Selective Hydrogenation of Methylacetylene and Propadiene in an Industrial Process: A Multiobjective Optimization Approach

Abstract

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.

Investigation of Inherently Safer Design Through Process Intensification: Novel Safety Assessment Methodology and Case Study in C3–Alkyne Hydrogenation Distillation Process

“…To meet the specifications for subsequent polymerization processes, it is necessary to reduce the number of impurities. 27 The liquid-phase selective hydrogenation is a specific industrial method to removal the MAPD, 28 and the studied process for C 3 -alkyne hydrogenation distillation is shown in Figure 3.…”

Dynamic control of a selective hydrogenation process with undesired MAPD impurities in the C3-cut streams

“…In our approach, the input-output pairings are determined by open-loop tests. The ratio of two controlled variables and two manipulated variables as time approaching a large time are defined by K ij (τ ) = y i u j t→τ (12) where y i ∈ [x MAPD,out , T HE,out ] and u j ∈ [F H 2 , Q HE ].…”

“…Kinetic studies and optimization for an industrial selective hydrogenation process under the gas-liquid two phase condition was recently addressed [11,12]. Notably, the specification indicated that the outlet concentration of MAPD in the second MAPD converter should be less than 600 ppm, and the on-site plant data also showed that the catalyst deactivation problem is inevitable.…”

Estimation of Kinetic Parameters and Simulation of Methylacetylene and Propadiene Liquid-Phase Selective Hydrogenation Reactor Considering the Catalyst Deactivation

“…5 In another study, Wu et al designed the fuzzy-based multiobjective optimization to develop the operational strategy of the liquid-phase MA and PD hydrogenation reactor with regard to the ratios of H 2 to the MAPD molar ratio and the recycle flow. 6 Samimi et al provided the LH-HW kinetic rate equation based on a new reaction network and applied the differential evolution (DE) optimization technique to estimate the kinetic parameters from plant data. 7 They have performed a kinetic study assuming the gas−liquid flow in the trickle flow regime through the trickle bed reactor.…”

“…Wu et al have attempted to determine the kinetics of MA and PD selective hydrogenation in the liquid phase by fitting the plant data on the LH-HW model proposed in previous studies for the hydrogenation kinetics of MA and PD in the gas phase . In another study, Wu et al designed the fuzzy-based multiobjective optimization to develop the operational strategy of the liquid-phase MA and PD hydrogenation reactor with regard to the ratios of H 2 to the MAPD molar ratio and the recycle flow . Samimi et al provided the LH-HW kinetic rate equation based on a new reaction network and applied the differential evolution (DE) optimization technique to estimate the kinetic parameters from plant data .…”