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A simulation exercise to improve building energy performance characterization via on-board monitoring
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| Abstract |
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| Both a well-designed on-board monitoring campaign and an adequate data-driven statistical modeling method are required to accurately characterize the building's overall heat transfer coefficient (HTC). In this paper, we reflect on the latter by means of a theoretical deduction of the heat balance equation and case studies on simulation data. We demonstrate the impact of using air temperatures as a proxy for equivalent temperatures and neglecting the intercept when characterizing the HTC using a linear regression method on measurement data. (C) 2017 The Authors. Published by Elsevier Ltd. |
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| Language |
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English
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Energy Procedia | |
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11th Nordic Symposium on Building Physics (NSB), JUN 11-14, 2017, Trondheim, NORWAY | |
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Amsterdam : Elsevier science bv, 2017
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1876-6102
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132(2017), p. 969-974
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000426435500162
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