为了权衡低温粮仓设计阶段能耗和成本之间的矛盾，基于Rhino-Grasshopper参数化设计工具，构建了平房仓多目标优化设计平台。优化过程包括四个流程：参数化建模、优化变量参数设定、优化目标函数设定及优化和多目标决策。以河南地区某平房仓为例进行平台应用，得到了平房仓多目标优化设计的最优解集。结果表明，优化后粮仓的制冷能耗和成本均优于基准建筑。与改造后的平房仓相比，能耗最优解、均衡解和成本最优解设计方案的制冷能耗分别降低了70%、63.33%和38.67%，全生命周期成本分别降低了32.92%、49.43%和53.29%。

In order to weigh the contradiction between energy consumption and cost in the design stage of low-temperature grain warehouse, a multi-objective optimization design platform for grain warehouse was constructed using the Rhino-Grasshopper parametric design tool. The optimization process comprises four stages: parametric modeling, setting of optimization variable parameters, establishment of the optimization objective, and multi-objective decision-making. Taking a grain warehouse in Henan region as an example, the platform was applied to obtain the optimal solution set for multi-objective optimization design. The results show that the optimized grain warehouse provides lower cooling energy consumption and cost than the reference buildings. Compared with the renovated grain warehouse, the refrigeration energy consumption is reduced by 70%, 63.33% and 38.67% for the energy-optimized, balanced and cost-optimized designs, respectively, and the whole life cycle cost is reduced by 32.92%, 49.43% and 53.29%, respectively.