IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6436-d652037.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6436/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6436/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. 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.

    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. Seok-Hyun Kim & Hakgeun Jeong & Soo Cho, 2019. "A Study on Changes of Window Thermal Performance by Analysis of Physical Test Results in Korea," Energies, MDPI, vol. 12(20), pages 1-17, October.
    2. Jiayu Li & Bohong Zheng & Xiao Chen & Yihua Zhou & Jifa Rao & Komi Bernard Bedra, 2020. "Research on Annual Thermal Environment of Non-Hvac Building Regulated by Window-to-Wall Ratio in a Chinese City (Chenzhou)," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    3. Sun, Yanyi & Shanks, Katie & Baig, Hasan & Zhang, Wei & Hao, Xia & Li, Yongxue & He, Bo & Wilson, Robin & Liu, Hao & Sundaram, Senthilarasu & Zhang, Jingquan & Xie, Lingzhi & Mallick, Tapas & Wu, Yupe, 2018. "Integrated semi-transparent cadmium telluride photovoltaic glazing into windows: Energy and daylight performance for different architecture designs," Applied Energy, Elsevier, vol. 231(C), pages 972-984.
    4. Han, Shulun & Sun, Yuying & Wang, Wei & Xu, Wenjing & Wei, Wenzhe, 2023. "Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency," Renewable Energy, Elsevier, vol. 219(P1).
    5. Giorgio Baldinelli & Agnieszka Lechowska & Francesco Bianchi & Jacek Schnotale, 2020. "Sensitivity Analysis of Window Frame Components Effect on Thermal Transmittance," Energies, MDPI, vol. 13(11), pages 1-12, June.
    6. Moreno, Álex & Chemisana, Daniel & Lamnatou, Chrysovalantou & Maestro, Santiago, 2023. "Energy and photosynthetic performance investigation of a semitransparent photovoltaic rooftop greenhouse for building integration," Renewable Energy, Elsevier, vol. 215(C).
    7. 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.
    8. Chi, Fang'ai & Zhang, Jianxun & Li, Gaomei & Zhu, Zongzhou & Bart, Dewancker, 2019. "An investigation of the impact of Building Azimuth on energy consumption in sizhai traditional dwellings," Energy, Elsevier, vol. 180(C), pages 594-614.
    9. George M. Stavrakakis & Dimitris Al. Katsaprakakis & Markos Damasiotis, 2021. "Basic Principles, Most Common Computational Tools, and Capabilities for Building Energy and Urban Microclimate Simulations," Energies, MDPI, vol. 14(20), pages 1-41, October.
    10. Roberta Moschetti & Shabnam Homaei & Ellika Taveres-Cachat & Steinar Grynning, 2022. "Assessing Responsive Building Envelope Designs through Robustness-Based Multi-Criteria Decision Making in Zero-Emission Buildings," Energies, MDPI, vol. 15(4), pages 1-27, February.
    11. Wu, Xianguo & Feng, Zongbao & Chen, Hongyu & Qin, Yawei & Zheng, Shiyi & Wang, Lei & Liu, Yang & Skibniewski, Miroslaw J., 2022. "Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
    13. Ihara, Takeshi & Gustavsen, Arild & Jelle, Bjørn Petter, 2015. "Effect of facade components on energy efficiency in office buildings," Applied Energy, Elsevier, vol. 158(C), pages 422-432.
    14. Yorgos Spanodimitriou & Giovanni Ciampi & Michelangelo Scorpio & Niloufar Mokhtari & Ainoor Teimoorzadeh & Roberta Laffi & Sergio Sibilio, 2022. "Passive Strategies for Building Retrofitting: Performances Analysis and Incentive Policies for the Iranian Scenario," Energies, MDPI, vol. 15(5), pages 1-22, February.
    15. Li, Qingxiang & Zanelli, Alessandra, 2021. "A review on fabrication and applications of textile envelope integrated flexible photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    16. Jelena M. Djoković & Ružica R. Nikolić & Jan Bujnak & Branislav Hadzima & Filip Pastorek & Renata Dwornicka & Robert Ulewicz, 2022. "Selection of the Optimal Window Type and Orientation for the Two Cities in Serbia and One in Slovakia," Energies, MDPI, vol. 15(1), pages 1-18, January.
    17. Sun, Yanyi & Liu, Xin & Ming, Yang & Liu, Xiao & Mahon, Daniel & Wilson, Robin & Liu, Hao & Eames, Philip & Wu, Yupeng, 2021. "Energy and daylight performance of a smart window: Window integrated with thermotropic parallel slat-transparent insulation material," Applied Energy, Elsevier, vol. 293(C).
    18. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2017. "User satisfaction-induced demand side load management in residential buildings with user budget constraint," Applied Energy, Elsevier, vol. 187(C), pages 352-366.
    19. Yao, Jian, 2014. "Determining the energy performance of manually controlled solar shades: A stochastic model based co-simulation analysis," Applied Energy, Elsevier, vol. 127(C), pages 64-80.
    20. Ignacio Acosta & Jesús León & Pedro Bustamante, 2018. "Daylight Spectrum Index: A New Metric to Assess the Affinity of Light Sources with Daylighting," Energies, MDPI, vol. 11(10), pages 1-19, September.

    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:14:y:2021:i:19:p:6436-:d:652037. 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.