A Study on Optimization of Passive Design on Housing using Genetic Algorithms

This research aims at proposing a new method of designing low energy houses by optimizing passive design using genetic algorithms with thermal load simulation. In addition, validity of the method must be clarified by some simulation studies. We made a program of genetic algorithms to grope for optimum combination of various passive techniques. The elements which change in simulation were type and size of window, window roof, wing wall and thickness of insulating material in wall. In this paper we focused on south and west walls. We repeated the simulations changing conditions of the room model and confirmed that the best passive design differs from one to another