Abstract
Window's external shading is playing a major role in preventing unwanted direct solar gain. Thus, the main objectives of this study are to optimize the fixed windows' shading type (overhang with sided-fins, simple overhang, and louvers) for the four main orientations (East, West, North, and South) using Genetic Algorithm (GA). The findings show savings in East by 27%, 25%, and 24% for the overhang with sided-fins, simple overhang and louvers respectively. Therefore, to select among the optimum energy efficient solutions, climate-based daylighting metrics were utilized to assess the daylighting availability. The other orientation were straightforward were the results in favor of overhang with sided-fins.
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CITATION STYLE
Alajmi, A. F., Abaalkhail, F., & Alanezi, A. (2019). Climate-based daylighting metrics assessment to select among optimum energy efficient windows’ shading devices solutions: A case study of an office in a hot climate. In Building Simulation Conference Proceedings (Vol. 2, pp. 1114–1120). International Building Performance Simulation Association. https://doi.org/10.26868/25222708.2019.210785
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