Studies pertinent to the hydrogen based clean energy systems have seen a significant surge in this decade in order to meet the ever‐increasing demand for energy in an environmentally sustainable way. In order to harness hydrogen from available sources, development and characterization of zeolite membranes with high hydrogen selectivity is of pivotal importance. In this study, a sonication based hydrothermal technique is used for the synthesis of Deca‐Dodecasil‐rhombohedral (DDR) zeolite membrane. Permeation tests of single gas and mixture of gases were conducted by using an in‐house designed permeation cell. For the single gas permeation test, permeate flux was calculated using soap bubble flow meter under varying feed pressure (98‐392 kPa) at 303 K. For the mixed gas permeation test, separation selectivity was measured by using gas chromatography. A mathematical model was developed in order to predict the total volume flux of hydrogen. A simple, two‐dimensional parameter model was developed to simulate the steady state permeate flux, permeate and retentate streams, and the permeate concentrations for both H₂ and CO₂. Fourier transform was found to give the best prediction for the axial diffusion coefficient, as well as the concentration distribution of both the components, (H₂ and CO₂). A good agreement was found between the observed and the calculated values for total volumetric permeate flux .The deviation between experimentally obtained results with the predicted values based on the analytical model was found to be as low as ±7%, ensuring adequate reliability of the proposed analytical model.

中文翻译：

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二维对流扩散机制的封闭形式解，用于在室温下从（H2 / CO2）混合物中分离H2

与氢基清洁能源系统相关的研究表明，在过去的十年中，以符合环境可持续性的方式满足不断增长的能源需求的需求激增。为了从可用资源中利用氢，具有高氢选择性的沸石膜的开发和表征至关重要。在这项研究中，基于超声处理的水热技术被用于合成Deca-Dodecasil-rhombohedral（DDR）沸石膜。使用内部设计的渗透池进行了单一气体和混合气体的渗透测试。对于单一气体渗透测试，使用肥皂泡流量计在303 K的变化进料压力（98-392 kPa）下计算渗透通量。对于混合气体渗透测试，使用气相色谱法测量分离选择性。为了预测氢的总体积通量，开发了数学模型。开发了一个简单的二维参数模型来模拟稳态渗透流量，渗透流和截留流以及H的渗透浓度₂和CO ₂。发现傅里叶变换可以提供最佳的轴向扩散系数预测，以及两种组分（H ₂和CO ₂）的浓度分布。在总的渗透水通量的观测值与计算值之间找到了很好的一致性。根据分析模型，实验获得的结果与预测值之间的偏差被发现低至± 7％，从而确保了所提出建议的足够可靠性分析模型。