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Multi-objective optimisations of envelope components for a prefabricated house in six climate zones

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  • Naji, Sareh
  • Aye, Lu
  • Noguchi, Masa

Abstract

The ever-increasing attention towards implementation of environmentally sustainable buildings necessitates the predictions of energy consumption and indoor environmental quality (IEQ) during early design stages. Prefabrication of buildings changes the construction process and components which affects building performance. Better understanding the effects of envelope components on energy performance and IEQ will inform design decisions leading to the creation of more sustainable buildings. In this article multi-objective optimisations of building envelope were carried out by coupling TRNSYS (Transient System Simulation Tool) and jEPlus + EA (EnergyPlus simulation manager for parametrics + Evolutionary Algorithms). The objective functions to be minimised were thermal discomfort hours (TDH), daylight unsatisfied hours (DUH) and life cycle costs (LCC) while maintaining acceptable sound transmission levels and indoor air quality. The decision variables were envelope components of a prefabricated house. Applications for six different climate zones corresponding to eight locations in Australia were investigated. The optimal solution sets were unique for each climate zone. The optimal solutions achieved 27–31% savings in LCC compared to the baseline. The reductions for TDH varied from 6% to 55% among the locations. As a result of trade-offs, the selected compromised solutions in each climate could achieve better reductions for either TDH, LCC or both.

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  • Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Multi-objective optimisations of envelope components for a prefabricated house in six climate zones," Applied Energy, Elsevier, vol. 282(PA).
    • Handle: RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920314562
    DOI: 10.1016/j.apenergy.2020.116012
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    2. Shi, Hao & Xu, Huining & Tan, Yiqiu & Li, Qiang & Yi, Wei, 2022. "Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport," Renewable Energy, Elsevier, vol. 201(P2), pages 100-116.
    3. Tarek M. Kamel & Amany Khalil & Mohammed M. Lakousha & Randa Khalil & Mohamed Hamdy, 2024. "Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates," Energies, MDPI, vol. 17(3), pages 1-27, January.
    4. Rudai Shan & Lars Junghans, 2023. "Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review," Sustainability, MDPI, vol. 15(21), pages 1-33, November.
    5. Naji, Sareh & Aye, Lu & Noguchi, Masa, 2021. "Sensitivity analysis on energy performance, thermal and visual discomfort of a prefabricated house in six climate zones in Australia," Applied Energy, Elsevier, vol. 298(C).
    6. Elaouzy, Youssef & El Fadar, Abdellah, 2023. "Sustainability of building-integrated bioclimatic design strategies depending on energy affordability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).

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