Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings
Energy models play a crucial role in the domain of energy policy by serving as essential instruments for decision-making. However, a significant limitation of numerous bottom-up energy models (BUEMs) is their empirical design, which hinders their ability to effectively inform policy design. This stu...
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MDPI AG
2023-09-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/19/6765 |
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author | Marlene Ofelia Sanchez-Escobar Julieta Noguez Jose Martin Molina-Espinosa David Escobar-Castillejos Sergio Ruiz-Loza |
author_facet | Marlene Ofelia Sanchez-Escobar Julieta Noguez Jose Martin Molina-Espinosa David Escobar-Castillejos Sergio Ruiz-Loza |
author_sort | Marlene Ofelia Sanchez-Escobar |
collection | DOAJ |
description | Energy models play a crucial role in the domain of energy policy by serving as essential instruments for decision-making. However, a significant limitation of numerous bottom-up energy models (BUEMs) is their empirical design, which hinders their ability to effectively inform policy design. This study presents a structured framework that can be used to improve the effectiveness of behavior, understanding, and engagement measures in the development of BUEMs for enhancing energy end-use efficiency. The model selected for this case study was provided by the Mexican Commission for the Efficient Use of Energy (CONUEE), and it examines the impact of regulatory instruments on the residential sector and residential buildings. The benefits of the proposed framework were successfully demonstrated through a quantitative comparison of real energy models, using and without using the said framework, revealing the advantages of its use. The framework significantly decreases the time required for model generation in various aspects by 59.43%. The obtained results highlight the effectiveness of the framework, and it could enhance the existing knowledge in the sector. |
first_indexed | 2024-03-10T21:45:39Z |
format | Article |
id | doaj.art-5681a2939a414afebdd29282a52720a6 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T21:45:39Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-5681a2939a414afebdd29282a52720a62023-11-19T14:18:33ZengMDPI AGEnergies1996-10732023-09-011619676510.3390/en16196765Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and BuildingsMarlene Ofelia Sanchez-Escobar0Julieta Noguez1Jose Martin Molina-Espinosa2David Escobar-Castillejos3Sergio Ruiz-Loza4Tecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, MexicoTecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, MexicoTecnologico de Monterrey, Institute for the Future of Education, Monterrey 64849, MexicoUniversidad Panamericana, Facultad de Ingeniería, Augusto Rodin 498, Ciudad de Mexico 03920, MexicoTecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, MexicoEnergy models play a crucial role in the domain of energy policy by serving as essential instruments for decision-making. However, a significant limitation of numerous bottom-up energy models (BUEMs) is their empirical design, which hinders their ability to effectively inform policy design. This study presents a structured framework that can be used to improve the effectiveness of behavior, understanding, and engagement measures in the development of BUEMs for enhancing energy end-use efficiency. The model selected for this case study was provided by the Mexican Commission for the Efficient Use of Energy (CONUEE), and it examines the impact of regulatory instruments on the residential sector and residential buildings. The benefits of the proposed framework were successfully demonstrated through a quantitative comparison of real energy models, using and without using the said framework, revealing the advantages of its use. The framework significantly decreases the time required for model generation in various aspects by 59.43%. The obtained results highlight the effectiveness of the framework, and it could enhance the existing knowledge in the sector.https://www.mdpi.com/1996-1073/16/19/6765policy designresidential sectorenergy modelsefficiencyBUEM |
spellingShingle | Marlene Ofelia Sanchez-Escobar Julieta Noguez Jose Martin Molina-Espinosa David Escobar-Castillejos Sergio Ruiz-Loza Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings Energies policy design residential sector energy models efficiency BUEM |
title | Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings |
title_full | Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings |
title_fullStr | Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings |
title_full_unstemmed | Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings |
title_short | Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings |
title_sort | policy design for electricity efficiency a case study of bottom up energy modeling in the residential sector and buildings |
topic | policy design residential sector energy models efficiency BUEM |
url | https://www.mdpi.com/1996-1073/16/19/6765 |
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