Parametric Design as a Tool to Reduce Solar Penetration by Outdoor Shades in Hot Arid Climate

Conventional design methods and current tools infrequently link performance with the geometry of the design. These methods rarely enable backtracking through the design process and can't achieve full performance criteria. In this context, using both procedural geometry and information from numerical assessments and performance simulations should be discussed to support the search for effective solutions. Architects have gained control over the process of design by utilizing parametric methods to generate a sustainable design that interacts with sustainable, climatic, and environmental restrictions, particularly in hot arid zones where outdoor life is overlooked. This paper will discuss the performance-oriented design and a specific workflow empirical methodology that explores design alternatives of outdoor solar parametric shades for urban spaces with the aim of merging performance assessments in the initial phases of the design process to achieve maximum thermal comfort. This workflow includes parametric modelling using (Grasshopper) along with genetic algorithms (Galapagos), and the environmental tool (Ladybug). The design solutions were generated by evolutionary algorithms in accordance with the thermal performance requirements and simulations to evaluate their shading and thermal comfort efficiency. This will be illustrated through a case study of a bus stop static shade concentrating on the cladding of the geometry, especially on the solar radiation parameter. The study that will be discussed in this paper is a simulation study that will combine simulation techniques with a parametric approach and genetic algorithm optimization in a generative evaluation methodology for reducing the radiation under outdoor shades in hot dry climate areas. The optimum alternative /was determined based on the fitness value of incident radiation, and the process was iterated for a particular date and time.