five

Binary interaction parameters for the study of hydrofluoroolefins blends using cubic equations of state.

收藏
DataCite Commons2020-09-20 更新2025-04-16 收录
下载链接:
http://iifiir.org/clientBookline/service/reference.asp?INSTANCE=EXPLOITATION&OUTPUT=PORTAL&DOCID=IFD_REFDOC_0024823&DOCBASE=IFD_REFDOC_EN&SETLANGUAGE=EN
下载链接
链接失效反馈
官方服务:
资源简介:
Refrigerant blends containing hydrofluoroolefins are becoming of great interest as replacement fluids for airconditioning and refrigeration systems, and organic Rankine cycle power systems. Today, different blends of hydrofluoroolefins with hydrofluorocarbons or natural refrigerants (e.g. hydrocarbons, carbon dioxide) are studied in order to improve the safety or performance features of the replacement fluids. The lack of experimental data for these fluids impedes the development of accurate mixing models for Helmholtz-based equations of state. In this work a new mixing model for the study of hydrofluoroolefin blends by using a modified Peng-Robinson equation of state is presented. The mixture parameters were fitted based on experimental vapor-liquid-equilibria data of several hydrofluoroolefin blends. The predictive performance of the new model was compared with that of the standard Peng-Robinson equation of state and the fluid-specific Helmholtz-based models. The optimized binary interaction parameters improved significantly the predictions of saturated pressures for mixtures of hydrofluoroolefins and hydrocarbons.
提供机构:
International Institute of Refrigeration (IIR)
创建时间:
2018-11-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作