Energy Optimization and Prediction in Office Buildings / SpringerBriefs in Energy (PDF)
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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.
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.
- Autoren: Carlos Rubio-Bellido , Alexis Pérez-Fargallo , Jesús Pulido-Arcas
- 2018, 1st ed. 2018, 78 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 331990146X
- ISBN-13: 9783319901466
- Erscheinungsdatum: 20.04.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 3.61 MB
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