基于多目标优化的平房仓节能设计方法—以河南地区为例
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作者单位:

1.河南工业大学建筑学院;2.河南工大设计研究院;3.河南濮阳皇甫国家粮食储备库有限公司

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TU111.1;TU249.2

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河南省粮油仓储建筑与安全重点实验室(2021KF-B04);河南省重点研发与推广专项项目(222102110272)


Energy-saving design method of grain warehouse based on multi-objective optimization-Taking Henan area as an example
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1.School of Architecture,Henan University of Technology;2.Design Research Institute of Henan University of Technology;3.Henan Puyang Huangfu National Grain Reserve Co Ltd

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    摘要:

    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(Model1和Model2)。与Model2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%

    Abstract:

    This study aims to weigh the contradiction between energy consumption and cost in the design stage of low-temperature grain warehouse. To achieve this goal, 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 (Model1 and Model2). Compared with Model2, 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.

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张华,叶俊雅,牛淑杰,等. 基于多目标优化的平房仓节能设计方法—以河南地区为例[J]. 科学技术与工程, , ():

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  • 收稿日期:2023-09-26
  • 最后修改日期:2024-05-18
  • 录用日期:2024-05-21
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