Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice: Article No. 119771

Miguel Heleno; Benjamin Sigrin; Natalie Popovich; Jenny Heeter; Michael Reiner; Tony Reames

doi:10.1016/j.apenergy.2022.119771

Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice: Article No. 119771

Miguel Heleno, Benjamin Sigrin, Natalie Popovich, Jenny Heeter, Michael Reiner, Tony Reames

Accelerated Deployment and Decision Support

Research output: Contribution to journal › Article › peer-review

21 Scopus Citations

Abstract

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.

Original language	American English
Number of pages	11
Journal	Applied Energy
Volume	325
DOIs	https://doi.org/10.1016/j.apenergy.2022.119771
State	Published - 2022

NREL Publication Number

NREL/JA-7A40-83854

Keywords

DER deployment
energy burden
energy justice
equity
weatherization

Access to Document

10.1016/j.apenergy.2022.119771

https://www.nrel.gov/docs/fy22osti/83854.pdf

Cite this

@article{158916dca578424ca1d559c0ec9ef6f9,

title = "Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice: Article No. 119771",

abstract = "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.",

keywords = "DER deployment, energy burden, energy justice, equity, weatherization",

author = "Miguel Heleno and Benjamin Sigrin and Natalie Popovich and Jenny Heeter and Michael Reiner and Tony Reames",

year = "2022",

doi = "10.1016/j.apenergy.2022.119771",

language = "American English",

volume = "325",

journal = "Applied Energy",

issn = "0306-2619",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice

T2 - Article No. 119771

AU - Heleno, Miguel

AU - Sigrin, Benjamin

AU - Popovich, Natalie

AU - Heeter, Jenny

AU - Reiner, Michael

AU - Reames, Tony

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - DER deployment

KW - energy burden

KW - energy justice

KW - equity

KW - weatherization

U2 - 10.1016/j.apenergy.2022.119771

DO - 10.1016/j.apenergy.2022.119771

M3 - Article

SN - 0306-2619

VL - 325

JO - Applied Energy

JF - Applied Energy

ER -

Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice: Article No. 119771

Abstract

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this