| 书目名称 | Optimization of the Characterization of the Thermal Properties of the Building Envelope |
| 副标题 | Analysis of the Char |
| 编辑 | David Bienvenido-Huertas,Carlos Rubio-Bellido |
| 视频video | |
| 概述 | Presents an artificial intelligence based approach to characterise thermal properties of building envelopes.Explains the importance of thermal properties in the energy performance of buildings.Analyse |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2021 |
| 关键词 | Green Buildings; Sustainable Architecture; Thermal Properties; Building Envelopes; Energy Audit; Artifici |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-63629-6 |
| isbn_softcover | 978-3-030-63628-9 |
| isbn_ebook | 978-3-030-63629-6Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 18:07:24
