LAPSE:2023.18447
Published Article

LAPSE:2023.18447
The Contribution of Bottom-Up Energy Models to Support Policy Design of Electricity End-Use Efficiency for Residential Buildings and the Residential Sector: A Systematic Review
March 8, 2023
Abstract
Bottom-up energy models are considered essential tools to support policy design of electricity end-use efficiency. However, in the literature, no study analyzes their contribution to support policy design of electricity end-use efficiency, the modeling techniques used to build them, and the policy instruments supported by them. This systematic review fills that gap by identifying the current capability of bottom-up energy models to support specific policy instruments. In the research, we review 192 publications from January 2015 to June 2020 to finally select 20 for further examination. The articles are analyzed quantitatively in terms of techniques, model characteristics, and applied policies. The findings of the study reveal that: (1) bottom-up energy models contribute to the support of policy design of electricity end-use efficiency with the application of specific best practices (2) bottom-up energy models do not provide a portfolio of analytical methods which constraint their capability to support policy design (3) bottom-up energy models for residential buildings have limited policy support and (4) bottom-up energy models’ design reveals a lack of inclusion of key energy efficiency metrics to support decision-making. This study’s findings can help researchers and energy modelers address these limitations and create new models following best practices.
Bottom-up energy models are considered essential tools to support policy design of electricity end-use efficiency. However, in the literature, no study analyzes their contribution to support policy design of electricity end-use efficiency, the modeling techniques used to build them, and the policy instruments supported by them. This systematic review fills that gap by identifying the current capability of bottom-up energy models to support specific policy instruments. In the research, we review 192 publications from January 2015 to June 2020 to finally select 20 for further examination. The articles are analyzed quantitatively in terms of techniques, model characteristics, and applied policies. The findings of the study reveal that: (1) bottom-up energy models contribute to the support of policy design of electricity end-use efficiency with the application of specific best practices (2) bottom-up energy models do not provide a portfolio of analytical methods which constraint their capability to support policy design (3) bottom-up energy models for residential buildings have limited policy support and (4) bottom-up energy models’ design reveals a lack of inclusion of key energy efficiency metrics to support decision-making. This study’s findings can help researchers and energy modelers address these limitations and create new models following best practices.
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Keywords
data-driven approach, electricity efficiency, energy modelling, energy policy, households, residential buildings
Subject
Suggested Citation
Sanchez-Escobar MO, Noguez J, Molina-Espinosa JM, Lozano-Espinosa R, Vargas-Solar G. The Contribution of Bottom-Up Energy Models to Support Policy Design of Electricity End-Use Efficiency for Residential Buildings and the Residential Sector: A Systematic Review. (2023). LAPSE:2023.18447
Author Affiliations
Sanchez-Escobar MO: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Noguez J: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Molina-Espinosa JM: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Lozano-Espinosa R: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Vargas-Solar G: LIRIS UMR5205, CNRS, 69621 Villeurbanne, France [ORCID]
Noguez J: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Molina-Espinosa JM: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Lozano-Espinosa R: Tecnologico de Monterrey, School of Engineering and Science, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico [ORCID]
Vargas-Solar G: LIRIS UMR5205, CNRS, 69621 Villeurbanne, France [ORCID]
Journal Name
Energies
Volume
14
Issue
20
First Page
6466
Year
2021
Publication Date
2021-10-10
ISSN
1996-1073
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Original Submission
Other Meta
PII: en14206466, Publication Type: Review
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LAPSE:2023.18447
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https://doi.org/10.3390/en14206466
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