THERMODYNAMIC PROPERTIES CALCULATION USING A MULTIOBJECTIVE APPROACH IN ESTIMATING THE PARAMETERS OF THE GEOS3C EQUATION OF STATE

G. R. Silva, T. Galo, A. M. Soares Jr., L. G. Oliveira
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引用次数: 2

Abstract

Since van der Waals' first publication, a lot of equations of state have been proposed to represent the PVT behavior of pure compounds, as is the case with GEOS3C, which is a new form of generalized cubic equation of state that uses a temperature function dependent on three adjustable empirical parameters. In order to obtain the parameters that lead to the lowest errors of vapor pressure and saturated liquid volume predictions, it is possible to turn this problem into a multiobjective optimization problem. In this context, a modified MOPSO algorithm was employed. This method has the main advantage to provide a set of solutions that show the existing conflict in the attempt to minimize the properties of interest. Substances from different chemical families were used to evaluate the methodology proposed in this work and comparisons against experimental data were made. Results showed that the values obtained through multiobjective optimization for GEOS3C adjustable parameters provide better or equivalent predictions for all calculated thermodynamic properties. In addition, it was possible to observe a correlation between the parameters in the viable regions of the Pareto fronts: C1 assuming a constant value, whereas C2 and C3 are linearly dependent on each other
用多目标方法计算地球物理状态方程的热力学性质
自van der Waals首次发表以来,已经提出了许多状态方程来表示纯化合物的PVT行为,例如GEOS3C,它是一种新形式的广义三次状态方程,使用依赖于三个可调经验参数的温度函数。为了得到导致蒸汽压和饱和液体体积预测误差最小的参数,可以将该问题转化为多目标优化问题。为此,采用了一种改进的MOPSO算法。这种方法的主要优点是提供了一组显示现有冲突的解决方案,以尽量减少感兴趣的属性。使用不同化学家族的物质来评估本工作中提出的方法,并与实验数据进行了比较。结果表明,通过对GEOS3C可调参数进行多目标优化得到的数值能够更好或等效地预测所有计算的热力学性质。此外,可以观察到帕累托锋面可行区域的参数之间的相关性:C1假设恒定值,而C2和C3是线性依赖于彼此的
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