基于遗传算法的绿色建筑优化设计

建筑师在实际运用建筑节能设计标准过程中感觉标准较复杂、不方便。将遗传算法在多目标优化设计中的优势与建筑能耗仿真软件结合起来,建立一套绿色建筑优化设计方法或模型。以武汉地区住宅建筑为例,在最低能耗与最低成本的目标控制下,同时,优化设计建筑朝向、窗墙比、外墙构造、屋面构造、采暖温度设定点、空调温度设定点、遮阳系数、窗户玻璃类型的组合因素。将优化结果与现有绿色节能建筑设计规范进行对比,给出了绿色建筑设计中部分参数的新的参考值。

Green Building Design Optimization Based on Genetic Algorithm Approach

Many architects feel that building energy standards are complex and inconvenient in designing green buildings . Considering the advantages of using genetic-algorithm in multi-objective optimization, the genetic algorithm is combined with building energy simulation software for green building design optimization. A typical residential building in Wuhan is selected for study. A number of parameters, including building orientation , window-to-wall ratio , compositions of external wall and roof structure , heating temperature set points, cooling temperature set points, shading factor and glazing type, are selected to reduce the building energy consumption and minimize the construction cost. The outcomes from the optimization are compared with current green building design guideline, and new values for a number of parameters are suggested to be utilized for design reference.