Overview
- Provides essential tools for reducing energy consumption and CO2 emissions in modern office buildings
- Highlights computer-aided optimization tools
- Demonstrates building energy optimization techniques in several climate zones
Part of the book series: SpringerBriefs in Energy (BRIEFSENERGY)
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Table of contents (5 chapters)
Keywords
About this book
This book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced. It is based upon the authors’ extensive research into the design and energy optimization of office buildings in Chile.
The authors first introduce a calculation procedure that can be used for the optimization of energy parameters in office buildings, and to predict how a changing climate may affect energy demand. The prediction of energy demand, consumption and CO2 emissions is demonstrated by solving simple equations using the example of Chilean buildings, and the findings are subsequently applied to buildings around the globe.
Authors and Affiliations
About the authors
Carlos Rubio-Bellido is an assistant professor at the Department of Building Construction II at the University of Sevilla. His research focuses largely on energy efficiency, climate adaption and climate change in the building sector.
Alexis Pérez-Fargallo is an assistant professor at the Department of Building Science at the University of Bío-Bío and is a specialist for energy demand, energy consumption and CO2 emissions in buildings that are in use.
Jesús A. Pulido-Arcas is an assistant professor at the Department of Building Science at the University of Bío-Bío. He has published extensive research works concerning radiative transfer, statistical and environmental software in architecture.
Bibliographic Information
Book Title: Energy Optimization and Prediction in Office Buildings
Book Subtitle: A Case Study of Office Building Design in Chile
Authors: Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas
Series Title: SpringerBriefs in Energy
DOI: https://doi.org/10.1007/978-3-319-90146-6
Publisher: Springer Cham
eBook Packages: Energy, Energy (R0)
Copyright Information: The Author(s) 2018
Softcover ISBN: 978-3-319-90145-9Published: 03 May 2018
eBook ISBN: 978-3-319-90146-6Published: 20 April 2018
Series ISSN: 2191-5520
Series E-ISSN: 2191-5539
Edition Number: 1
Number of Pages: X, 78
Number of Illustrations: 2 b/w illustrations, 20 illustrations in colour
Topics: Sustainable Architecture/Green Buildings, Energy Efficiency, Building Construction and Design, Mathematical Models of Cognitive Processes and Neural Networks, Optimization