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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Acknowledgement
The work and the contribution were supported by the SPEV project “Smart Solutions in Ubiquitous Computing Environments”, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic (under ID: UHK-FIM-SPEV-2018).
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Kirimtat, A., Krejcar, O. (2018). Energy-Daylight Optimization of Louvers Design in Buildings. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11056. Springer, Cham. https://doi.org/10.1007/978-3-319-98446-9_42
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DOI: https://doi.org/10.1007/978-3-319-98446-9_42
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