| 书目名称 | School Buildings Rehabilitation |
| 副标题 | Indoor Environmental |
| 编辑 | Ricardo M.S.F. Almeida,Vasco Peixoto Freitas,João |
| 视频video | |
| 概述 | Presents a multi-objective methodology for optimizing school building enclosures, combining artificial neural networks and lifecycle costs.Includes supplementary material: |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .This book discusses the effect of different school building rehabilitation strategies on the classrooms’ indoor environmental quality (IEQ) and presents a multi-objective methodology for school building enclosure optimization combining artificial neural networks and lifecycle costs. The special features of this book are that it (a) presents the state-of-the-art in school building rehabilitation, (b) covers the IEQ assessment of several school buildings, including non-rehabilitated and rehabilitated according to different strategies; and (c) proposes a multi-objective optimization procedure..The rehabilitation of a school building should be regarded as a procedure combining a number of (sometimes conflicting) variables and objectives, including energy, IEQ and costs (initial, operational and maintenance), in the search for an “optimum solution.” The main benefit of the book is that it discusses the main topics related to school building rehabilitation, presents results of the IEQ assessment on 9 school buildings and launches a discussion on how the “in-use” performance of schools is key to understanding how designed performance is actually experienced. It maps the most commonly use |
| 出版日期 | Book 2015 |
| 关键词 | Artificial Neural Networks; Building Energy Simulation; Classrooms’ Indoor Environmental Quality (IEQ) |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-15359-9 |
| isbn_softcover | 978-3-319-15358-2 |
| isbn_ebook | 978-3-319-15359-9Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2015 |
发表于 2025-3-21 17:39:01
