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A genetic algorithm applied to the validation of building thermal models
- Source :
- Energy and Buildings, Energy and Buildings, Elsevier, 2005, 37 (8), pp.858-866
- Publication Year :
- 2005
- Publisher :
- HAL CCSD, 2005.
-
Abstract
- International audience; 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.
- Subjects :
- Coupling
FOS: Computer and information sciences
Basis (linear algebra)
Computer science
020209 energy
Mechanical Engineering
0211 other engineering and technologies
Computer Science - Neural and Evolutionary Computing
02 engineering and technology
Building and Construction
Model validity
Randomized search
021105 building & construction
Thermal
Genetic algorithm
0202 electrical engineering, electronic engineering, information engineering
Code (cryptography)
[PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]
[SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]
Neural and Evolutionary Computing (cs.NE)
Electrical and Electronic Engineering
Thermal model
Algorithm
Civil and Structural Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 03787788
- Database :
- OpenAIRE
- Journal :
- Energy and Buildings, Energy and Buildings, Elsevier, 2005, 37 (8), pp.858-866
- Accession number :
- edsair.doi.dedup.....0fe44188d6c604674726f258f4b4ca34