IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v399y2025ics030626192501253x.html

A novel quantitative model for evaluating building energy resilience to maintain indoor thermal stability during peak power demand

Author

Listed:
  • Zhang, Weiyi
  • Yang, Haibin
  • Cao, Xiangpeng
  • Bao, Xiaohua
  • Cui, Hongzhi

Abstract

Extreme weather events like heat and cold waves often result in peak power demands, leading to power limitations or outages that severely disrupt indoor thermal environments. Enhancing building energy resilience is crucial to mitigating the impacts of these events. However, there is a lack of effective quantitative metrics for assessing how different active and passive measures affect building energy resilience. This study proposes a novel quantitative assessment model to evaluate the energy resilience of buildings retrofitted with different measures under scenarios of power outages caused by peak power demand. The results indicate that, in terms of cumulative building energy resilience during peak power demand, passive measures such as green roofs and natural ventilation enhance the resilience of top-floor rooms by 7.0 % and 10.6 %, respectively. When grid power is available, active measures, including ground source heat pumps and photovoltaic systems, improve resilience by 62.5 % and 17.3 %, respectively. The combined effect of all measures raises resilience by 33.5 %. The proposed assessment model lays a theoretical foundation for quantitatively evaluating building energy resilience under peak demand conditions.

Suggested Citation

  • Zhang, Weiyi & Yang, Haibin & Cao, Xiangpeng & Bao, Xiaohua & Cui, Hongzhi, 2025. "A novel quantitative model for evaluating building energy resilience to maintain indoor thermal stability during peak power demand," Applied Energy, Elsevier, vol. 399(C).
    • Handle: RePEc:eee:appene:v:399:y:2025:i:c:s030626192501253x
    DOI: 10.1016/j.apenergy.2025.126523
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192501253X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.126523?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Rosales-Asensio, Enrique & de Simón-Martín, Miguel & Borge-Diez, David & Blanes-Peiró, Jorge Juan & Colmenar-Santos, Antonio, 2019. "Microgrids with energy storage systems as a means to increase power resilience: An application to office buildings," Energy, Elsevier, vol. 172(C), pages 1005-1015.
    2. Zare Oskouei, Morteza & Mehrjerdi, Hasan & Babazadeh, Davood & Teimourzadeh Baboli, Payam & Becker, Christian & Palensky, Peter, 2022. "Resilience-oriented operation of power systems: Hierarchical partitioning-based approach," Applied Energy, Elsevier, vol. 312(C).
    3. Tang, Mingfang & Zheng, Xing, 2019. "Experimental study of the thermal performance of an extensive green roof on sunny summer days," Applied Energy, Elsevier, vol. 242(C), pages 1010-1021.
    4. Wang, Meng & Yu, Hang & Liu, Yupeng & Lin, Jianyi & Zhong, Xianzhun & Tang, Yin & Guo, Haijin & Jing, Rui, 2024. "Unlock city-scale energy saving and peak load shaving potential of green roofs by GIS-informed urban building energy modelling," Applied Energy, Elsevier, vol. 366(C).
    5. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    6. Yu, Min Gyung & Mukherjee, Monish & Poudel, Shiva & Bender, Sadie R. & Hanif, Sarmad & Hardy, Trevor D. & Reeve, Hayden M., 2024. "A valuation framework for customers impacted by extreme temperature-related outages," Applied Energy, Elsevier, vol. 368(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kuczyński, Tadeusz & Gortych, Marta & Staszczuk, Anna & Bocheńska-Skałecka, Anna, 2026. "Time-dependent performance of residential buildings under climate change: Thermal resilience, seasonal asymmetry and life-cycle carbon design consequences," Energy, Elsevier, vol. 347(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bakhshoodeh, Reza & Ocampo, Carlos & Oldham, Carolyn, 2022. "Thermal performance of green façades: Review and analysis of published data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    2. Yuanfan Zheng & Liang Chen & Haipeng Zhao, 2024. "Assessing Building Energy Savings and the Greenhouse Gas Mitigation Potential of Green Roofs in Shanghai Using a GIS-Based Approach," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    3. Ulaa AlHaddad & Abdullah Basuhail & Maher Khemakhem & Fathy Elbouraey Eassa & Kamal Jambi, 2023. "Towards Sustainable Energy Grids: A Machine Learning-Based Ensemble Methods Approach for Outages Estimation in Extreme Weather Events," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    4. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Coordination of vehicle-to-home and renewable capacity resources for energy management in resilience and self-healing building," Renewable Energy, Elsevier, vol. 146(C), pages 568-579.
