Parametric Mashrabiya as a Shading System for Optimized Daylighting in Egypt | ||||
Engineering Research Journal | ||||
Volume 177, Issue 0, March 2023, Page 212-230 PDF (747.33 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/erj.2023.289551 | ||||
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Authors | ||||
Marwa Kamal Fahmy* 1; Moemen Elsoudany2; Basma Gaber3 | ||||
1Architectural Engineering Department, Faculty of Engineering, Helwan University, Ibrahim Abdel-Razik St., Ain Shams | ||||
2Architectural Engineering Department, Faculty of Engineering, Al Mansoura University | ||||
3architectural engineering department , faculty of engineering , al mansoura university | ||||
Abstract | ||||
The major drawback in hot climate zones is the high intensity of solar radiation, which produces undesired solar heat gain and influences indoor daylighting dispet the advantage of having enough natural lighting. Several attempts have been made to use Mashrabiya as an environmentally friendly architectural design element. This study presents a new methodology for optimizing parameters of parametric Mashrabiya oriented to the west in a hot arid climate in Cairo, Egypt. The study concentrates on the pattern parameters (Lattice) in the body part of the Mashrabiya, so it uses parametric design and simulation techniques to reach an optimal geometrical parameter for the patterns, which enhances the indoor daylighting and builds an Associative model for the Mashrabiya. The study also aims to investigate the influence of each parameter to find effective parameters on daylighting. Grasshopper for Rhino is used to generate the parametric variations. Ladybug and honeybee -Grasshopper plugins- for daylighting simulation. The methodology includes field experiments and simulation. The result of the study shows a significant impact of some parameters rather than others. Some cases achieve the required daylighting, which proves the advantage of using parametric Mashrabiya in façade treatment for sufficient daylighting in hot arid climates. | ||||
Keywords | ||||
parametric Mashrabiya; Daylighting; Optimization; Associative model | ||||
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