Shape optimization during design for improving outdoor wind comfort and solar radiation in cities

Abstract

This paper delivers an idea of weather-based optimization as a sustainable design strategy addressing the changing climate. An environment-driven design technique is introduced and tested at the urban and architectural scale. Utilizing the interplay between the architectural intention and weather influences (specifically solar radiation and wind effects), the optimal design solution for the urban configuration and architectural shape emerges. An exploratory case study near the amphitheater in Kosice, Slovakia, demonstrates the proposed approach. Through the real-time iterative analysis of the environmental performance of multiple design variants, an urban concept of offices/apartment blocks, reacting to the local wind and sun situation, is formed. The wind flow situation and comfort are investigated in a design loop, blending the newly developed AI-driven simulation prediction models of InFraRed11InFraRed: AI-based real-time analysis of wind, sun, and thermal comfort in the streets developed by the CIL of the AIT in Vienna, Austria. and the sun hours analysis in Ladybug with the Galapagos optimization within Grasshopper. The final step of this method is the design and subsequent wind and sun analysis of fluid-shaped lamellae in three variants acting as wind catchers/shading systems. Improved pedestrian wind comfort for outdoor sitting (more than 30% increase in areas suitable for short and prolonged sitting) and optimum sunlight hours (25% gain in sunlight during winter solstice) is achieved using the proposed technique.