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CO2 mass transfer model for carbonic anhydrase-enhanced aqueous MDEA solutions

机译:碳酸酐酶增强型水溶液溶液的CO2传质模型

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摘要

In this study a CO mass transfer model was developed for carbonic anhydrase-enhanced MDEA solutions based on a mechanistic kinetic enzyme model. Four different enzyme models were compared in their ability to predict the liquid side mass transfer coefficient at temperatures in the range of 298 to 328 K, solvent concentrations in the range 15 to 50 wt%, COpartial pressures up to 50 kPa, solvent loading between 0 and 0.5 mole CO per mole MDEA and enzyme concentrations up to 8.5 g/L. The reversible Michaelis Menten model (MR) and the simplified model with product inhibition by the bicarbonate ion (SP) were able to predict the mass transfer with an absolute average relative deviation of less than 15%. The MR model could account for every influence (solvent concentration, temperature, solvent loading, CO partial pressure) of the different process conditions on the mass transfer, whereas the SP model is limited to applications with low CO partial pressure such as CCS from coal burning power plants. Two other models that were also investigated are not suitable for implementation into an absorber column simulation, as they cannot describe the influence of changing solvent loading on the mass transfer.
机译:在这项研究中CO质量转移模型基于一种机械的动力学模型酶碳酸酐酶增强MDEA解决方案开发。四种不同的酶模型在其预测液体侧传质系数在温度298至328 K,溶剂的浓度范围为15〜50重量%,COpartial压力高达50千帕,溶剂之间0加载的范围能力进行了比较和每摩尔MDEA 0.5摩尔CO和酶浓度高达8.5克/升。可逆米氏米氏模型(MR),并用由碳酸氢根离子(SP)的产物抑制的简化模型能够预测具有小于15%的绝对平均相对偏差的质量传递。该MR模型可以解释的对传质的不同的工艺条件每影响(溶剂浓度,温度,溶剂加载,CO分压),而SP模型被限制在低CO分压的应用,如从煤燃烧CCS发电厂。该进行了研究其它两个模型不适合于实现到吸收塔模拟,因为它们不能描述对传质改变溶剂加载的影响。

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