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Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day

Author

Listed:
  • Jiayu Li

    (School of Architecture and Art, Central South University, Changsha 410083, China)

  • Bohong Zheng

    (School of Architecture and Art, Central South University, Changsha 410083, China)

  • Komi Bernard Bedra

    (School of Architecture and Art, Central South University, Changsha 410083, China)

  • Zhe Li

    (School of Architecture and Art, Central South University, Changsha 410083, China)

  • Xiao Chen

    (College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China)

Abstract

The window-to-wall ratio (WWR) significantly affects the indoor thermal environment, causing changes in buildings’ energy demands. This research couples the “Envi-met” model and the “TRNSYS” model to predict the impact of the window-to-wall ratio on indoor cooling energy demands in south Hunan. With the coupled model, “Envi-met + TRNSYS”, fixed meteorological parameters around the exterior walls are replaced by varied data provided by Envi-met. This makes TRNSYS predictions more accurate. Six window-to-wall ratios are considered in this research, and in each scenario, the electricity demand for cooling is predicted using “Envi-met + TRNSYS”. Based on the classification of thermal perception in south Hunan, the TRNSYS predictions of the electricity demand start with 30 °C as the threshold of refrigeration. The analytical results reveal that in a 6-storey residential building with 24 households, in order to maintain the air temperature below 30 °C, the electricity required for cooling buildings with 0% WWR, 20% WWR, 40% WWR, 60% WWR, 80% WWR, and 100% WWR are respectively 0 KW·h, 19.6 KW·h, 133.7 KW·h, 273.1 KW·h, 374.5 KW·h, and 461.9 KW·h. This method considers the influence of microclimate on the exterior wall and improves the accuracy of TRNSYS in predicting the energy demand for indoor cooling.

Suggested Citation

  • Jiayu Li & Bohong Zheng & Komi Bernard Bedra & Zhe Li & Xiao Chen, 2021. "Evaluating the Effect of Window-to-Wall Ratios on Cooling-Energy Demand on a Typical Summer Day," IJERPH, MDPI, vol. 18(16), pages 1-13, August.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8411-:d:611047
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    References listed on IDEAS

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    1. Aburas, Marina & Soebarto, Veronica & Williamson, Terence & Liang, Runqi & Ebendorff-Heidepriem, Heike & Wu, Yupeng, 2019. "Thermochromic smart window technologies for building application: A review," Applied Energy, Elsevier, vol. 255(C).
    2. Assimakopoulos, M.N. & Mihalakakou, G. & Flocas, H.A., 2007. "Simulating the thermal behaviour of a building during summer period in the urban environment," Renewable Energy, Elsevier, vol. 32(11), pages 1805-1816.
    3. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    4. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    5. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    6. Jiayu Li & Bohong Zheng & Wenquan Shen & Yanfen Xiang & Xiao Chen & Zhiyong Qi, 2019. "Cooling and Energy-Saving Performance of Different Green Wall Design: A Simulation Study of a Block," Energies, MDPI, vol. 12(15), pages 1-17, July.
    7. Mamdooh Alwetaishi & Omrane Benjeddou, 2021. "Impact of Window to Wall Ratio on Energy Loads in Hot Regions: A Study of Building Energy Performance," Energies, MDPI, vol. 14(4), pages 1-15, February.
    8. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    9. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    10. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
    11. Sana Sayadi & Abolfazl Hayati & Mazyar Salmanzadeh, 2021. "Optimization of Window-to-Wall Ratio for Buildings Located in Different Climates: An IDA-Indoor Climate and Energy Simulation Study," Energies, MDPI, vol. 14(7), pages 1-21, April.
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    Cited by:

    1. Hao Yang & Maoyu Ran & Chaoqun Zhuang, 2022. "Prediction of Building Electricity Consumption Based on Joinpoint−Multiple Linear Regression," Energies, MDPI, vol. 15(22), pages 1-19, November.

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