    5. Zhou, Jingfeng & Fang, Zigeng & Yin, Ge & Chen, Jiying & Zhou, Xiaochi & Jing, Rui & Wang, Meng, 2025. "Automated roof segmentation for assessing urban scale energy performance and indoor thermal environment of photovoltaic and green roofs," Energy, Elsevier, vol. 338(C).
    6. S. Ananda Kumar & M. S. P. Subathra & Nallapaneni Manoj Kumar & Maria Malvoni & N. J. Sairamya & S. Thomas George & Easter S. Suviseshamuthu & Shauhrat S. Chopra, 2020. "A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network," Energies, MDPI, vol. 13(16), pages 1-22, August.
    7. Patrick Balducci & Kendall Mongird & Di Wu & Dexin Wang & Vanshika Fotedar & Robert Dahowski, 2020. "An Evaluation of the Economic and Resilience Benefits of a Microgrid in Northampton, Massachusetts," Energies, MDPI, vol. 13(18), pages 1-28, September.
    8. Younesi, Abdollah & Shayeghi, Hossein & Safari, Amin & Siano, Pierluigi, 2020. "Assessing the resilience of multi microgrid based widespread power systems against natural disasters using Monte Carlo Simulation," Energy, Elsevier, vol. 207(C).
    9. Hou, Hui & Tang, Junyi & Zhang, Zhiwei & Wang, Zhuo & Wei, Ruizeng & Wang, Lei & He, Huan & Wu, Xixiu, 2023. "Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming," Applied Energy, Elsevier, vol. 338(C).
    10. Wang, Yi & Rousis, Anastasios Oulis & Strbac, Goran, 2020. "On microgrids and resilience: A comprehensive review on modeling and operational strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    11. Tee, Wei Hown & Gan, Chin Kim & Sardi, Junainah, 2024. "Benefits of energy storage systems and its potential applications in Malaysia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    12. Moon, Sangkeun, 2025. "Adaptive distribution topology learning on distributed source energisation and islanding," Energy, Elsevier, vol. 320(C).
    13. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    14. Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    15. Malwina Michalik-Śnieżek & Kamila Adamczyk-Mucha & Rozalia Sowisz & Alicja Bieske-Matejak, 2024. "Green Roofs: Nature-Based Solution or Forced Substitute for Biologically Active Areas? A Case Study of Lublin City, Poland," Sustainability, MDPI, vol. 16(8), pages 1-17, April.
    16. Hervás-Zaragoza, Josep & Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Colmenar-Fernández, Lucía, 2022. "Microgrids as a mechanism for improving energy resilience during grid outages: A post COVID-19 case study for hospitals," Renewable Energy, Elsevier, vol. 199(C), pages 308-319.
    17. Meng Zhen & Weihan Zou & Wei Ding, 2022. "Cooling effect of roof greening with water misting in a cold region during the summer," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 7093-7114, May.
    18. Bazdar, Elaheh & Nasiri, Fuzhan & Haghighat, Fariborz, 2024. "Resilience-centered optimal sizing and scheduling of a building-integrated PV-based energy system with hybrid adiabatic-compressed air energy storage and battery systems," Energy, Elsevier, vol. 308(C).
    19. Nallapaneni Manoj Kumar & Aritra Ghosh & Shauhrat S. Chopra, 2020. "Power Resilience Enhancement of a Residential Electricity User Using Photovoltaics and a Battery Energy Storage System under Uncertainty Conditions," Energies, MDPI, vol. 13(16), pages 1-26, August.
    20. Liu, Xingnan & Lu, Hao & Zhao, Wenjun & Chen, Yuhang & Shao, Shiru, 2025. "Research on optimal scheduling and source-network-load correlation matching of integrated energy system considering uncertainty," Energy, Elsevier, vol. 321(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:399:y:2025:i:c:s030626192501253x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.