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Sensitivity Analysis for Carbon Emissions of Prefabricated Residential Buildings with Window Design Elements

Author

Listed:
  • Simeng Li

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China)

  • Yanqiu Cui

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250101, China)

  • Nerija Banaitienė

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania)

  • Chunlu Liu

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

  • Mark B. Luther

    (School of Architecture and Built Environment, Deakin University, Geelong, VIC 3220, Australia)

Abstract

Owing to the advantages of high construction efficiency, prefabricated residential buildings have been of increasing interest in recent years. Against the background of global heating, designing low-carbon facades for prefabricated residential buildings has become a focus. The main challenge for this research is in designing windows for prefabricated residential buildings that can lead to the best performance in carbon emissions. The purpose of this paper is to summarize window design advice for prefabricated residential building facades with low-carbon goals. This paper adopts the single control variable research method. Building energy consumption and carbon dioxide emissions under different conditions comprise the primary data used in the study. In the process of achieving the research aim, this study firstly extracts the window design elements of prefabricated residential facades. Secondly, objective function formulas are established and a basic model is built for obtaining data. Thirdly, data results are analyzed and window design advice is put forward under the condition of a low-carbon goal. This paper discusses that the optimal window-to-wall ratio (WWR) with a low-carbon orientation is around 0.15, and compares it innovatively with the optimal WWR under an energy-saving orientation at around 0.38. The research results of this paper can deepen the understanding of architectural low-carbon design and play a guiding role for architects.

Suggested Citation

  • Simeng Li & Yanqiu Cui & Nerija Banaitienė & Chunlu Liu & Mark B. Luther, 2021. "Sensitivity Analysis for Carbon Emissions of Prefabricated Residential Buildings with Window Design Elements," Energies, MDPI, vol. 14(19), pages 1-25, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6436-:d:652037
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    References listed on IDEAS

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    1. Yanqiu Cui & Simeng Li & Chunlu Liu & Ninghan Sun, 2020. "Creation and Diversified Applications of Plane Module Libraries for Prefabricated Houses Based on BIM," Sustainability, MDPI, vol. 12(2), pages 1-17, January.
    2. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    3. Goia, Francesco & Haase, Matthias & Perino, Marco, 2013. "Optimizing the configuration of a façade module for office buildings by means of integrated thermal and lighting simulations in a total energy perspective," Applied Energy, Elsevier, vol. 108(C), pages 515-527.
    4. Álex Moreno & Daniel Chemisana & Rodolphe Vaillon & Alberto Riverola & Alejandro Solans, 2019. "Energy and Luminous Performance Investigation of an OPV/ETFE Glazing Element for Building Integration," Energies, MDPI, vol. 12(10), pages 1-16, May.
    5. Ismael R. Maestre & Juan Luis Foncubierta Blázquez & Francisco Javier González Gallero & J. Daniel Mena Baladés, 2020. "Effect of Sky Discretization for Shading Device Calculation on Building Energy Performance Simulations," Energies, MDPI, vol. 13(6), pages 1-14, March.
    6. Ihm, Pyeongchan & Park, Lyool & Krarti, Moncef & Seo, Donghyun, 2012. "Impact of window selection on the energy performance of residential buildings in South Korea," Energy Policy, Elsevier, vol. 44(C), pages 1-9.
    7. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
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    Cited by:

    1. Ye Li & Shixuan Li & Shiyao Xia & Bojia Li & Xinyu Zhang & Boyuan Wang & Tianzhen Ye & Wandong Zheng, 2023. "A Review on the Policy, Technology and Evaluation Method of Low-Carbon Buildings and Communities," Energies, MDPI, vol. 16(4), pages 1-43, February.

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