串联型乙炔加氢反应过程的动态优化

发布时间：2018-06-04 07:51

本文选题：乙炔加氢 + 动态优化　；参考：《信息与控制》2017年01期

【摘要】：乙烯装置的乙炔加氢反应系统旨在将裂解气中的副产品乙炔进一步转化为乙烯产品.但在实际运行过程中,产生的绿油杂质对催化剂的活性将产生较强的影响.本文主要研究两段串联型乙炔加氢反应器的运行条件,并寻优出当催化剂活性处于动态失活的前提下,保持整个反应过程的最佳选择性和最佳转化率的系统最优运行条件.本系统的实时优化过程主要涉及到了运行条件的各项约束和催化剂活性不确定性的两大难点.针对此动态系统的带约束优化问题,本文先使用离散方法将动态优化问题转变为对有限维非线性的规划问题,然后再利用具有约束处理机制的差分进化算法和增量式编码法进行求解.通过将上述优化方法应用于实际的串联型乙炔加氢反应过程进行验证,优化结果证实了本动态优化系统的有效性.
[Abstract]:The acetylene hydrogenation reaction system of ethylene plant aims to further transform acetylene, a by-product of cracking gas, into ethylene products. However, in the actual operation process, the green oil impurities will have a strong effect on the activity of the catalyst. In this paper, the operating conditions of two-stage series acetylene hydrogenation reactor are studied, and the optimal operating conditions of the system for maintaining the optimum selectivity and conversion of the whole reaction process are found when the catalyst activity is in dynamic deactivation. The real-time optimization process of the system mainly involves the constraints of operation conditions and the uncertainty of catalyst activity. For the constrained optimization problem of the dynamic system, the discrete method is first used to transform the dynamic optimization problem into a finite dimensional nonlinear programming problem. Then the differential evolutionary algorithm with constraint processing mechanism and incremental coding method are used to solve the problem. The effectiveness of the dynamic optimization system is verified by applying the above optimization method to the actual series hydrogenation process of acetylene.
【作者单位】：华东理工大学信息科学与工程学院化工过程先进控制和优化技术教育部重点实验室;江苏大学电气信息工程学院;
【基金】：国家自然科学基金优秀青年基金资助项目(61422303);国家自然科学基金青年项目(61403141) 上海市“科技创新行动计划”研发平台建设项目(13DZ2295300) 上海市教育委员会和上海市教育发展基金会“曙光计划”资助项目江苏省自然科学基金资助项目(BK20160540)
【分类号】：TQ203;TP18

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