Ghasem Nayef
Department of Chemical and Petroleum Eng., UAE University, Al-Ain, PO Box 15551, UAE.
Membranes (Basel). 2020 Apr 16;10(4):72. doi: 10.3390/membranes10040072.
Global warming is an environmental problem caused mainly by one of the most serious greenhouse gas, CO emissions. Subsequently, the capture of CO from flue gas and natural gas is essential. Aqueous potassium glycinate (PG) is a promising novelty solvent used in the CO capture compared to traditional solvents; simultaneous solvent regeneration is associated with the absorption step. In present work, a 2D mathematical model where radial and axial diffusion are considered is developed for the simultaneous absorption/stripping process. The model describes the CO/PG absorption/stripping process in a solvent-gas membrane absorption process. Regeneration data of rich potassium glycinate solvent using a varied range of acid gas loading (mol CO per mol PG) were used to predict the reversible reaction rate constant. A comparison of simulation results and experimental data validated the accuracy of the model predictions. The stripping reaction rate constant of rich potassium glycinate was determined experimentally and found to be a function of temperature and PG concentration. Model predictions were in good agreement with the experimental data. The results reveal that the percent removal of CO is directly proportional to CO loading and solvent stripping temperature.
全球变暖是一个主要由最严重的温室气体之一——一氧化碳排放所导致的环境问题。因此,从烟道气和天然气中捕获一氧化碳至关重要。与传统溶剂相比,甘氨酸钾水溶液(PG)是一种用于捕获一氧化碳的很有前景的新型溶剂;同时溶剂再生与吸收步骤相关联。在当前工作中,针对同时进行的吸收/解吸过程,开发了一个考虑径向和轴向扩散的二维数学模型。该模型描述了溶剂-气体膜吸收过程中一氧化碳/PG的吸收/解吸过程。使用不同范围的酸性气体负载量(每摩尔PG中一氧化碳的摩尔数)的富甘氨酸钾溶剂的再生数据来预测可逆反应速率常数。模拟结果与实验数据的比较验证了模型预测的准确性。通过实验测定了富甘氨酸钾的解吸反应速率常数,发现其是温度和PG浓度的函数。模型预测与实验数据吻合良好。结果表明,一氧化碳的去除率与一氧化碳负载量和溶剂解吸温度成正比。