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作 者:Mingyuan Hu Hui Tian
机构地区:[1]College of Chemistry and Chemical Engineering,Yantai University,Yantai 264005,China [2]Collaborative Innovation Center of Comprehensive Utilization of Light Hydrocarbon Resource,Yantai University,Yantai 264005,China
出 处:《Chinese Journal of Chemical Engineering》2021年第12期96-105,共10页中国化学工程学报(英文版)
基 金:the Natural Science Foundation of Shandong Province China (ZR2017QB006);Focus on Research and Development Plan in Yantai city (2018XSCC038);the Qingchuang Science and Technology Plan Innovation Team of Shandong Province (2019KJC012)。
摘 要:Cyclohexanol is a commonly used organic compound.Currently,the most promising industrial process for synthesizing cyclohexanol,by cyclohexene hydration,suffers from a low conversion rate and difficult separation.In this paper,a three-column process for catalytic distillation applicable in the hydration of cyclohexene to cyclohexanol was established to solve these.Simulation with Aspen Plus shows that the process has good advantages,the conversion of cyclohexene reached 99.3%,and the product purity was>99.2%.The stable operation of the distillation system requires a good control scheme.The design of the control scheme is very important.However,at present,the reactive distillation process for cyclohexene hydration is under investigation experimentally and by steady-state simulation.Therefore,three different plant-wide control schemes were established(CS1,CS2,CS3) and the position of temperature sensitive stage was selected by using sensitivity analysis method and singular value decomposition method.The Tyreus-Luyben empirical tuning method was used to tune the controller parameters.Finally,Aspen Dynamics simulation software was used to evaluate the performance of the three control schemes.By introducing ΔF±20% and χ_(ENE)±5%,comparison the changes in product purity and yield of the three different control schemes.By comparison,we can see that the control scheme CS3 has the best performance.
关 键 词:Cyclohexene hydration Catalytic distillation Control schemes Dynamic Simulation
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