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2018 | OriginalPaper | Chapter

Energy-Daylight Optimization of Louvers Design in Buildings

Authors : Ayca Kirimtat, Ondrej Krejcar

Published in: Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

Buildings around the world have been confronting too much energy consumption. On that account, architectural aspects have an important role to minimize this energy consumption. Overheating has become a current topic especially in summer with hot climates, since the use of large glazed facades have become prevalent. Thus, shading devices should be considered in the early stage of the design process to overcome this task. Since the design of a new shading device is a complicated architectural design problem, the presented problem can be tackled with real-parameter multi-objective optimization. The well-known and fast Non-Dominated Sorting Genetic Algorithm II so called NSGA-II was used to solve this complex design problem and identify alternative solutions to decision makers. An implementation of the method is presented, focusing on louvers design integrated to an office building in a hot-dry climate region.

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Metadata
Title
Energy-Daylight Optimization of Louvers Design in Buildings
Authors
Ayca Kirimtat
Ondrej Krejcar
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-98446-9_42

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