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Overall heat loss coefficient and domestic energy gain factor for single family buildings
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2002 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 37, no 11, 1019-1026 p.Article in journal (Refereed) Published
Abstract [en]

In this work we introduce a method for estimating the variation of the overall heat loss coe"cient and the domestic energy gain factor. Based on a neural network model, these parameters were extracted from analyzing the model by indirect methods. The used model parameters were: the supplied heating demand, the domestic electrical demand and the indoor–outdoor temperature di5erence. A feed-forward back propagation neural network was used as modeling tool. The proposed method has been found accurate, based on an analysis of arti6cially generated data. Additionally, measured data of inhabited single family buildings were examined and the model was found to generate reliable results, in parity with results obtained by comparable methods and estimations.

Place, publisher, year, edition, pages
2002. Vol. 37, no 11, 1019-1026 p.
Keyword [en]
single-family buildings, internal loads, gained domestic energy, neural networks, system identi6cation, overall heat loss coefficient
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-38893DOI: 10.1016/S0360-1323(01)00094-4OAI: oai:DiVA.org:umu-38893DiVA: diva2:384322
Available from: 2011-01-08 Created: 2011-01-08 Last updated: 2017-12-11

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Olofsson, ThomasAndersson, Staffan
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  • apa
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  • Other locale
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  • asciidoc
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