Modelling Study of Palladium Membrane Reactor Performance during Methan Steam Reforming using CFD Method

2016 ◽  
Vol 11 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Kamran Ghasemzadeh ◽  
Ehsan Andalib ◽  
Angelo Basile

Abstract The main aim of this study is the investigation of dense palladium membrane reactor (MR) performance during methane steam reforming (MSR) reaction using computational fluid dynamic (CFD). To this purpose, a two-dimensional isothermal CFD model was developed and its validation was realized by comparing the theoretical results with our experimental data achieved in ITM of Italy. In this work, the CFD model was presented by COMSOL- Multiphysics software version 5. The reaction rate expressions and kinetics parameters were used from literatures. According to validation results, a good agreement between modeling results and experimental data was found. After model validation, the effect of the some important operating parameters (temperature and pressure) on the performance of palladium MR was studied in terms of methane conversion and hydrogen recovery. The CFD model presented velocity and pressure profiles in both side of MR and also molar fraction of different species in permeate and retentate streams. The modeling results showed that the palladium MR presents comparable performance with respect to traditional reactor (TR) in terms of the methane conversion, especially, at lower temperatures and higher pressures. In fact, CFD results indicated that palladium MR performance was improved by increasing the reaction pressure, while this parameter had negative effect on the TR performance. This result related to increasing the hydrogen permeance through the palladium membrane by enhancement of pressure gradient. Indeed, this shift effect can provide a higher methane conversion in lower temperatures in the palladium MR. In particular, 99% methane conversion and 43% hydrogen recovery was achieved at 500°C and 1.5 atm.

2016 ◽  
Vol 11 (1) ◽  
pp. 51-55 ◽  
Author(s):  
K. Ghasemzadeh ◽  
R. Zeynali ◽  
F. Ahmadnejad ◽  
A. A. Babalou ◽  
A. Basile

Abstract The main purpose of present study is the analysis of dense palladium membrane reactor (MR) performance during ethanol steam reforming (ESR) reaction using computational fluid dynamic (CFD). To this aim, a two-dimensional and isothermal model based on CFD method was developed and results validation was tested by our experimental data achieved in ITM-CNR of Italy. In this work, Pd-based MR modeling was performed by using COMSOL-MULTIPHYSICS software. Regarding to model validation results, a good agreement was found between CFD model results and experimental data. Moreover, in this study, the effects of the some important operating parameters (reaction temperature and pressure) on the performance of Pd-based MR was studied in terms of ethanol conversion and hydrogen recovery. Concerning to simulation results, the CFD model presented velocity and pressure profiles in both side of MR and also compositions of various species in permeate and retentate streams. The simulation results indicated that the Pd-based MR has better performance with respect to traditional reactor (TR) in terms of the ethanol conversion, especially, at lower reaction temperatures and higher reactions pressures. As a consequence, CFD model results illustrated that Pd-based MR performance was improved by increasing the reaction pressure, while this parameter had negative effect on the TR performance. This result related to enhancement of hydrogen permeance through the palladium membrane by increasing the pressure gradient. Indeed, this shift effect can provide a higher ethanol conversion in lower temperatures in the Pd-based MR. In particular, 98% ethanol conversion and 37% hydrogen recovery was achieved at 350°C and 2 atm.


Fuel ◽  
2006 ◽  
Vol 85 (4) ◽  
pp. 569-573 ◽  
Author(s):  
Fabiano A.N. Fernandes ◽  
Aldo B. Soares

Author(s):  
Marjan Alavi ◽  
Reza Eslamloueyan ◽  
Mohammad Reza Rahimpour

AbstractSteam reforming of methane (SRM) is an important stage of hydrogen production. Using a membrane reactor (MR) to separate the produced H2positively affects CH4conversion by shifting the equilibrium. This H2removal increases the risk of coke formation in the process. In this study, the influence of different parameters such as Damkohler’s number (Da) and permeation number (θ) on CH4conversion and H2recovery are investigated. In order to find the optimum condition for this MR in which CH4conversion, H2Recovery are maximized and the risk of coke formation is minimized, the elitist non-dominated sorting genetic algorithm (NSGA-II) is employed to achieve the Pareto front in a three objective space. The single optimal solution is selected from Pareto front by TOPSIS decision making method. In the optimized condition methane conversion and hydrogen recovery are improved about 19.8% an 6.8%, respectively. Also, the risk of coke formation in the MR is reduced.


Author(s):  
Igor Nardi Caxiano ◽  
Lizandro De Sousa Santos ◽  
Diego Martinez Prata

Hydrogen is one of most studied sources for clean power generation in the near future. Nowadays, hydrogen is mainly produced through methane steam reforming in packed bed reactors, with a promising alternative to this technology being the implementation of hydrogen-selective membrane reactors. This work compares the isothermal mathematical models of both designs by assessing the effects of multiple design variables on methane conversion, while also providing recommended operating conditions for maximum efficiency of the membrane reactor over the packed bed technology. Additionally, an optimization study is carried by dividing the reactor length in isothermal segments to achieve higher efficiency. Results showed that the membrane technology considerably increases hydrogen production, with temperature being the most influential variable on methane conversion. While the temperature profile optimization provided similar conversions compared to the isothermal models, the membrane reactor’s efficiency was increased, further justifying its implementation.


2000 ◽  
Vol 17 (3) ◽  
pp. 288-291 ◽  
Author(s):  
Suk Woo Nam ◽  
Sung Pil Yoon ◽  
Heung Yong Ha ◽  
Seong-Ahn Hong ◽  
Anatoly P. Maganyuk

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