

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article

Designing Retirement Strategies for Coal-Fired Power Plants To Mitigate Air Pollution and Health Impacts

An Pham, Wei Peng, Emily L. Pakhtigian, Hannah Jacobs Wiseman et al.
5 citations
Environmental Science & Technology
Air Quality and Health Impacts
1.57
article

Designing Retirement Strategies for Coal-Fired Power Plants To Mitigate Air Pollution and Health Impacts

An Pham, Wei Peng, Emily L. Pakhtigian, Hannah Jacobs Wiseman, Carla Campos Morales, Joel R. Landry
article en
5 citations

Abstract

Retiring coal power plants can reduce air pollution and health damages. However, the spatial distribution of those impacts remains unclear due to complex power system operations and pollution chemistry and transport. Focusing on coal retirements in Pennsylvania (PA), we analyze six counterfactual scenarios for 2019 that differ in retirement targets (e.g., reducing 50% of coal-based installed capacity vs generation) and priorities (e.g., closing plants with higher cost, closer to Environmental Justice Areas, or with higher CO<sub>2</sub> emissions). Using a power system model of the PJM Interconnection, we find that coal retirements in PA shift power generation across PA and Rest of PJM, leading to scenario-varying changes in the plant-level release of air pollutants. Considering pollution transport and the size of the exposed population, these emissions changes, in turn, give rise to a reduction of 6-136 PM<sub>2.5</sub>-attributable deaths in PJM across the six scenarios, with most reductions occurring in PA. Among our designed scenarios, those that reduce more coal power generation yield greater aggregate health benefits due to air quality improvements in PA and adjacent downwind regions. In addition, comparing across the six scenarios evaluated in this study, vulnerable populations─in both PA and Rest of PJM─benefit most in scenarios that prioritize plant closures near Environmental Justice Areas in PA. These results demonstrate the importance of considering cross-regional linkages and sociodemographics in designing equitable retirement strategies.

Environmental Science & TechnologyVol. 58(35)
Pennsylvania State University (US), Princeton University (US), University of Michigan (US)
Institutes of Energy and the Environment, Pennsylvania State University, Andlinger Center for Energy and the Environment, Princeton University
Openalex Percentile: Top 18%
Air Quality and Health Impacts
1.57
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