IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p832-d1032181.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/832/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/2/832/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
    2. Cheng, Yuanda & Gao, Min & Jia, Jie & Sun, Yanyi & Fan, Yi & Yu, Min, 2019. "An optimal and comparison study on daylight and overall energy performance of double-glazed photovoltaics windows in cold region of China," Energy, Elsevier, vol. 170(C), pages 356-366.
    3. Yibing Xue & Wenhan Liu, 2022. "A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    4. Taveres-Cachat, Ellika & Lobaccaro, Gabriele & Goia, Francesco & Chaudhary, Gaurav, 2019. "A methodology to improve the performance of PV integrated shading devices using multi-objective optimization," Applied Energy, Elsevier, vol. 247(C), pages 731-744.
    5. Le-Thanh, Luan & Le-Duc, Thang & Ngo-Minh, Hung & Nguyen, Quoc-Hung & Nguyen-Xuan, H., 2021. "Optimal design of an Origami-inspired kinetic façade by balancing composite motion optimization for improving daylight performance and energy efficiency," Energy, Elsevier, vol. 219(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    2. de Almeida Rocha, Ana Paula & Reynoso-Meza, Gilberto & Oliveira, Ricardo C.L.F. & Mendes, Nathan, 2020. "A pixel counting based method for designing shading devices in buildings considering energy efficiency, daylight use and fading protection," Applied Energy, Elsevier, vol. 262(C).
    3. Yu, Guoqing & Yang, Hongxing & Luo, Daina & Cheng, Xu & Ansah, Mark Kyeredey, 2021. "A review on developments and researches of building integrated photovoltaic (BIPV) windows and shading blinds," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    5. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    6. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    7. Gonçalves, M. & Figueiredo, A. & Almeida, R.M.S.F. & Vicente, R., 2024. "Dynamic façades in buildings: A systematic review across thermal comfort, energy efficiency and daylight performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    8. Pikas, Ergo & Thalfeldt, Martin & Kurnitski, Jarek & Liias, Roode, 2015. "Extra cost analyses of two apartment buildings for achieving nearly zero and low energy buildings," Energy, Elsevier, vol. 84(C), pages 623-633.
    9. 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).
    10. 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).
    11. Østergård, Torben & Jensen, Rasmus Lund & Maagaard, Steffen Enersen, 2018. "A comparison of six metamodeling techniques applied to building performance simulations," Applied Energy, Elsevier, vol. 211(C), pages 89-103.
    12. Bingham, Raymond D. & Agelin-Chaab, Martin & Rosen, Marc A., 2019. "Whole building optimization of a residential home with PV and battery storage in The Bahamas," Renewable Energy, Elsevier, vol. 132(C), pages 1088-1103.
    13. Wijeratne, W.M. Pabasara Upalakshi & Samarasinghalage, Tharushi Imalka & Yang, Rebecca Jing & Wakefield, Ron, 2022. "Multi-objective optimisation for building integrated photovoltaics (BIPV) roof projects in early design phase," Applied Energy, Elsevier, vol. 309(C).
    14. Jouttijärvi, Sami & Lobaccaro, Gabriele & Kamppinen, Aleksi & Miettunen, Kati, 2022. "Benefits of bifacial solar cells combined with low voltage power grids at high latitudes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    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. Rodrigues, Eugénio & Fernandes, Marco S. & Gomes, Álvaro & Gaspar, Adélio Rodrigues & Costa, José J., 2019. "Performance-based design of multi-story buildings for a sustainable urban environment: A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    17. Eleftheria Touloupaki & Theodoros Theodosiou, 2017. "Performance Simulation Integrated in Parametric 3D Modeling as a Method for Early Stage Design Optimization—A Review," Energies, MDPI, vol. 10(5), pages 1-18, May.
    18. Weifan Long & Xiaofei Chen & Qingsong Ma & Xindong Wei & Qiao Xi, 2022. "An Evaluation of the PV Integrated Dynamic Overhangs Based on Parametric Performance Design Method: A Case Study of a Student Apartment in China," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    19. Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
    20. 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.

    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:jeners:v:16:y:2023:i:2:p:832-:d:1032181. 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.