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Optimization of PSA process for producing enriched hydrogen from plasma reactor gas

机译：从等离子体反应器气体生产富氢的PSA工艺的优化

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摘要

Hydrogen purification with optimum recovery and energy consumption from various process streams represents one of the major commercial uses of pressure swing adsorption (PSA) technology. In the plasma process for hydrogen production, the effluent stream from a reactor has to be processed to obtain the high purity hydrogen before being fed to fuel cells for power generation or stored in tanks. The major impurity in the effluent stream is unreacted methane. A rigorous PSA model for simulation and optimization purposes has been developed. The non-isothermal, bulk separation with variable superficial velocity and dispersion coefficient, linear driving force approximation for particle uptake, and Langmuir isotherm to represent adsorption equilibrium were applied in the PSA modeling. The model was solved using gPROMS software. The extensive simulation results involving parametric studies of PSA separation performance were well matched with the experimental results using an activated carbon made from coconut shell as an adsorbent. The optimal conditions for separation of 50%H2/50%CH4 mixture in a laboratory-scale PSA unit, and separation of 25%H2/75%CH4 mixture, representing exit gas from plasma reactor, in a pilot-scale PSA unit were obtained by carrying out optimization routines in gPROMS.
机译：具有最佳回收率和从各种工艺流中消耗能量的氢气纯化代表变压吸附（PSA）技术的主要商业用途之一。在用于制氢的等离子体工艺中，必须将来自反应器的流出物流进行处理以获得高纯度氢气，然后将其送入燃料电池进行发电或存储在储罐中。废水中的主要杂质是未反应的甲烷。已开发出用于仿真和优化目的的严格PSA模型。在PSA模型中采用了非等温的，具有可变的表观速度和弥散系数的本体分离，用于颗粒吸收的线性驱动力近似值和代表吸附平衡的Langmuir等温线。使用gPROMS软件解决了该模型。涉及PSA分离性能参数研究的广泛模拟结果与使用椰子壳制成的活性炭作为吸附剂的实验结果非常吻合。获得了在实验室规模的PSA装置中分离50％H2 / 50％CH4混合物以及在中试规模的PSA装置中分离代表血浆反应器出口气体的25％H2 / 75％CH4混合物的最佳条件通过在gPROMS中执行优化例程。

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