A genetic algorithm applied to the validation of building thermal models

被引：14

作者：

Lauret, P ^{[1
]}

Boyer, H ^{[1
]}

Riviere, C ^{[1
]}

Bastide, A ^{[1
]}

机构：

[1] Univ Reunion, Lab Genie Ind, Equipe Genie Civil & Therm Habitat, F-97705 St Denis, France

来源：

ENERGY AND BUILDINGS | 2005年 / 37卷 / 08期

关键词：

genetic algorithms; building thermal model; nodal model; model validation;

D O I：

10.1016/j.enbuild.2004.11.006

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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. (c) 2004 Elsevier B.V. All rights reserved.

引用

页码：858 / 866

页数：9