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Title
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A simulation exercise to improve building energy performance characterization via on-board monitoring
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Author
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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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Source (journal)
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Energy Procedia
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Source (book)
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11th Nordic Symposium on Building Physics (NSB), JUN 11-14, 2017, Trondheim, NORWAY
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Publication
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Amsterdam
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Elsevier science bv
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2017
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ISSN
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1876-6102
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Volume/pages
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132
(2017)
, p. 969-974
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ISI
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000426435500162
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Full text (Publisher's DOI)
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