摘要
本文借助不确定性及敏感性分析手段,对单循环混合冷剂制冷过程进行分析,获得各输入参数变化情况下混合冷剂制冷过程能耗的变化范围以及各参数对能耗影响的程度,为混合冷剂制冷循环流程分析提供指导。借助Python最优化算法对工艺流程参数进行优化,优化后最低能耗值为28497.74 kW。
This research uses uncertainty and sensitivity analysis methods on the mixed refrigerant refrigeration process,obtaining the range of energy consumption under the change of various input parameters and the influence of each parameter on energy consumption,providing guidance for the analysis of mixed refrigerant refrigeration processes.With the help of Python optimization algorithms,the process parameters were optimized,and the minimum energy consumption after optimization was 28497.74 kW.
作者
朱传琪
温润娟
马芳
Zhu Chuanqi;Wen Runjuan;Ma Fang(China Energy Group Ningxia Coal Industry Co.,Ltd.Institute of Coal Chemical Industry Technology,Yinchuan 754011)
出处
《石化技术》
CAS
2023年第12期18-20,共3页
Petrochemical Industry Technology
基金
国家能源集团科技创新项目:煤炭间接液化费托合成尾气资源化制LNG工艺技术开发及工业化示范项目编号:(GJNY-23-52)的研究成果。
关键词
混合冷剂制冷
不确定性分析
敏感性分析
参数优化
Mixed refrigerant process
Uncertainty analysis
Sensitivity analysis
Parameter optimization
