文献类型：期刊文献

中文题名：基于液化石油气的裂解过程建模与优化

英文题名：Modeling and optimization of cracking process for LPG feedstock

作者：盛杰[1];金阳坤[1];李进龙[1];钱锋[1];王哲[2]

机构：[1]华东理工大学化工过程先进控制与优化技术教育部重点实验室,上海200237;[2]上海石油化工股份有限公司烯烃部,上海200540

年份：2013

卷号：30

期号：11

起止页码：1278

中文期刊名：计算机与应用化学

外文期刊名：Computers and Applied Chemistry

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：国家自然科学基金项目(U1162202,21276078,21206037);国家高技术研究发展计划(863)资助项目(2012AA040307);中央高校基本科研业务费专项资金资助;上海市科技攻关项目(12dz1125100);上海市重点学科建设项目(B504)

语种：中文

中文关键词：LPG;操作条件;PSOBP;裂解炉

外文关键词：LPG;operating conditions;PSOBP;cracking furnace

摘要：随着乙烯裂解原料日趋多样化,液化石油气(LPG)的使用比重逐渐增大,而对于以LPG为原料的裂解过程建模与优化研究却较少,因此本文对以LPG为裂解原料的裂解过程进行建模与优化研究。利用裂解机理模拟LPG裂解过程,该过程同时考虑裂解原料的组分变化和操作条件变化对关键裂解产品收率的影响,然后根据实验设计原理产生适量仿真数据,建立了以原料组成与操作条件为输入、关键裂解产品收率为输出的PSOBP神经网络收率模型。通过模型验证,得到工业现场丙烯乙烯比值与本文模型预测得到的丙烯乙烯比的平均相对误差仅为2.142%。基于该模型利用PSO算法对LPG原料组成与操作条件进行优化,得到裂解产品总收益最大的LPG原料组成分布和操作条件,优化后的产品总效益为23.5524万元h^(-1)。
With ethylene cracking raw materials becoming increasingly diversified,the use of liquefied petroleum gas(LPG)is increasing gradually,but the research of modeling and optimization of cracking process for LPG feedstock is less.In this paper,the LPG was used as the cracking feedstock and the cracking progress was used for modeling and optimization.The LPG cracking progress was simulated by cracking mechanism,the progress took the changes of the cracking feedstock composition and operating conditions into aecout,and generated amount of simulation data.The PSOBP neural network modeling method was used to establish a model with the input of raw material composition and operating conditions,by the model validation,average absolute relative deviation of industrial PE ratio and the model predicted PE ratio is only 2.142%.Finally,LPG feedstock composition and operating conditions are optimized by PSO optimization algorithm and the maximum yield of decomposition products and the optimized operation conditions are obtained,the total optimized products value is 235.524 thousand yuan per hour.