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Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude

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  • Ma, Peizheng
  • Wang, Lin-Shu
  • Guo, Nianhua

Abstract

In two earlier papers we proposed a process assumption-based design method, one aim of which is the determination of the thermal requirement of a building by investigating the building functioning as a dynamic thermal system. The principal constraint of that determination is the building indoor temperature range to be no more than 2°C. In this paper we focus on the thermal requirement of maximum WWR (window-to-wall ratio) allowed by the constraint as a function of envelope U-value and ambient temperature amplitude. Seven US cities are studied to represent a range of ambient temperature amplitudes. As the window part of a building’s envelope is a prominent architectural feature of the building, WWR and its allowed maximum in terms of thermal autonomy are the signature/reflection of local ambient temperature amplitude and the variety of envelopes of building stock in each locality. Such signal characteristics are otherwise referred to as regional architecture.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:146:y:2015:i:c:p:84-91
    DOI: 10.1016/j.apenergy.2015.01.103
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    References listed on IDEAS

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    1. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    2. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2014. "Modeling of hydronic radiant cooling of a thermally homeostatic building using a parametric cooling tower," Applied Energy, Elsevier, vol. 127(C), pages 172-181.
    3. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2013. "Modeling of TABS-based thermally manageable buildings in Simulink," Applied Energy, Elsevier, vol. 104(C), pages 791-800.
    4. Lehmann, B. & Dorer, V. & Gwerder, M. & Renggli, F. & Tödtli, J., 2011. "Thermally activated building systems (TABS): Energy efficiency as a function of control strategy, hydronic circuit topology and (cold) generation system," Applied Energy, Elsevier, vol. 88(1), pages 180-191, January.
    5. Gwerder, M. & Tödtli, J. & Lehmann, B. & Dorer, V. & Güntensperger, W. & Renggli, F., 2009. "Control of thermally activated building systems (TABS) in intermittent operation with pulse width modulation," Applied Energy, Elsevier, vol. 86(9), pages 1606-1616, September.
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    8. 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.
    9. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Energy storage and heat extraction – From thermally activated building systems (TABS) to thermally homeostatic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 677-685.
    10. Wang, Lin-Shu & Ma, Peizheng, 2016. "The homeostasis solution – Mechanical homeostasis in architecturally homeostatic buildings," Applied Energy, Elsevier, vol. 162(C), pages 183-196.
    11. Fabrizio M. Amoruso & Udo Dietrich & Thorsten Schuetze, 2019. "Integrated BIM-Parametric Workflow-Based Analysis of Daylight Improvement for Sustainable Renovation of an Exemplary Apartment in Seoul, Korea," Sustainability, MDPI, vol. 11(9), pages 1-29, May.
    12. 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.
    13. 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.
    14. 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.
    15. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    16. Lee, Louis S.H. & Jim, C.Y., 2019. "Energy benefits of green-wall shading based on novel-accurate apportionment of short-wave radiation components," Applied Energy, Elsevier, vol. 238(C), pages 1506-1518.
    17. Dawei Xia & Weien Xie & Jialiang Guo & Yukai Zou & Zhuotong Wu & Yini Fan, 2023. "Building Thermal and Energy Performance of Subtropical Terraced Houses under Future Climate Uncertainty," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    18. 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.

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