基于全生命周期成本和碳排放量的绿色建筑设计优化研究

摘要

为了降低建筑全生命周期的成本和碳排放量,选用多目标粒子群优化算法(PSO),从墙体类型、窗墙比、玻璃类型、外部遮阳宽度、建筑朝向五个方面进行热环境和光环境模拟,并计算相应的建设成本和碳排放量,从而得到优化的绿色建筑设计方案.案例分析表明,基于PSO的绿色建筑设计优化方法能够有效节约建筑成本并降低建筑的碳排放量,最终实现经济效益和环境效益双赢的目标.%In order to reduce the life cycle cost(LCC)and life cycle carbon emissions(LCCE),the paper selects multi-objective particle swarm optimization(PSO),simulates daylight and thermal performances according to different wall types,window-to-wall ratio,glazing types,external sunshade,building orientations,and calculates the corresponding LCC and LCCE,finally gets the best green building design scheme. Results show that this model can effectively reduce amount of LCC and LCCE especially in LCC,which is helpful for designers to deliver an economic and environmental-friendly design scheme.