Optimization of the characterization of the thermal properties of the building envelope : analysis of the characterization of the façades using artificial intelligence / David Bienvenido-Huertas, Carlos Rubio-Bellido.

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...

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Bibliographic Details
Main Authors: Bienvenido-Huertas, David (Author), Rubio-Bellido, Carlos (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer, 2021.
Series:SpringerBriefs in applied sciences and technology,
Subjects:
Online Access:Click for online access
Description
Summary: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.
Physical Description:1 online resource (vi, 72 pages) : illustrations (some color)
Bibliography:Includes bibliographical references.
ISBN:9783030636296
3030636291
9783030636302
3030636305
ISSN:2191-530X
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