An industrial selective hydrogenation process for methylacetylene (MA) and propadiene (PD), consisting of two hydrogenation reactors, a separator drum, and a recycle design, is investigated. Based on the Langmuir-Hinshelwood/Hougen-Watson kinetic model and the on-site plant data, the system identification is accomplished by using nonlinear regression technique. Through dynamic simulation of each reactor, the effect of catalyst deactivation by green oil and the degree of vaporization are verified. To reduce the impurity of C 3 -cut stream and improve the catalyst deactivation, the feasible operating manner depends on the determination of H 2 /MAPD molar ratios at each reactor and recycle ratio.
An industrial selective hydrogenation process for methylacetylene (MA) and propadiene (PD) that is mainly composed of two hydrogenation reactors, a separator drum, and a recycle design is presented. According to the specific requirements on the product yield as well as degree of MAPD removal, the optimal operating strategy depends on multiple conflicting objectives for the MAPD conversion and the propylene (PP) selectivity. For the multiobjective optimization algorithm subject to prescribed process constraints, the Pareto-optimal solution is obtained via the fuzzy-based membership function and two-phase procedure. Finally, the simulation shows that the desired operating condition regarding ratios of H 2 to MAPD at each reactor and the recycle ratio is determined.
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