Parametric Design Optimization in Sustainable Urban Design: In Hot Climate
The British University in Dubai (BUiD)
The aim of this research is to investigate the potentials of applying parametric design optimizations processes over the conventional urban design processes in a achieving a more sustainable urban design, and incorporating the computer and computational design methodologies in the design process and to give the computer a more active role in the design process and not just a drafting or visualizing tool. The benefits that could come to architects and urban designer from adopting such methodologies in enhancing the process of design to cope with the more demanding global energy and resources crisis that we are facing nowadays . This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. The research investigate and study The viability of computational design and the current-state of the-art computer tools in achieving an optimized parametric design like, Grasshopper, Radiance, Energy plus and ANSYS CFX. The suggested methodology is applied to real life urban scale to investigate the applicability of parametric design optimization tools on urban scale and their potentials. The application of suggested methodologies on real life case put it under test to evaluate its viability, precise of prediction and the outcome benefits to the practical current urban design processes. This research aims also to investigate the applicability and integration of the proposed methodologies within the current conventional urban design methodologies by investigating parameters and urban morphologies which are available and common in the conventional urban design which makes these methodologies less burden on the design team when applied.
parametric design optimization, sustainable urban design, hot climate