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A Parametric Design Method for the Lighting Environment of a Library Building Based on Building Performance Evaluation

Author

Listed:
  • Qibo Liu

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

  • Xiao Han

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

  • Yuheng Yan

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

  • Juan Ren

    (School of Architecture, Chang’an University, Xi’an 710061, China
    School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China)

Abstract

The lighting conditions of a library directly affect the users’ spatial experience, with glass curtain walls being widely used in the design of library skins. Although glass curtain walls have been extensively adopted, they increase indoor sun exposure and glare. Considering sunlight duration and radiation as the design basis, this study employs the Rhino and Grasshopper parametric platforms to parametrically design a library with a dynamic shading skin. Specifically, our design utilizes modular shading components that can change depending on the simulated sunlight data at different times. Additionally, a new optimal design strategy has been developed to enhance the environmental lighting performance of the library. The simulation results highlight that the indoor environmental lighting performance, under dynamic epidermal shading and based on sunlight duration data, is better for east–west, north–south, and east–west orientations on the summer solstice and the winter solstice. Meanwhile, the indoor environmental lighting performance, under dynamic epidermal shading based on daylight radiation data, is better for north–south orientation on the winter solstice. Overall, this study uses parameterization to integrate building simulation and architectural design to improve a building’s lighting performance.

Suggested Citation

  • Qibo Liu & Xiao Han & Yuheng Yan & Juan Ren, 2023. "A Parametric Design Method for the Lighting Environment of a Library Building Based on Building Performance Evaluation," Energies, MDPI, vol. 16(2), pages 1-20, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:832-:d:1032181
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    References listed on IDEAS

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    Cited by:

    1. Qibo Liu & Yimeng Zhang & Wendong Ma & Juan Ren, 2023. "Application of an Architect-Friendly Digital Design Approach to the Wind Environment of Campus Dormitory Buildings," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    2. Łukasz J. Orman & Natalia Krawczyk & Norbert Radek & Stanislav Honus & Jacek Pietraszek & Luiza Dębska & Agata Dudek & Artur Kalinowski, 2023. "Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings," Energies, MDPI, vol. 16(18), pages 1-21, September.

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