Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice
Journal Article
·
· Applied Energy
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- US Department of Energy (USDOE), Washington DC (United States)
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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