Genetic Algorithm Based Building Form Optimization Study for Natural Ventilation Potential

Building form is one of the most critical factors influencing natural ventilation potential in an urban context, and thus has a significant impact on building energy consumption. This paper describes a genetic algorithm based building form optimization methodology that could respond to urban wind environments and achieve the highest natural ventilation potential. To accomplish this goal, scripts in Rhino Grasshopper were developed. The scripts employed a CFD simulation program to evaluate the pressure distribution on the investigated building’s façades. A genetic algorithm was used to optimize the building form that led to a higher natural ventilation potential. The methodology introduced in this paper would provide designers with more information regarding natural ventilation, allowing for a betterinformed decision-making process in the early design stages. The paper also provides a case study demonstrating the process and possible issues with the methodology.