A Predictive Equation of State to Perform an Extending Screening of Working Fluids for Power and Refrigeration Cycles

Silvia Lasala, Andrés-Piña Martinez, J. Jaubert
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引用次数: 0

Abstract

This chapter presents the features of the Enhanced - Predictive -PR78 equation of state (E-PPR78), a model highly suitable to perform “ physical fluid screening ” in power and refrigeration cycles. It enables, in fact, the accurate and predictive (i.e., without the need for its preliminary optimization by the user) determination of the thermodynamic properties of pure and multicomponent fluids usable in power and refrigeration cycles: hydrocarbons (alkanes, alkenes, alkynes, cycloalkane, naph-thenic compounds, and so on), permanent gases (such as CO 2 , N 2 , H 2 , He, Ar, O 2 , NH 3 , NO 2 /N 2 O 4 , and so on), mercaptans, fluorocompounds, and water. The E-PPR78 equation of state is a developed form of the Peng-Robinson equation of state, which enables both the predictive determination of binary interaction parameters and the accurate calculation of pure fluid and mixture thermodynamic properties (saturation properties, enthalpies, heat capacities, volumes, and so on).
对动力和制冷循环的工作流体进行扩展筛选的状态预测方程
本章介绍了Enhanced - Predictive - pr78状态方程(E-PPR78)的特点,这是一个非常适合在电力和制冷循环中进行“物理流体筛选”的模型。事实上,它使准确和预测(也就是说,不需要用户)的初步优化测定纯和多组分流体的热力学性质可用功率和制冷循环:烃(烷烃、烯烃、炔烃、环烷naph-thenic化合物,等等),永久性气体(如CO 2 N 2, H 2,他,Ar, O 2, NH 3,没有2 / N 2 O 4,等等),硫醇,fluorocompounds和水。E-PPR78状态方程是Peng-Robinson状态方程的发展形式,它既可以预测二元相互作用参数,也可以精确计算纯流体和混合物的热力学性质(饱和度、焓、热容、体积等)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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