Abstract: Since the activity and selectivity of acetylene hydrogenation catalyst change with time,the operating parameters need to be changed to maximize the profit.Therefore,we collected the industrial process data and estimated the parameters of kinetic model and deactivation model by genetic algorithm.We compared the selectivity and activity performance of two commonly used catalysts.For two reactors in series filled with different catalysts,we proposed the methods of combinatorial optimization and ratio assignment to optimal ethylene production rate.When these optimization strategies were implemented in the actual plant,ethylene production rate and the total selectivity increased significantly.

Key words: acetylene hydrogenation, deactivation;parameter estimation;combinatorial optimization, ratio assignment

摘要： 乙炔加氢反应催化剂的活性与选择性随着使用时间变化而变化，操作参数需要相应的改变从而使得收益最大化。因此本文采集工业数据，通过遗传算法拟合了反应动力学模型和失活反应模型的参数；比较了国内最普遍使用的两种催化剂的选择性和活性保持方面的性能；针对串联使用的两台装填不同催化剂的反应器组合，以运行周期、乙烯产率最优为评价标准，提出了反应器3种组合优化、负荷分配优化等优化策略。将优化策略应用于实际工业装置的分析与运行，乙烯产率和总选择性提高，效果得到验证。

关键词: 碳二加氢, 失活, 参数拟合, 组合优化, 负荷分配