Advertisement

© 2015

School Buildings Rehabilitation

Indoor Environmental Quality and Enclosure Optimization

Book

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 1-3
  3. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 5-17
  4. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 19-29
  5. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 31-57
  6. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 59-80
  7. Ricardo M. S. F. Almeida, Vasco Peixoto de Freitas, João M. P. Q. Delgado
    Pages 81-83

About this book

Introduction

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 used multi-objective algorithms and artificial neural network architectures and proposes a methodology for combining these numerical tools with dynamic building simulations and lifecycle cost analysis to optimize school building enclosures. This methodology will be of value to scientists and engineers alike, while also addressing a variety of related disciplines, such as civil and mechanical engineering, architecture and mathematics.

Keywords

Artificial Neural Networks Building Energy Simulation Classrooms’ Indoor Environmental Quality (IEQ) Multi-objective Optimization School Building Rehabilitation School Life Cycle Cost Thermal Comfort

Authors and affiliations

  1. 1.Department of Civil Engineering Campus Politécnico de RepesesPolytechnic Institute of Viseu School of Technology & ManagementViseuPortugal
  2. 2.Building Physics Laboratory Department of Civil EngineeringFaculty of Engineering of University of PortoPortoPortugal
  3. 3.Building Physics Laboratory Department of Civil EngineeringFaculty of Engineering of University of PortoPortoPortugal

Bibliographic information

  • Book Title School Buildings Rehabilitation
  • Book Subtitle Indoor Environmental Quality and Enclosure Optimization
  • Authors Ricardo M.S.F. Almeida
    Vasco Peixoto de Freitas
    João M.P.Q. Delgado
  • Series Title SpringerBriefs in Applied Sciences and Technology
  • Series Abbreviated Title SpringerBriefs in Applied Sciences
  • DOI https://doi.org/10.1007/978-3-319-15359-9
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Energy Energy (R0)
  • Softcover ISBN 978-3-319-15358-2
  • eBook ISBN 978-3-319-15359-9
  • Series ISSN 2191-530X
  • Series E-ISSN 2191-5318
  • Edition Number 1
  • Number of Pages VIII, 83
  • Number of Illustrations 37 b/w illustrations, 8 illustrations in colour
  • Topics Energy Efficiency
    Building Repair and Maintenance
    Interior Architecture and Design
  • Buy this book on publisher's site
Industry Sectors
Energy, Utilities & Environment
Engineering
Oil, Gas & Geosciences