Energy Optimization and Prediction in Office Buildings PDF
By:Carlos Rubio-Bellido,Alexis Pérez-Fargallo,Jesús Pulido-Arcas
Published on 2018-04-20 by Springer
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.
This Book was ranked at 39 by Google Books for keyword Buildings.
Book ID of Energy Optimization and Prediction in Office Buildings's Books is 1KZWDwAAQBAJ, Book which was written byCarlos Rubio-Bellido,Alexis Pérez-Fargallo,Jesús Pulido-Arcashave ETAG "bnXzMCpK49U"
Book which was published by Springer since 2018-04-20 have ISBNs, ISBN 13 Code is 9783319901466 and ISBN 10 Code is 331990146X
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Book which have "78 Pages" is Printed at BOOK under CategoryArchitecture
Book was written in en
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