Artificial neural network based optimization of a six-step two-bed pressure swing adsorption system for hydrogen purification
نویسندگان
چکیده
The pressure swing adsorption (PSA) system is widely applied to separate and purify hydrogen from gaseous mixtures. extended Langmuir equation fitted the Langmuir-Freundlich isotherm has been used predict isothermal of methane on zeolite 5A adsorbent bed. A six-step two-bed PSA model for purification developed validated by comparing its simulation results with other works. effects pressure, P/F ratio, step time equalization performance are studied. four-step taken into consideration, shows higher about 13% recovery than system. vacuum (VPSA) compared that system, VPSA purity Based model, a dataset produced train artificial neural network (ANN) model. number neurons in hidden layer samples training ANN predicted investigated. Then, well-trained 6 purification. Multi-objective optimization performed based trained can be considered as very effective method predicting optimizing
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ژورنال
عنوان ژورنال: Energy and AI
سال: 2021
ISSN: ['2666-5468']
DOI: https://doi.org/10.1016/j.egyai.2021.100075