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作 者:丁诗竣 王彦娟[1] 李勃呈 白金[1] 张健[1] 董宏光[3] Ding Shijun;Wang Yanjuan;Li Bocheng;Bai Jin;Zhang Jian;Dong Hongguang(College of Petrochemical Engineering,Liaoning Petrochemical University,Fushun,Liaoning 113001;PetroChina Liaoyang Petrochemical Company;School of Chemical Engineering,Dalian University of Technology)
机构地区:[1]辽宁石油化工大学石油化工学院,辽宁抚顺113001 [2]中国石油辽阳石化分公司 [3]大连理工大学化工学院
出 处:《石油炼制与化工》2025年第3期142-147,共6页Petroleum Processing and Petrochemicals
基 金:教育部产学合作协同育人项目(221004650123048)。
摘 要:以某处理能力为160 kt/a的气体分馏工艺流程中的脱丙烷单元为研究对象,利用Python的接口功能实现了Aspen Plus稳态模型和遗传算法的耦合,进而完成了对脱丙烷单元操作参数的优化。在符合产品纯度要求的条件下,用高、低压双塔脱丙烷工艺替代原流程单塔脱丙烷工艺,并将高、低压脱丙烷塔的运行成本作为目标函数,将流程中的高、低压双塔的塔底热流流量(高压脱丙烷塔的热水消耗量和低压脱丙烷塔的蒸汽消耗量)作为决策变量,对高、低压脱丙烷单元的操作参数进行优化。结果表明:在高、低压双塔塔板数分别为68和80、进料塔板编号分别为19和36、回流比分别为3.0和4.6时,该气体分馏装置的高压脱丙烷塔热水负荷降低36%,低压脱丙烷塔蒸汽负荷降低19%,装置运行成本从554万元a降至335万元a。Taking the depropanization unit in a gas separation process with a processing capacity of 160 kt/a as the research object,the coupling of Aspen Plus steady-state model and genetic algorithm is realized by using the interface function of Python,and then the operation parameters of depropanization unit are optimized.Under the condition of meeting the product purity requirements,the original single-tower depropanization process was replaced by the double-tower depropanization process.The operation cost of the double depropanizer was taken as the objective function.The hot water consumption of the high-pressure depropanizer and the steam consumption of the low-pressure depropanizer were taken as the decision variables to optimize the operation parameters of the depropanization unit.The results show that when the plates quantity of high-pressure and low-pressure depropanizer is 68 and 80,the feeding plate number is 19 and 36,and the reflux ratio is 3.0 and 4.6,respectively,the hot water load of the high-pressure depropanizer of the gas fractionation unit is reduced by 36%,and the steam load of the low-pressure depropanizer is reduced by 19%.The annual operating cost of the unit is reduced from 5.54 million yuan per year to 3.35 million yuan per year.
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