Energy Optimization and Prediction in Office Buildings
Alexis Pérez-Fargallo, Carlos Rubio-Bellido, Jesús Pulido-Arcas
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Bau- und Umwelttechnik
Beschreibung
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.
Kundenbewertungen
Artificial Neural Networks, CO2 emissions of Office Buildings, Energy Consumption, Energy Demand in Buildings, Buildings in Chile, Energy Efficiency of Housing in Chile, Regression Models, Energy Efficiency