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Sea water vapor pressure based on the Cisternas-Lam model

机译:基于Cisternas-Lam模型的海水蒸气压

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The values of sea water vapor pressure (SWVP) and boiling point elevation (BPE) are required in the simulation, design, and optimization of processes in which sea water is used, such as in the mining industry and in a desalination plant. The SWVP is modeled using the model of Cisternas and Lam (CL). The literature on SWVP is reviewed, and several models and SWVP data are selected to assess the CL model using other models that are available in the literature. Two cases are analyzed in the application of CL model: first, the sea water is modeled as a mixture of salt with fixed ionic strength fraction and the capability of CL model to predict the SWVP is analyzed; next, as the second-best option, the sea water is modeled as a pseudo 1:1 electrolyte, which requires a single empirical constant to be set. The CL model is assessed using several models. Two sets of experimental data are used to study the capability of the SWVP models regarding their interpolation, extrapolation, and correlation of the data. The CL model usually gives the best results in terms of the interpolation, extrapolation and correlation of the SWVP. In addition, the application of the CL model to estimate the BPE is shown. An accuracy of 0.03K was observed in the prediction of the BPE.
机译:在使用海水和矿区在采矿工业和海水淡化厂的过程中,可以在仿真,设计和优化中需要海水蒸汽压力(SWVP)和沸点升高(BPE)的值。 SWVP使用Cisternas和Lam(CL)的模型进行建模。综述了SWVP上的文献,选择了多种型号和SWVP数据来使用文献中可用的其他模型来评估CL模型。在CL型号的应用中分析了两种情况:首先,将海水模拟为具有固定离子强度分数的盐的混合物和CL模型预测SWVP的能力;接下来,作为第二个最佳选择,海水被建模为伪1:1电解质,这需要设定单个经验常数。使用多种型号进行评估CL模型。两组实验数据用于研究SWVP模型关于数据的插值,外推和数据的相关性的能力。 CL模型通常在SWVP的插值,外推和相关性方面提供最佳结果。另外,示出了CL模型的应用来估计BPE。在BPE的预测中观察到精度为0.03k。

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