A Novel Radial-Flow, Spherical Packed Bed Reactor for the Hydrocracking Process

2015 ◽  
Vol 54 (6) ◽  
pp. 1748-1754 ◽  
Author(s):  
D. Iranshahi ◽  
A. Bakhshi Ani
Author(s):  
John C Telotte ◽  
Jesse Kern ◽  
Srinivas Palanki

In this paper, the design of a miniaturized methanol reformer is considered that can operate in two different modes to produce sufficient hydrogen for generating a net power of 24 W and 72 W. The reformer is modeled as a radial flow packed bed reactor and the Ergun equation is used to model the pressure drop. Simulation studies are conducted to study the effect of steam to methanol ratio, inlet pressure and reactor temperature on the production of hydrogen. It is shown that a volume of 20 ml is required to produce sufficient hydrogen for generating the necessary power if an inlet pressure of 202 kPa and a steam to methanol ratio of 1.5 is used. A temperature of 500 K is required for the lower power application while a temperature of 550 K is required for the higher power application.


2018 ◽  
Vol 141 (4) ◽  
Author(s):  
Payam Parvasi ◽  
Seyyed Mohammad Jokar

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.


1997 ◽  
Vol 83 (5) ◽  
pp. 443-450 ◽  
Author(s):  
Maki Motobu ◽  
Shigeru Matsuo ◽  
Pi-Chao Wang ◽  
Hiroshi Kataoka ◽  
Masatoshi Matsumura

2021 ◽  
Vol 407 ◽  
pp. 127065
Author(s):  
Robert D. Franklin ◽  
Joshua A. Whitley ◽  
Adam A. Caparco ◽  
Bettina R. Bommarius ◽  
Julie A. Champion ◽  
...  

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