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,
energy auditors and architects, by providing a resource which improves
energy audit tasks in existing buildings.