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Simulation-based approach to optimize passively designed buildings: A case study on a typical architectural form in hot and humid climates

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  • Chen, Xi
  • Yang, Hongxing
  • Zhang, Weilong

Abstract

Passive design strategies are important for achieving building sustainability given their proved influences over the building performance in both energy and indoor environmental aspects. The building layout, envelope thermophysics, building geometry and infiltration & air-tightness are major passive architectural parameters to improve the building energy efficiency. In this paper, a comprehensive literature review on simulation-based approaches to optimize passively designed buildings is conducted and corresponding research gaps are identified. Based on existing research methods, modelling experiments on a generic building are conducted to integrate robust variance-based sensitivity analyses with an early-stage design optimization process. Proposed mixed-mode ventilation and lighting dimming control algorithms are applied to the EnergyPlus model to simulate the total lighting and cooling energy demands by incorporating the related design criteria in a local green building assessment scheme. The non-dominated sorting genetic algorithm (NSGA-II) is then coupled with the modelling experiment to obtain the Pareto frontier as well as the final optimum solution. Different settings of NSGA-II are also investigated to improve the computational efficiency without jeopardizing the optimization productivity. Furthermore, the sensitivity of optimum design solutions to external environmental parameters in hot and humid areas are explored. Findings from this study will guide decision-makers through a holistic optimization process to fulfill energy-saving targets in a passively designed green building.

Suggested Citation

  • Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2018. "Simulation-based approach to optimize passively designed buildings: A case study on a typical architectural form in hot and humid climates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1712-1725.
    • Handle: RePEc:eee:rensus:v:82:y:2018:i:p2:p:1712-1725
    DOI: 10.1016/j.rser.2017.06.018
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    Cited by:

    1. Hua Zhang & Junya Ye & Kunming Li & Shujie Niu & Xiao Liu, 2024. "Multi-Stage Sensitivity Analysis of the Energy Demand for the Cooling of Grain Warehouses in Cold Regions of China," Agriculture, MDPI, vol. 14(2), pages 1-15, January.
    2. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    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. Liu, Jia & Cao, Sunliang & Chen, Xi & Yang, Hongxing & Peng, Jinqing, 2021. "Energy planning of renewable applications in high-rise residential buildings integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 281(C).
    5. Zhao, Zeming & Li, Hangxin & Wang, Shengwei, 2022. "Identification of the key design parameters of Zero/low energy buildings and the impacts of climate and building morphology," Applied Energy, Elsevier, vol. 328(C).
    6. Li, Hangxin & Wang, Shengwei, 2019. "Coordinated optimal design of zero/low energy buildings and their energy systems based on multi-stage design optimization," Energy, Elsevier, vol. 189(C).
    7. Miranda, Nicole D. & Renaldi, Renaldi & Khosla, Radhika & McCulloch, Malcolm D., 2021. "Bibliometric analysis and landscape of actors in passive cooling research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    8. Wang, Ran & Lu, Shilei & Feng, Wei, 2020. "A three-stage optimization methodology for envelope design of passive house considering energy demand, thermal comfort and cost," Energy, Elsevier, vol. 192(C).
    9. Ning Li & Zhechen Peng & Jian Dai & Ziwei Li, 2022. "Performance-Oriented Passive Design Strategies for Shape and Envelope Structure of Independent Residential Buildings in Yangtze River Delta Suburbs," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    10. Chen, Xi & Yang, Hongxing, 2018. "Integrated energy performance optimization of a passively designed high-rise residential building in different climatic zones of China," Applied Energy, Elsevier, vol. 215(C), pages 145-158.
    11. Li, Hangxin & Wang, Shengwei & Cheung, Howard, 2018. "Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions," Applied Energy, Elsevier, vol. 228(C), pages 1280-1291.
    12. Gauch, H.L. & Dunant, C.F. & Hawkins, W. & Cabrera Serrenho, A., 2023. "What really matters in multi-storey building design? A simultaneous sensitivity study of embodied carbon, construction cost, and operational energy," Applied Energy, Elsevier, vol. 333(C).
    13. Luo, Yongqiang & Zhang, Ling & Bozlar, Michael & Liu, Zhongbing & Guo, Hongshan & Meggers, Forrest, 2019. "Active building envelope systems toward renewable and sustainable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 470-491.
    14. Huang, Junchao & Chen, Xi & Yang, Hongxing & Zhang, Weilong, 2018. "Numerical investigation of a novel vacuum photovoltaic curtain wall and integrated optimization of photovoltaic envelope systems," Applied Energy, Elsevier, vol. 229(C), pages 1048-1060.
    15. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    16. Liu, Jia & Chen, Xi & Yang, Hongxing & Shan, Kui, 2021. "Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 290(C).
    17. Yizhe Xu & Chengchu Yan & Hao Qian & Liang Sun & Gang Wang & Yanlong Jiang, 2021. "A Novel Optimization Method for Conventional Primary and Secondary School Classrooms in Southern China Considering Energy Demand, Thermal Comfort and Daylighting," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
    18. Francesco Calise & Mário Costa & Qiuwang Wang & Xiliang Zhang & Neven Duić, 2018. "Recent Advances in the Analysis of Sustainable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-30, September.

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