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Absorber Models for absorption of Carbon dioxide from sour natural gas byMethyl-diethanol Amine (MDEA)

机译:甲基二乙醇胺(MDEA)从酸性天然气中吸收二氧化碳的吸收器模型

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Mathematical models of the absorber for the absorption of carbon dioxide (CO2)from sour natural gas in Methyl-diethanol Amine (MDEA)solution were developed. The resulting ordinary differential model equations were solved numerically using theode45 solver of MATLAB 7.5. The accuracy of the models was ascertained using industrial plant data from the carbon dioxide absorber of the Obiafu/Obrikom Gas Treatment plant in Rivers State, Nigeria. The models predicted the CO2 concentration in the sweet gas, gas and solvent (MDEA) temperature progressions along the packed absorber. The results obtained from solutions to the models compared favorably with the plant outputs with a maximum deviation between models predictions and industrial plant outputs of 0.44%. The models were used to simulate the influence of sour gas flow rates and solvent (MDEA) concentration in solution on the performance (absorption rates of CO2) of the absorber.The results show that the absorption rate of CO2 increases with increasing gas flow rate and solvent concentration.
机译:建立了在甲基二乙醇胺(MDEA)溶液中从酸性天然气中吸收二氧化碳(CO2)的吸收塔的数学模型。使用MATLAB 7.5的theode45求解器对所得的常微分模型方程进行数值求解。该模型的准确性是使用来自尼日利亚河州奥比亚夫/奥布里科姆气体处理厂的二氧化碳吸收器的工厂数据确定的。这些模型预测了沿填充吸收塔的甜味气体,气体和溶剂(MDEA)温度变化过程中的CO 2 浓度。从模型的解获得的结果与工厂的产出相比具有优势,模型预测与工业工厂的产出之间的最大偏差为0.44%。用该模型模拟了酸性气体流速和溶液中溶剂(MDEA)的浓度对吸收塔性能(CO 2 的吸收率)的影响。 CO 2 随着气体流速和溶剂浓度的增加而增加。

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