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作 者:吴德爽 王彦娟[1] 李震 白金[1] 张健[1] 董宏光[3] WU Deshuang;WANG Yanjuan;LI Zhen;BAI Jin;ZHANG Jian;DONG Hongguang(College of Petrochemical Engineering,Liaoning Petrochemical University,Fushun 113001,China;China Petroleum Engineering&Construction CORP.,North China Company,Renqiu 062550,China;School of Chemical Engineering,Dalian University of Technology,Dalian 116033,China)
机构地区:[1]辽宁石油化工大学石油化工学院,辽宁抚顺113001 [2]中国石油工程建设有限公司华北分公司,河北任丘062550 [3]大连理工大学化工学院,辽宁大连116033
出 处:《石油化工》2025年第2期213-219,共7页Petrochemical Technology
摘 要:以磷酸三甲酯(TMP)为萃取剂,基于Aspen Plus流程模拟软件研究了2-甲基-2-丁烯腈(2M2BN)与2-甲基-3-丁烯腈(2M3BN)的萃取精馏过程,并分别构建了双塔萃取精馏模型和分壁式萃取精馏塔模型;先运用灵敏度分析对分壁式萃取精馏塔的操作条件予以考察,再通过正交设计对灵敏度分析结果进行优化。确定分壁式萃取精馏塔的最佳参数为主塔理论板数40、摩尔回流比3.4、萃取剂与原料进料位置分别为第11和21块塔板、溶剂比2.5、侧线采出位置为第33块塔板、侧线采出量为400 kg/h。模拟结果表明,在相同进料条件和产品分离纯度要求下,与双塔萃取精馏相比,分壁式萃取精馏塔冷凝器节约能耗为16.64%,再沸器节约能耗为13.80%。Based on Aspen Plus process simulation software,trimethyl phosphate(TMP)was selected as the extractive agent to simulate the extractive distillation processes of 2-methyl-2-butenonitrile(2M2BN)and 2-methyl-3-butenonitrile(2M3BN),and twin-column extractive distillation model and dividing wall column model were constructed,respectively.Sensitivity analysis was used to investigate the operating conditions of the dividing wall column.Through orthogonal design,the sensitivity analysis results were optimized to determine the best parameters of the dividing wall column as follows:the theoretical number of plates in the main column was 40;the molar reflux ratio was 3.4;the extractive agent and raw material feeding position were the 11th and 21st plates;the solvent ratio was 2.5;the side line production position was the 33rd plate,and the side line production volume was 400 kg/h.The simulation results show that under the same feeding conditions and product separation purity requirements,the energy saving of the condenser and the reboiler of the dividing wall column is 16.64%and 13.80%,respectively compared with those of the twin-column extractive distillation model.
关 键 词:分壁式萃取精馏 2-甲基-2-丁烯腈 2-甲基-3-丁烯腈 模拟优化 节能
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