A genetic algorithm applied to the validation of building thermal models

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• 作者：Lauret ; Philippe ; Boyer ; Harry ; Riviere ; Carine ; Bastide ; Alain
• 关键词：Genetic algorithms ; Building thermal model ; Nodal model ; Model validation
• 刊名：Energy & Buildings
• 出版年：2005
• 出版时间：August, 2005
• 年：2005
• 卷：37
• 期：8
• 页码：858-866
• 全文大小：367 K

文摘

This paper presents the coupling of a building thermal simulation code with genetic algorithms (GAs). GAs are randomized search algorithms that are based on the mechanisms of natural selection and genetics. We show that this coupling allows the location of defective sub-models of a building thermal model, i.e. parts of model that are responsible for the disagreements between measurements and model predictions. The method first of all is checked and validated on the basis of a numerical model of a building taken as reference. It is then applied to a real building case. The results show that the method could constitute an efficient tool when checking the model validity.