(686a) Analysis and Optimization of Cyclopentadiene Dimerization Using Reactive-Distillation Modeling
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Process Development Division
Novel Processes and Concepts
Thursday, November 19, 2020 - 8:00am to 8:15am
A process model is developed in process flowsheeting software for CPD/DCPD recovery from other C5 hydrocarbons. A comprehensive kinetic model containing reactions of CPD with other C5 hydrocarbons including 1-pentene, 2-pentene, 1,3-pentadiene (piperylene), 2-methyl-1-butene, 2-methyl-2-butene, 2-methyl-1,3-butadiene (isoprene), and cyclopentene, and dimerization of piperylene and isoprene is used. Several isomers of these co-dimers were included in the kinetic model. The kinetic model was incorporated into recovery columns, dimerizer, etc. These recovery towers were modeled using reactive distillation model. Simulations were executed and sensitivity analysis was performed with respect to operating pressure and temperature, and residence times.
As the dimerization reaction rate is proportional to composition squared, co-dimers of only those monomers present in significant concentrations impacted final DCPD product purity. A shift in the purity is also observed based on the initial feed composition. The results show a trade-off between DCPD yield and purity. DCPD formation is limited by CPD-DCPD equilibrium which favors DCPD at low temperature but the rate of formation increases with temperature. Although higher DCPD yield can be achieved at high temperature for small residence time or low temperature with large residence time, the concentration of other co-dimers also increased. Sensitivity analysis on temperature and pressure provided more insights into a desirable operating zone.
This work demonstrates process intensification and modeling capabilities that enable optimal process design and product development. A reactive-distillation model results in more accurate prediction of product yield and purity. A sensitivity analysis helps in evaluating the operating conditions for the desired objective.