Energy Optimization and Prediction in Office Buildings

Provides tools to reduce energy consumption and CO2 emissions in modern office buildings Provides computer-aided optimization tools

Demonstrates building energy optimization techniques in several climate zones

Provides essential tools for reducing energy consumption and CO2 emissions in modern office buildings Highlights computer-aided optimization tools Demonstrates building energy optimization techniques in several climate zones

Autorentext

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.

Klappentext

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