IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p8217-d1482464.html
   My bibliography  Save this article

Multi-Objective Optimization of Building Envelope Retrofits Considering Future Climate Scenarios: An Integrated Approach Using Machine Learning and Climate Models

Author

Listed:
  • Zhikun Ding

    (Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China
    Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen University, Shenzhen 518060, China)

  • Jinze Li

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Zhan Wang

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Zhaoyang Xiong

    (Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

Abstract

The intensification of global climate change has exacerbated building energy consumption issues, presenting a significant challenge in retrofitting existing buildings to meet current environmental requirements while adapting to future climate scenarios. A multi-objective optimization design process for building envelope retrofits was developed in this study, utilizing random forest (RF) models and atmospheric circulation models to generate future weather data. Building Information Modeling (BIM) and performance simulations were employed to obtain data under various renovation scenarios. A BP neural network model related envelope design parameters to performance indicators, while the NSGA-III algorithm optimized retrofit strategies. The proposed method demonstrates improved efficiency and validity in developing energy-saving solutions that consider future climate scenarios. Results highlight the importance of incorporating climate change factors in retrofit designs, providing valuable insights and methodological support for decision-makers in building energy conservation practices.

Suggested Citation

  • Zhikun Ding & Jinze Li & Zhan Wang & Zhaoyang Xiong, 2024. "Multi-Objective Optimization of Building Envelope Retrofits Considering Future Climate Scenarios: An Integrated Approach Using Machine Learning and Climate Models," Sustainability, MDPI, vol. 16(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8217-:d:1482464
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/8217/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/18/8217/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
    2. Liu, Guo & Li, Xiaohu & Tan, Yongtao & Zhang, Guomin, 2020. "Building green retrofit in China: Policies, barriers and recommendations," Energy Policy, Elsevier, vol. 139(C).
    3. Shen, Pengyuan & Braham, William & Yi, Yunkyu, 2019. "The feasibility and importance of considering climate change impacts in building retrofit analysis," Applied Energy, Elsevier, vol. 233, pages 254-270.
    4. Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
    5. Cristina Baglivo, 2021. "Dynamic Evaluation of the Effects of Climate Change on the Energy Renovation of a School in a Mediterranean Climate," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    6. Luo, Haizhi & Li, Yingyue & Gao, Xinyu & Meng, Xiangzhao & Yang, Xiaohu & Yan, Jinyue, 2023. "Carbon emission prediction model of prefecture-level administrative region: A land-use-based case study of Xi'an city, China," Applied Energy, Elsevier, vol. 348(C).
    Full references (including those not matched with items on IDEAS)

    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. Sánchez, M.N. & Soutullo, S. & Olmedo, R. & Bravo, D. & Castaño, S. & Jiménez, M.J., 2020. "An experimental methodology to assess the climate impact on the energy performance of buildings: A ten-year evaluation in temperate and cold desert areas," Applied Energy, Elsevier, vol. 264(C).
    2. Shadram, Farshid & Bhattacharjee, Shimantika & Lidelöw, Sofia & Mukkavaara, Jani & Olofsson, Thomas, 2020. "Exploring the trade-off in life cycle energy of building retrofit through optimization," Applied Energy, Elsevier, vol. 269(C).
    3. Deb, C. & Schlueter, A., 2021. "Review of data-driven energy modelling techniques for building retrofit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    4. U. G. D. Madushika & Thanuja Ramachandra & Gayani Karunasena & P. A. D. S. Udakara, 2023. "Energy Retrofitting Technologies of Buildings: A Review-Based Assessment," Energies, MDPI, vol. 16(13), pages 1-16, June.
    5. Yang, Yuchen & Javanroodi, Kavan & Nik, Vahid M., 2021. "Climate change and energy performance of European residential building stocks – A comprehensive impact assessment using climate big data from the coordinated regional climate downscaling experiment," Applied Energy, Elsevier, vol. 298(C).
    6. Petkov, Ivalin & Mavromatidis, Georgios & Knoeri, Christof & Allan, James & Hoffmann, Volker H., 2022. "MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits," Applied Energy, Elsevier, vol. 314(C).
    7. S. Soutullo & E. Giancola & M. J. Jiménez & J. A. Ferrer & M. N. Sánchez, 2020. "How Climate Trends Impact on the Thermal Performance of a Typical Residential Building in Madrid," Energies, MDPI, vol. 13(1), pages 1-21, January.
    8. Ma, Dingyuan & Li, Xiaodong & Lin, Borong & Zhu, Yimin, 2023. "An intelligent retrofit decision-making model for building program planning considering tacit knowledge and multiple objectives," Energy, Elsevier, vol. 263(PB).
    9. Yu Cao & Cong Xu & Syahrul Nizam Kamaruzzaman & Nur Mardhiyah Aziz, 2022. "A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    10. Linyan Chen & Xin Gao & Shitao Gong & Zhou Li, 2020. "Regionalization of Green Building Development in China: A Comprehensive Evaluation Model Based on the Catastrophe Progression Method," Sustainability, MDPI, vol. 12(15), pages 1-22, July.
    11. Pajek, Luka & Košir, Mitja, 2021. "Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation," Applied Energy, Elsevier, vol. 297(C).
    12. Maria Psillaki & Nikolaos Apostolopoulos & Ilias Makris & Panagiotis Liargovas & Sotiris Apostolopoulos & Panos Dimitrakopoulos & George Sklias, 2023. "Hospitals’ Energy Efficiency in the Perspective of Saving Resources and Providing Quality Services through Technological Options: A Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-21, January.
    13. Li, Wuyan & Li, Xianting & Gao, Yijun & Shi, Wenxing, 2022. "Thermo-economic evaluation for energy retrofitting building ventilation system based on run-around heat recovery system," Energy, Elsevier, vol. 260(C).
    14. Mojtaba Ashour & Amir Mahdiyar & Syarmila Hany Haron, 2021. "A Comprehensive Review of Deterrents to the Practice of Sustainable Interior Architecture and Design," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    15. Fahlstedt, Oskar & Temeljotov-Salaj, Alenka & Lohne, Jardar & Bohne, Rolf André, 2022. "Holistic assessment of carbon abatement strategies in building refurbishment literature — A scoping review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    16. Rayane de Lima Moura Paiva & Lucas Rosse Caldas & Adriana Paiva de Souza Martins & Patricia Brandão de Sousa & Giulia Fea de Oliveira & Romildo Dias Toledo Filho, 2021. "Thermal-Energy Analysis and Life Cycle GHG Emissions Assessments of Innovative Earth-Based Bamboo Plastering Mortars," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    17. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    18. Mohamed Hamdy & Gerardo Maria Mauro, 2017. "Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time," Energies, MDPI, vol. 10(7), pages 1-26, July.
    19. Harkouss, Fatima & Fardoun, Farouk & Biwole, Pascal Henry, 2018. "Passive design optimization of low energy buildings in different climates," Energy, Elsevier, vol. 165(PA), pages 591-613.
    20. Maowen Sun & Boyi Liang & Xuebin Meng & Yunfei Zhang & Zong Wang & Jia Wang, 2024. "Study on the Evolution of Spatial and Temporal Patterns of Carbon Emissions and Influencing Factors in China," Land, MDPI, vol. 13(6), pages 1-24, June.

    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:gam:jsusta:v:16:y:2024:i:18:p:8217-:d:1482464. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.