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Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings

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  • Marlene Ofelia Sanchez-Escobar

    (Tecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, Mexico)

  • Julieta Noguez

    (Tecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, Mexico)

  • Jose Martin Molina-Espinosa

    (Tecnologico de Monterrey, Institute for the Future of Education, Monterrey 64849, Mexico)

  • David Escobar-Castillejos

    (Universidad Panamericana, Facultad de Ingeniería, Augusto Rodin 498, Ciudad de Mexico 03920, Mexico)

  • Sergio Ruiz-Loza

    (Tecnologico de Monterrey, School of Engineering and Science, Ciudad de Mexico 14380, Mexico)

Abstract

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.

Suggested Citation

  • Marlene Ofelia Sanchez-Escobar & Julieta Noguez & Jose Martin Molina-Espinosa & David Escobar-Castillejos & Sergio Ruiz-Loza, 2023. "Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modeling in the Residential Sector and Buildings," Energies, MDPI, vol. 16(19), pages 1-39, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:19:p:6765-:d:1245530
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    References listed on IDEAS

    as
    1. Mohseni, Amin & Mortazavi, Seyed Saeidollah & Ghasemi, Ahmad & Nahavandi, Ali & Talaei abdi, Masoud, 2017. "The application of household appliances' flexibility by set of sequential uninterruptible energy phases model in the day-ahead planning of a residential microgrid," Energy, Elsevier, vol. 139(C), pages 315-328.
    2. Pradhan, Bijay B. & Limmeechokchai, Bundit & Shrestha, Ram M., 2019. "Implications of biogas and electric cooking technologies in residential sector in Nepal – A long term perspective using AIM/Enduse model," Renewable Energy, Elsevier, vol. 143(C), pages 377-389.
    3. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    4. Levine, Mark D. & Koomey, Jonathan G. & Price, Lynn & Geller, Howard & Nadel, Steven, 1995. "Electricity end-use efficiency: Experience with technologies, markets, and policies throughout the world," Energy, Elsevier, vol. 20(1), pages 37-61.
    5. Radpour, Saeidreza & Hossain Mondal, Md Alam & Kumar, Amit, 2017. "Market penetration modeling of high energy efficiency appliances in the residential sector," Energy, Elsevier, vol. 134(C), pages 951-961.
    6. Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
    7. Meangbua, Onicha & Dhakal, Shobhakar & Kuwornu, John K.M., 2019. "Factors influencing energy requirements and CO2 emissions of households in Thailand: A panel data analysis," Energy Policy, Elsevier, vol. 129(C), pages 521-531.
    8. Abbasabadi, Narjes & Ashayeri, Mehdi & Azari, Rahman & Stephens, Brent & Heidarinejad, Mohammad, 2019. "An integrated data-driven framework for urban energy use modeling (UEUM)," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Lundgren, Berndt & Schultzberg, Mårten, 2019. "Application of the economic theory of self-control to model energy conservation behavioral change in households," Working Paper Series 19/1, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    10. Ren, Zhengen & Grozev, George & Higgins, Andrew, 2016. "Modelling impact of PV battery systems on energy consumption and bill savings of Australian houses under alternative tariff structures," Renewable Energy, Elsevier, vol. 89(C), pages 317-330.
    11. Lundgren, Berndt & Schultzberg, Mårten, 2019. "Application of the economic theory of self-control to model energy conservation behavioral change in households," Energy, Elsevier, vol. 183(C), pages 536-546.
    12. Krarti, Moncef & Aldubyan, Mohammad & Williams, Eric, 2020. "Residential building stock model for evaluating energy retrofit programs in Saudi Arabia," Energy, Elsevier, vol. 195(C).
    13. Andrew Chapman & Benjamin McLellan & Tetsuo Tezuka, 2016. "Strengthening the Energy Policy Making Process and Sustainability Outcomes in the OECD through Policy Design," Administrative Sciences, MDPI, vol. 6(3), pages 1-16, July.
    14. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    15. Taylor, Peter G. & d'Ortigue, Olivier Lavagne & Francoeur, Michel & Trudeau, Nathalie, 2010. "Final energy use in IEA countries: The role of energy efficiency," Energy Policy, Elsevier, vol. 38(11), pages 6463-6474, November.
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