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Title: Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice

Journal Article · · Applied Energy

This paper presents a quantitative framework to support policy decision-making around equitable energy interventions. By combining sociodemographic and techno-economic models in the energy space, we propose a linear programming model to calculate the optimal portfolio of energy investments that explicitly minimizes the energy burden of a given population of energy insecure households. The model is formulated as a multi-objective optimization suitable to support the decisions on weatherization and deployment of distributed energy resources. We illustrate our methodology with a case study involving a population of 14,043 energy insecure households in Wayne County, Detroit, United States.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Economic Impact and Diversity (ED); USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231; AC36-08GO28308
OSTI ID:
1884805
Report Number(s):
NREL/JA-7A40-83854; MainId:84627; UUID:a3f6f17b-630b-41cd-84ee-f41947824fb4; MainAdminID:65241
Journal Information:
Applied Energy, Journal Name: Applied Energy Vol. 325; ISSN 0306-2619
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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