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Multi-Objective Optimization of External Louvers in Buildings

Tzu-Chia Chen1, Ngakan Ketut Acwin Dwijendra2, I. Wayan Parwata3, Agata Iwan Candra4, Elsayed M. Tag El Din5,*

1 Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City, 24301, Taiwan
2 Department of Architecture, Faculty of Engineering, Udayana University, Bali, 80361, Indonesia
3 Faculty of Engineering, Warmadewa University, Bali, Indonesia
4 Department of Civil Engineering, Faculty of Engineering, Kadiri University, Kediri, Indonesia
5 Electrical Engineering Department, Faculty of Engineering & Technology, Future University in Egypt, New Cairo, 11835, Egypt

* Corresponding Author: Elsayed M. Tag El Din. Email: email

Computers, Materials & Continua 2023, 75(1), 1305-1316. https://doi.org/10.32604/cmc.2023.033274

Abstract

Because solar energy is among the renewable energies, it has traditionally been used to provide lighting in buildings. When solar energy is effectively utilized during the day, the environment is not only more comfortable for users, but it also utilizes energy more efficiently for both heating and cooling purposes. Because of this, increasing the building’s energy efficiency requires first controlling the amount of light that enters the space. Considering that the only parts of the building that come into direct contact with the sun are the windows, it is essential to make use of louvers in order to regulate the amount of sunlight that enters the building. Through the use of Ant Colony Optimization (ACO), the purpose of this study is to estimate the proportions and technical specifications of external louvers, as well as to propose a model for designing the southern openings of educational space in order to maximize energy efficiency and intelligent consumption, as well as to ensure that the appropriate amount of light is provided. According to the findings of this research, the design of external louvers is heavily influenced by a total of five distinct aspects: the number of louvers, the depth of the louvers, the angle of rotation of the louvers, the distance between the louvers and the window, and the reflection coefficient of the louvers. The results of the 2067 simulated case study show that the best reflection rates of the louvers are between 0 and 15 percent, and the most optimal distance between the louvers and the window is in the range of 0 to 18 centimeters. Additionally, the results show that the best distance between the louvers and the window is in the range of 0 to 18 centimeters.

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APA Style
Chen, T., Dwijendra, N.K.A., Parwata, I.W., Candra, A.I., Din, E.M.T.E. (2023). Multi-objective optimization of external louvers in buildings. Computers, Materials & Continua, 75(1), 1305-1316. https://doi.org/10.32604/cmc.2023.033274
Vancouver Style
Chen T, Dwijendra NKA, Parwata IW, Candra AI, Din EMTE. Multi-objective optimization of external louvers in buildings. Comput Mater Contin. 2023;75(1):1305-1316 https://doi.org/10.32604/cmc.2023.033274
IEEE Style
T. Chen, N.K.A. Dwijendra, I.W. Parwata, A.I. Candra, and E.M.T.E. Din "Multi-Objective Optimization of External Louvers in Buildings," Comput. Mater. Contin., vol. 75, no. 1, pp. 1305-1316. 2023. https://doi.org/10.32604/cmc.2023.033274



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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