Ontology type: schema:Chapter
2010
AUTHORSJavier Sedano , José Ramón Villar , Leticia Curiel , Enrique de la Cal , Emilio Corchado
ABSTRACTImproving the detection of thermal insulation failures in buildings includes the development of models for heating process and fabric gain -heat flux through exterior walls in the building-. Thermal insulation standards are now contractual obligations in new buildings, the energy efficiency in the case of buildings constructed before the regulations adopted is still an open issue, and the assumption is that it will be based on heat flux and conductivity measurement. A three-step procedure is proposed in this study that begins by considering the local building and heating system regulations as well as the specific features of the climate zone. Firstly, the dynamic thermal performance of different variables is specifically modeled. Secondly, an exploratory projection pursuit method called Cooperative Maximum-Likelihood Hebbian Learning is used to extract the relevant features. Finally, a supervised neural model and identification techniques are applied, in order to detect the heat flux through exterior walls in the building. The reliability of the proposed method is validated for a winter zone, associated to several cities in Spain. More... »
PAGES636-645
Trends in Applied Intelligent Systems
ISBN
978-3-642-13032-8
978-3-642-13033-5
http://scigraph.springernature.com/pub.10.1007/978-3-642-13033-5_65
DOIhttp://dx.doi.org/10.1007/978-3-642-13033-5_65
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