This book is about the optimization of the characterization of the thermal properties of building envelopes, through experimental tests and the use of artificial intelligence. It analyses periodic and stationary thermal properties using measurement approaches based on the heat flow meter method and the thermometric method. These measurements are then analysed using advanced artificial intelligence algorithms.
The book is structured in four parts, beginning with a discussion of the importance of thermal properties in the energy performance of buildings. Secondly, theoretical and experimental methods for characterizing thermal properties are analysed. Then, the methodology is developed, and the characteristics and properties of the algorithms used are explored. Finally, the results obtained with the algorithms are analysed and the most appropriate approaches are determined.
This book is of interest to researchers, civil and industrial engineers, energyauditors and architects, by providing a resource which improves energy audit tasks in existing buildings.
The Influence of the Thermal Properties.- Methods to Assess the Thermal Properties.- Methodological Framework of Artificial Intelligence.- Estimation of Stationary Thermal Properties.- Estimation of Periodic Thermal Properties.- Analysis of Other Approaches to Experimental Thermal Characterization.
Dr David Bienvenido-Huertas is a researcher in the Building Construction II Department at Universidad de Sevilla, Spain. He is an active member of the Research Group TEP970: Technological Innovation, 3d Modeling Systems and Energy Diagnosis in Heritage and Building at the Universidad de Sevilla, and is a visiting professor at both the University of Seville and the University of La Coruña. His area of expertise covers climate change in the building sector, adaptive thermal comfort, heat transfer, fuel poverty, energy conservation measures, and design of nearly zero energy buildings. He is an author of more than 30 papers and frequently a reviewer of international peer reviewed journals.
