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Improved Kent-Eisenberg models for predicting H2S and CO2 solubilities in aqueous TEA solutions

机译:改进的Kent-eisenberg模型,用于预测含水茶溶液中H2S和CO2溶解度

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Absorption of acid gases (H2S and CO2) through using alkanolamine solvents is widely used in the gas sweetening process. Gas treating plants are now forced by the environmental authorities to maintain a certain low level of H2S and CO2 concentrations in their sales gas. Therefore, it is important to study the acid gas vapor - liquid equilibrium (VLE) in alkanolamines in order to achieve the needed sweet gas specifications. (Posey et al., 1996) [6] was able to derive a simple model that predicts single or mixed acid gas systems solubility in aqueous methyldiethanolamine (MDEA) and diethanolamine (DEA) solutions. This model can be considered as a good initial guess for other complex equilibrium calculations. Also, (Patil et al., 2006) [5] derived a model that predicts single or mixed acid gas systems solubility in aqueous MDEA solutions through the dissociation of the protonated alkanolamine equilibrium constant. This paper extends Posey's regression to form a simpler model for calculating the dissociation of the protonated triethanolamine (TEA) equilibrium constant. The model can be used to correlate mixed acid gases solubility data over 2, 3.5 and 5 M of aqueous TEA solutions at 50, 75 and 100 °C. New parameters were regressed for (Posey et al, 1996) [6] model to be able to predict the aimed (TEA - H2O - H2S - CO2) system. Results for the new extended model showed the ability to predict CO2 partial pressures accurately while predicting that of H2S with a higher percent error.
机译:通过使用链烷醇胺溶剂吸收酸性气体(H2S和CO2)广泛用于气体甜味过程中。环境当局现在迫使天然气处理植物,以维持其销售天然气的一定低水平的H2S和CO2浓度。因此,重要的是研究链烷醇胺中的酸气蒸气 - 液体平衡(VLE),以达到所需的甜气体规格。 (Posey等,1996)[6]能够推导出一种简单的模型,该模型预测在甲基二乙醇胺水溶液(MDEA)和二乙醇胺(DEA)溶液中的单一或混合酸气体系统溶解度。该模型可以被认为是对其他复杂的均衡计算的良好猜测。此外,(Patil等,2006)[5]通过将质子化链烷醇胺平衡常数的解离,衍生一种模型,该模型通过MDEA溶液中的溶液中的单一或混合酸气体系统溶解性预测。本文延伸了囊性的回归,以形成一种更简单的模型,用于计算质子化三乙醇胺(茶)平衡常数的解离。该模型可用于在50,75和100℃下将混合酸气体溶解度数据与2,3.5和5μm的含水茶溶液相关。为(Posey等,1996)[6]模型来回归新参数,以便能够预测旨在的(茶 - H2O - H2S-CO2)系统。新扩展模型的结果表明,能够准确地预测CO2部分压力,同时预测H2S的误差率较高。

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