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Density and Electrical Conductivity for Aqueous Mixtures of Monoethylene Glycol and Sodium Chloride: Experimental Data and Data-Driven Modeling for Composition Determination
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2021-04-09 , DOI: 10.1021/acs.jced.0c00962 Mário H. Moura-Neto 1 , Mateus F. Monteiro 1 , Fedra A. V. Ferreira 1 , Dannielle J. Silva 1 , Camila S. Figueiredo 2 , João R. P. Ciambelli 2 , Leonardo S. Pereira 2 , Jailton F. do Nascimento 2 , Osvaldo Chiavone-Filho 1
Journal of Chemical & Engineering Data ( IF 2.0 ) Pub Date : 2021-04-09 , DOI: 10.1021/acs.jced.0c00962 Mário H. Moura-Neto 1 , Mateus F. Monteiro 1 , Fedra A. V. Ferreira 1 , Dannielle J. Silva 1 , Camila S. Figueiredo 2 , João R. P. Ciambelli 2 , Leonardo S. Pereira 2 , Jailton F. do Nascimento 2 , Osvaldo Chiavone-Filho 1
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Monoethylene glycol (MEG) is a gas hydrate inhibitor widely applied for natural gas flow assurance. A series of density and electrical conductivity measurements of water + MEG + NaCl mixtures are reported, allowing the supervision of the MEG regeneration unit. Density (509 data points) and electrical conductivity (212 data points) measurements were performed in wide ranges of temperature, T = 278.15–363.15 K, and concentration of solvents and NaCl up to almost saturation. The theory of solutions was applied for density description using excess volume, which was correlated with the Redlich–Kister equation. The resulting absolute and relative mean deviations are 0.00127 g·cm–3 and 0.12%, indicating accurate representation. A semiempirical correlation with 15 adjustable parameters was considered for electrical conductivity of water + MEG + NaCl mixtures. The obtained absolute and relative mean deviations are 1.49 mS·cm–1 and 5.70%. The properties functions presented an approximately orthogonal behavior to each other, allowing the determination of mixture composition from experimental density and electrical conductivity data. The Matlab environment was found to be robust in solving the nonlinear system of two equations with constraints. The proposed methodology was extensively tested, and deviations less than 0.0060 and 0.0011 in solvents and NaCl mass fractions were obtained, respectively, demonstrating the required accuracy for industrial application.
中文翻译：
单乙二醇和氯化钠水溶液混合物的密度和电导率：用于确定成分的实验数据和数据驱动模型
单乙二醇（MEG）是一种气体水合物抑制剂，广泛用于确保天然气流量。报告了水+ MEG + NaCl混合物的一系列密度和电导率测量值，从而可以监控MEG再生装置。密度（509个数据点）和电导率（212个数据点）的测量是在很宽的温度范围内进行的，T = 278.15–363.15 K，溶剂和NaCl的浓度几乎达到饱和。解决方案的理论被应用到使用多余体积的密度描述中，该体积与Redlich–Kister方程相关。所得的绝对和相对平均偏差为0.00127 g·cm –30.12％，表示准确。对于水+ MEG + NaCl混合物的电导率，考虑了具有15个可调参数的半经验相关性。获得的绝对和相对平均偏差为1.49 mS·cm –1和5.70％。这些特性函数相互之间表现出近似正交的行为，从而可以根据实验密度和电导率数据确定混合物的组成。发现Matlab环境在求解带约束的两个方程组的非线性系统方面具有鲁棒性。所提出的方法进行了广泛的测试，在溶剂和NaCl质量分数中的偏差分别小于0.0060和0.0011，证明了工业应用所需的精度。
更新日期：2021-05-13
中文翻译：
单乙二醇和氯化钠水溶液混合物的密度和电导率：用于确定成分的实验数据和数据驱动模型
单乙二醇（MEG）是一种气体水合物抑制剂，广泛用于确保天然气流量。报告了水+ MEG + NaCl混合物的一系列密度和电导率测量值，从而可以监控MEG再生装置。密度（509个数据点）和电导率（212个数据点）的测量是在很宽的温度范围内进行的，T = 278.15–363.15 K，溶剂和NaCl的浓度几乎达到饱和。解决方案的理论被应用到使用多余体积的密度描述中，该体积与Redlich–Kister方程相关。所得的绝对和相对平均偏差为0.00127 g·cm –30.12％，表示准确。对于水+ MEG + NaCl混合物的电导率，考虑了具有15个可调参数的半经验相关性。获得的绝对和相对平均偏差为1.49 mS·cm –1和5.70％。这些特性函数相互之间表现出近似正交的行为，从而可以根据实验密度和电导率数据确定混合物的组成。发现Matlab环境在求解带约束的两个方程组的非线性系统方面具有鲁棒性。所提出的方法进行了广泛的测试，在溶剂和NaCl质量分数中的偏差分别小于0.0060和0.0011，证明了工业应用所需的精度。
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