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Research on Multi-Objective Optimization Design of University Student Center in China Based on Low Energy Consumption and Thermal Comfort

Author

Listed:
  • Ming Liu

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Yufei Que

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Nanxin Yang

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Chongyi Yan

    (CCCC First Highway Consultant Co., Ltd., Xi’an 710068, China)

  • Qibo Liu

    (School of Architecture, Chang’an University, Xi’an 710061, China
    Engineering Research Center of Highway Infrastructure Digitalization, Ministry of Education, Xi’an 710064, China)

Abstract

Ensuring optimal building performance is vital for enhancing student activity comfort and fostering energy-saving initiatives toward low-carbon objectives. This paper focuses on university student centers in China, aiming to diminish building energy consumption while enhancing indoor thermal comfort. Parametric modeling of typical cases is executed using the Grasshopper 1.0.0007 software package, and the simulation of building energy consumption and indoor thermal comfort relies on the Ladybug and Honeybee plug-in. Employing a multi-objective optimization design method and the Octopus multi-objective optimization algorithm, this study integrates numerical simulations and on-site surveys to analyze how factors like building form, orientation, envelope structure, and others impact the indoor and outdoor environment. A comprehensive optimization design approach is implemented for the building’s exterior components, including the walls, windows, roof, and shading system. After conducting a comparative analysis of the annual comprehensive energy consumption and indoor thermal comfort before and after the optimization plan, it is determined that implementing these measures reduces the annual comprehensive energy consumption of the building under study by 58.8% and extends the duration of indoor thermal comfort by 53.0%. This study presents a practical optimization design methodology for university student center architecture in China, aiding architects in decision making and advocating for energy-efficient building designs.

Suggested Citation

  • Ming Liu & Yufei Que & Nanxin Yang & Chongyi Yan & Qibo Liu, 2024. "Research on Multi-Objective Optimization Design of University Student Center in China Based on Low Energy Consumption and Thermal Comfort," Energies, MDPI, vol. 17(9), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2082-:d:1384063
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    References listed on IDEAS

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    1. Thomas Wu & Bo Wang & Dongdong Zhang & Ziwei Zhao & Hongyu Zhu, 2023. "Benchmarking Evaluation of Building Energy Consumption Based on Data Mining," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Ramos Ruiz, Germán & Fernández Bandera, Carlos & Gómez-Acebo Temes, Tomás & Sánchez-Ostiz Gutierrez, Ana, 2016. "Genetic algorithm for building envelope calibration," Applied Energy, Elsevier, vol. 168(C), pages 691-705.
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