Mathematical Modeling and Simulation of Methane Steam Reforming Membrane Reactor

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2024-01-17 DOI:10.1134/S004057952305041X
Ravikant R. Gupta, Richa Agarwal
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Abstract

The present investigation pertains to a theoretical study of mathematical model for methane steam reforming in membrane reactor, by simulating the operating variables of the reactor for high hydrogen yield and methane conversion. Basically, it deals with the development of the mathematical model of a fluidized bed Auto thermal membrane reactor (without integrated O2 perm-selective membranes), by using the mass balance macroscopically. Model is validated with the available experimental data in the literature and was found that the prediction from the models is in excellent agreement with the experimental values, with a maximum deviation of –12 to +13% and –12 to +1.8% for methane gas conversion and hydrogen yield, respectively. Finally, it investigates the effect of operating variables namely, reactor pressure, temperature, and steam to methane ratio (SMR) and permeates side pressure, on the methane gas conversion and hydrogen. The prediction reveals that the hydrogen yield and methane conversion increases with increase in reactor temperature and pressure whereas decreases with increase in SMR and permeate side pressure.

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甲烷蒸汽转化膜反应器的数学建模与仿真
本研究涉及膜反应器中甲烷蒸汽转化数学模型的理论研究,通过模拟反应器的运行变量来获得高产氢量和甲烷转化率。从根本上说,本研究通过宏观质量平衡,建立了流化床自动热力膜反应器的数学模型(无集成的 O2 perm-selective 膜)。模型与现有文献中的实验数据进行了验证,发现模型预测值与实验值非常吻合,甲烷气体转化率和氢气产量的最大偏差分别为 -12% 至 +13% 和 -12% 至 +1.8%。最后,研究了反应器压力、温度、蒸汽与甲烷比(SMR)和渗透侧压力等操作变量对甲烷气体转化率和氢气的影响。预测结果表明,氢气产量和甲烷转化率随着反应器温度和压力的增加而增加,但随着蒸汽与甲烷比和渗透侧压力的增加而减少。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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