Journal
ENERGY AND BUILDINGS
Volume 38, Issue 6, Pages 582-587Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2005.08.014
Keywords
parameter identification; quantile-quantile plot; U-value; energy signature; heating curve; energy audit
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Estimation of energy performance indexes, like the heating curve or the energy signature, requires robust regression of the heating losses on the outdoor temperature. The solution proposed in this paper is to use the range between the 1st and the 3rd quartile of the quantile-quantile (q-q) plot to check if the heating losses and the outdoor temperature have the same distribution and, if yes, to perform the regression in this range of the q-q plot. The result is a model that conserves its prediction performance for data sets of the outdoor temperature different of those used for parameter identification. The robust model gives the overall heat transfer coefficient and the base temperature, and it may be used to estimate the energy consumption for data sets of the outdoor temperature coming from different time-space locations. (C) 2005 Elsevier B.V. All rights reserved.
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