FACADE DESIGN OPTIMIZATION FOR DAYLIGHT WITH A SIMPLE GENETIC ALGORITHM
The aim of the present study was to determine the applicability of a genetic algorithm for the optimization of daylighting systems, as well as the requirements for the lighting simulations to be used. Furthermore, by testing the daylighting performance of a buildings fa(c)ade when several parameters are allowed to change simultaneously, the results were used as a complement of previous parametric studies. The goal of the optimization was to maximize energy savings by reducing visual discomfort while maintaining good daylight penetration. The results were obtained by dynamic simulations using Radiance. Discomfort glare produced by daylight was calculated for several viewpoints inside the building, adapting the blinds position accordingly for each time step tested. Fitness was defined as the proportion of the annual lighting requirements that can be replaced by daylight. The results show a fast convergence in the beginning, followed by a minimal improvement in subsequent generations. Several trials over 200 generations showed similar evolution and consistent results, suggesting that genetic algorithms can be used effectively for fa(c)ade design optimization considering daylight performance. Finally, some possible improvements and modifications are further discussed.
Optimization Daylight Dynamic Simulation Genetic Algorithm
Santiago L.Torres Yuzo Sakamoto
Ove Arup and Partners International, London, W1T 4BQ, United Kingdom Department of Architecture, Graduate School of Engineering, The University of Tokyo, 113-8654, Tokyo
国际会议
北京
英文
2007-09-03（万方平台首次上网日期，不代表论文的发表时间）