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Gathrid, S.* ; Wayland, J.D. ; Wayland, S.* ; Deshmukh, R.* ; Wu, G.C.*

Strategies to accelerate US coal power phase-out using contextual retirement vulnerabilities.

Nat. Energy 10, 1274-1288 (2025)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Strategically planning the phase-out of coal power is critical to achieve climate targets, yet current approaches often fail to account for the context-specific barriers and vulnerabilities to retirement. Here we introduce a framework that combines graph theory and topological data analysis to classify the US coal fleet into eight distinct groups based on technical, economic, environmental and socio-political characteristics. We calculate each non-retiring coal plant’s ‘contextual retirement vulnerability’ score, a metric developed to quantify susceptibility to retirement drivers using the graph-based distance to a coal plant with an announced early retirement. Separately, we identify ‘retirement archetypes’ that explain the key factors driving announced retirements within each group, which are used to inform group-specific strategies for accelerating retirements. Our findings reveal the diverse strategies that are required to accelerate the phase-out of remaining coal plants, including regulatory compliance, public health campaigns and economic incentives.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Reeb Graphs; Emissions
ISSN (print) / ISBN 2058-7546
e-ISSN 2058-7546
Zeitschrift Nature Energy
Quellenangaben Band: 10, Heft: 10, Seiten: 1274-1288 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Heidelberger Platz 3, Berlin, 14197, Germany
Begutachtungsstatus Peer reviewed
Institut(e) Human-Centered AI (HCA)
Förderungen Manalis Scholarship