A Novel Radial-Flow, Spherical-Bed Reactor Concept for Methanol Synthesis in the Presence of Catalyst Deactivation

2008 ◽  
Vol 31 (11) ◽  
pp. 1615-1629 ◽  
Author(s):  
M. R. Rahimpour ◽  
A. Abbasloo ◽  
J. Sayyad Amin
Keyword(s):  
Methanol Synthesis ◽  
Radial Flow ◽  
Catalyst Deactivation

A Novel Reactor Configuration for Industrial Methanol Production From the Synthesis Gas

2018 ◽  
Vol 141 (4) ◽  
Author(s):  
Payam Parvasi ◽  
Seyyed Mohammad Jokar
Keyword(s):  
Methanol Synthesis ◽  
Radial Flow ◽  
Cooling Water ◽  
Packed Bed ◽  
Optimization Methods ◽  
Packed Bed Reactor ◽  
Flow Reactors ◽  
Methanol Production ◽  
Reactor Models ◽  
The Cost

In this work, the methanol synthesis on a commercial industrial catalyst in a novel cylindrical radial flow packed-bed reactor is investigated. The adiabatic and nonadiabatic cylindrical radial flow reactors were proposed and modeled in this research. The proposed configuration has been compared with conventional reactor for methanol production. It leads to higher methanol production and lower pressure drop, with the same catalyst consumption. Furthermore, the results show that the nonadiabatic radial flow packed-bed reactor has a higher methanol content compared with the adiabatic one. The improvement in methanol production was studied by optimizing the essential parameters such as inlet temperatures of the feed and cooling water as well as the number of cooling tubes. The nonlinearity and complexity of the reactor models make the traditional optimization methods ineffective and improbable. Therefore, the process was optimized by genetic algorithm (GA) method, which is one of the most powerful methods. The optimum values for the number of cooling tubes, feed and cooling water temperatures were 308, 507.6 K, and 522.43 K, respectively. The optimization results showed that a new reactor design could be proposed to reduce the cost of methanol synthesis.

scholarly journals Dynamic optimization of methanol synthesis section in the dual type configuration to increase methanol production

2019 ◽  
Vol 74 ◽  
pp. 90
Author(s):  
Samane Masoudi ◽  
Mohammad Farsi ◽  
Mohammad Reza Rahimpour
Keyword(s):  
Dynamic Optimization ◽  
Methanol Synthesis ◽  
Catalyst Deactivation ◽  
Dynamic Condition ◽  
Production Capacity ◽  
Operating Conditions ◽  
Second Step ◽  
Methanol Production ◽  
Equilibrium Conversion ◽  
Plant Data

The main object of this research is dynamic modeling and optimization of the methanol synthesis section in the dual type configuration considering catalyst deactivation to improve methanol production capacity. In the methanol unit, deactivation of CuO/ZnO/Al2O3 catalyst by sintering and low equilibrium conversion of reactions limit the production capacity, and changing operating temperature is a practical solution to overcome the production decay. In the first step, the considered process is modeled based on the mass and energy balance equations at dynamic condition. To prove the accuracy of developed model, the simulation results are compared with the plant data at the same operating conditions. In the second step, a dynamic optimization problem is formulated, and the optimal trajectories of manipulated variables are determined considering methanol production rate as the objective function. Finally, the performance of optimized process is compared with the conventional system at the same design conditions. The results show that operating at the optimal conditions increases methanol production capacity about 6.45%.

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