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Strategies to accelerate US coal power phase-out using contextual retirement vulnerabilities.
Nat. Energy 10, 1274-1288 (2025)
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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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Reeb Graphs; Emissions
Language
english
Publication Year
2025
HGF-reported in Year
2025
ISSN (print) / ISBN
2058-7546
e-ISSN
2058-7546
Journal
Nature Energy
Quellenangaben
Volume: 10,
Issue: 10,
Pages: 1274-1288
Publisher
Springer
Publishing Place
Heidelberger Platz 3, Berlin, 14197, Germany
Reviewing status
Peer reviewed
Institute(s)
Human-Centered AI (HCA)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-540003-001
Grants
Manalis Scholarship
WOS ID
001600463100017
Scopus ID
105019490458
Erfassungsdatum
2025-10-30