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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.
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    3. 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.
    4. 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.
    5. 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.
    6. Gwerder, M. & Lehmann, B. & Tödtli, J. & Dorer, V. & Renggli, F., 2008. "Control of thermally-activated building systems (TABS)," Applied Energy, Elsevier, vol. 85(7), pages 565-581, July.
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    13. 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.
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    18. 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.

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