摘要
低温甲醇洗作为脱除酸性气体、提纯氢气的工艺方法被广泛采用,但该工艺存在能耗大、操作成本高等问题,这在低温甲醇洗装置的脱酸气吸收剂回收系统上尤为突出。为此,以脱酸气吸收剂回收系统作为研究对象,采用Aspen Plus对该系统进行流程建模,在80%焦+20%煤炭的进料条件下,关键参数的模拟结果与工厂实际数据间的相对误差均小于5%,验证了模型的可靠性。选取热再生塔质量回流比、热再生塔塔顶采出量和甲醇水分离塔塔顶采出量作为优化变量,年总公用工程费用和循环甲醇中H_2S含量为优化目标,建立了Python与Aspen Plus联用的多目标优化框架,并采用非支配排序遗传算法(NSGA-Ⅱ)对脱酸气吸收剂回收系统进行多目标优化。采用本文的方法对3种进料配比的工况(100%焦、80%焦+20%煤炭、100%煤炭)进行优化,结果表明,随着进料中焦占比减小,原料中H_2S含量减少,操作条件中热再生塔质量回流比增大,热再生塔塔顶采出量减小,甲醇水分离塔塔顶采出量先变大后减小,年总公用工程费用和循环甲醇中H_2S含量均降低。研究结果可为进料配比变化情况下脱酸气吸收剂回收系统的操作参数变更提供决策依据。
The Rectisol process is widely used for removing acidic gases and purifying hydrogen.However,this process has problems such as high energy consumption and operating costs,which is particularly prominent in the deacidification gas absorbent recovery system of Rectisol devices.Therefore,taking the absorbent recovery system of deacidification gas as the research object,Aspen Plus was used to model the process.Under the feed condition of 80%coke+20%coal,the relative errors between the simulation results and the factory’s actual data for key parameters were less than 5%,which verified the reliability of the model.The mass reflux ratio of the thermal regen-eration tower,the top output of the thermal regeneration tower,and the top output of the methanol-water separation tower were selected as the optimization variables,and the annual total utility cost and the H2S content in the circu-lating methanol were selected as the optimization objectives.A multi-objective optimization framework based on a combination of Python and Aspen Plus was established,and the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)was used to optimize the deacidification gas absorbent recovery system.The method was used to opti-mize the working conditions for three feed ratios(100%coke,80%coke+20%coal,100%coal).The results show that as the proportion of coke in the feed decreases,the H2S content in the raw material decreases,the mass reflux ratio of the thermal regeneration tower increases,the top output of the thermal regeneration tower decreases,and the top output of the methanol-water separation tower initially increases and then decreases.The total annual util-ity cost and the H2S content in the circulating methanol are reduced.The results can provide a basis for changing the operating parameters of the deacidification gas absorbent recovery system when changing the feed ratio.
作者
王昊
杜增智
WANG Hao;DU ZengZhi(Center for Process Simulation&Optimization,Beijing University of Chemical Technology,Beijing 100029,China;College of Chemical Engineering,Beijing University of Chemical Technology,Beijing 100029,China)
出处
《北京化工大学学报(自然科学版)》
北大核心
2025年第3期26-33,共8页
Journal of Beijing University of Chemical Technology(Natural Science Edition)
关键词
低温甲醇洗
NSGA-Ⅱ
多目标优化
操作优化
流程模拟
Rectisol
NSGA-Ⅱ
multi-objective optimization
operational optimization
process simulation
