Abstract In this study, the equilibrium adsorption isotherms of N2, CH4 and CO2 on two types of activated carbon adsorbents were measured. The experimental data of the equilibrium adsorption were fitted to the Sips isotherm model at different temperatures. It was found that the Sips model is appropriate to predict the behavior of gas adsorption. Moreover, a method based on the Gibbs energy of desorption of the solid adsorbent was used to estimate the amount of separation factor of binary mixtures at different temperatures. Also, the amount of gas adsorption on activated carbon was predicted by using the artificial neural network-genetic algorithm (ANN-GA) model. The results of the ANN-GA model indicated that the performance of the model for predicting the behavior of gas adsorption is acceptable. Finally, the extended Sips model was used to simulate the multi-component adsorption of three binary mixtures CO2/N2, CH4/N2 and CO2/CH4, and the results of this model were validated by experimental data.

中文翻译：

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CH4、CO2、N2在活性炭上吸附平衡的实验和模型研究及多组分吸附平衡的预测

摘要 本研究测量了N2、CH4和CO2在两种活性炭吸附剂上的平衡吸附等温线。平衡吸附的实验数据在不同温度下拟合到 Sips 等温线模型。发现Sips模型适用于预测气体吸附行为。此外，基于固体吸附剂的吉布斯解吸能的方法被用于估计不同温度下二元混合物的分离因子的量。此外，通过使用人工神经网络遗传算法（ANN-GA）模型预测活性炭上的气体吸附量。ANN-GA 模型的结果表明，该模型预测气体吸附行为的性能是可以接受的。最后，