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.
In ethylene production units,the acetylene hydrogenation process converts acetylene into ethylene.However,the catalyst activity is affected by the formation of green oil impurities during the production processes.In this paper,we investigate the operational conditions of the tandem acetylene hydrogenation process and determine the optimal dynamic operation conditions to fulfill the selectivity and conversion rate requirements of the process even under the dynamic influence of green oil.To solve this dynamic optimization problem with constraints,we first utilize a discrete method to transform the problem into a finite-dimensional nonlinear programming problem.Then,we use a new differential evolution algorithm combined with an incremental encoding method to further optimize the solution to the nonlinear programming problem.We applied this method to an industrial tandem acetylene hydrogenation process and the results successfully demonstrate improvements in the overall operational efficiency.