E-Book, Englisch, 78 Seiten, eBook
Reihe: SpringerBriefs in Energy
A Case Study of Office Building Design in Chile
E-Book, Englisch, 78 Seiten, eBook
Reihe: SpringerBriefs in Energy
ISBN: 978-3-319-90146-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Research Method.- Energy Demand Analysis.- Multiple Linear Regressions.- Artificial Neural Networks.- Conclusions.