Energy Optimization and Prediction in Office Buildings (eBook)

A Case Study of Office Building Design in Chile
eBook Download: PDF
2018 | 1st ed. 2018
X, 78 Seiten
Springer International Publishing (Verlag)
978-3-319-90146-6 (ISBN)

Lese- und Medienproben

Energy Optimization and Prediction in Office Buildings - Carlos Rubio-Bellido, Alexis Pérez-Fargallo, Jesús Pulido-Arcas
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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.

An optimization process based on Artificial Neural Networks is discussed in detail, which predicts heating and cooling energy demands, energy consumption and CO2 emissions. Taken together, these processes will show readers how to reduce energy demand, consumption and CO2 emissions associated with office buildings in the future. Readers will gain an advanced understanding of energy use in buildings and how it can be reduced.



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.

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.

Introduction.- Research Method.- Energy Demand Analysis.- Multiple Linear Regressions.- Artificial Neural Networks.- Conclusions.

Erscheint lt. Verlag 20.4.2018
Reihe/Serie SpringerBriefs in Energy
SpringerBriefs in Energy
Zusatzinfo X, 78 p. 22 illus., 20 illus. in color.
Verlagsort Cham
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik
Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Schlagworte Artificial Neural Networks • Buildings in Chile • CO2 emissions of Office Buildings • Energy Consumption • Energy Demand in Buildings • energy efficiency • Energy Efficiency of Housing in Chile • regression models
ISBN-10 3-319-90146-X / 331990146X
ISBN-13 978-3-319-90146-6 / 9783319901466
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