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A systematic approach for the thermodynamic modelling of CO_2-amine absorption process using molecular-based models

机译:基于分子模型的CO_2-胺吸收过程热力学建模的系统方法

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The development of new amine systems for CO2 capture is a topic of high interest because of the limitations current aqueous amine systems have for capturing CO2 at large scale. Having a robust and systematic approach for describing the absorption of CO2 would help accelerating the discovery of high performance amine solvents. In this contribution, a molecular-based equation of state is applied to describe the absorption of CO2 in aqueous solutions of single and blended amines at conditions of relevance for post-combustion CO2 capture. A scheme of implicit reactions is used to describe the formation of carbamate and/or bicarbonate products resulting from the chemical reactions between CO2 and five amines of practical industrial interest. This procedure eliminates the need to specify the detailed equilibrium reactions and significantly reduces the number of parameters required to represent the absorption process. A maximum of two adjustable model parameters (one of which with a linear temperature dependence), optimised for a fixed amine concentration, suffices to represent the absorption of CO2 in aqueous solutions of single amines over a broad range of temperatures (298-413 K) and partial pressures of CO2 (0.1-1000 kPa). The extrapolation capabilities of the model are tested by predicting the absorption of CO2 in aqueous solutions of single amines for different amines concentrations (similar to 8.5-35 wt%), with modelling results showing good quantitative agreement with solubility, speciation and enthalpy of absorption data available in literature. Furthermore, without introducing any new model parameter, the absorption of CO2 in various amine blends is satisfactorily predicted by considering competing interactions for the reactive sites in the model of CO2. The developed models are then used to assess the CO2 capture performance of selected amine systems in terms of two key process parameters: solvent cyclic capacity and regeneration energy. Results for systems with the same total amine mass concentration show that the highest molar cyclic capacities are obtained for 30 wt% piperazine (0.45 mol(CO2).mol(Amine)(-1)), whereas the greatest energy savings for solvent regeneration are estimated for 30 wt% methyldiethanolamine (2.3 GJACO(2)(-1)). Moreover, two piperazine promoted blends showed the potential for reducing up to similar to 26% the energy consumption for solvent regeneration and separating up to similar to 41% more CO2 in a molar basis when compared to the benchmark 30 wt% monoethanolamine. Altogether, these results demonstrate the feasibility of the developed approach as a reliable platform for the screening of amine solvents as function of key process parameters, and as a valuable tool for process modelling.
机译:由于目前的水性胺系统对于大规模捕获CO 2的局限性,开发用于CO 2捕获的新胺系统是引起高度关注的主题。具有用于描述CO2吸收的可靠且系统的方法将有助于加速高性能胺溶剂的发现。在这一贡献中,应用了基于分子的状态方程来描述在与燃烧后CO2捕集相关的条件下,单一胺和混合胺水溶液中CO2的吸收。隐式反应方案用于描述形成的氨基甲酸酯和/或碳酸氢盐产物,是由CO2与五种具有实际工业意义的胺之间的化学反应引起的。该程序无需指定详细的平衡反应,并且显着减少了代表吸收过程所需的参数数量。针对固定的胺浓度进行了优化的最多两个可调模型参数(其中一个与线性温度相关),足以表示在宽温度范围(298-413 K)下单胺水溶液中的CO2吸收二氧化碳分压(0.1-1000 kPa)。通过预测不同胺浓度(约8.5-35 wt%)下单一胺水溶液中的CO2吸收来测试模型的外推能力,建模结果显示出与吸收数据的溶解度,形态和焓具有良好的定量一致性有文献记载。此外,在不引入任何新模型参数的情况下,通过考虑CO2模型中反应位点的竞争性相互作用,可以令人满意地预测各种胺混合物中的CO2吸收。然后,根据两个关键的工艺参数,使用开发的模型评估所选胺系统的CO2捕集性能:溶剂循环能力和再生能量。具有相同总胺质量浓度的系统的结果表明,对于30 wt%的哌嗪(0.45 mol(CO2).mol(胺)(-1)),可获得最高的摩尔循环容量,而溶剂再生的最大节能量是估计为30 wt%的甲基二乙醇胺(2.3 GJACO(2)(-1))。此外,与标准的30 wt%的单乙醇胺相比,两种哌嗪促进的混合物显示出潜力,可减少多达26%的溶剂再生能耗,并以摩尔计分离出多达41%的二氧化碳(摩尔量)。总而言之,这些结果证明了所开发方法作为作为关键工艺参数的函数来筛选胺溶剂的可靠平台以及作为过程建模的有价值工具的可行性。

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