Building Arrangement Optimization for Urban Ventilation Potential Using Genetic Algorithm and CFD Simulation

摘要: In this study, we developed a computation-al fluid dynamics (CFD)-based method to optimize the arrangement of buildings for urban ventilation potential at conceptual design stage and demonstrated its application in case study. For CFD-based optimization, three calculation components must be assembled: an optimizer, geometry/mesh generator, CFD solver. The optimizer solves optimization problem, which comprises variables, objective functions, constraints functions. generator creates building geometry (i.e., vertices, faces, cells) that satisfies variables generated converts them into mesh file compatible with solver, assigns boundary condition. solver is used calculate return value function optimizer. local kinetic energy (KE) target area was employed as function. KE parameter precisely evaluate convective effects wind calculated from turbulent averaged velocity components. results showed genetic algorithm enables provide options designers less negatively affect surrounding area.