Thermal Conductivity of Liquid trans-1,2-Dichloroethene (R-1130(E)): Measurement and Modeling

Author:

Al-Barghouti Karim S.ORCID,Rowane Aaron J.ORCID,Bell Ian H.ORCID,Huber Marcia L.ORCID,Perkins Richard A.ORCID

Abstract

AbstractThe thermal conductivity of liquid trans-1,2-dichloroethene (R-1130(E)) was measured at temperatures ranging from 240 K to 340 K and pressures up to 25 MPa using a transient hot-wire instrument. A total of 447 thermal conductivity data points were measured along six isotherms. Each isotherm includes data at nine pressures, which were chosen to be at equal density increments starting at a pressure of 0.1 MPa (or slightly above the saturation pressure of R-1130(E) at temperatures above its normal boiling point) to a maximum pressure of 25 MPa. The combined expanded uncertainty of the presented experimental data is 1.4% at a 95% confidence level. The experimental data were used to evaluate the performance of an extended corresponding states (ECS) model and a residual entropy scaling (RES) model. Both models were applied in a totally predictive mode, and in a mode where the experimental data were used to tune the model parameters. A volume-translated Peng–Robinson equation of state was used to provide thermodynamic properties needed to apply both models. In a totally predictive mode, the ECS model had an average absolute relative deviation (ΔAARD) of 6.89% relative to the experimental data with the largest deviation being − 8.33%. The RES model in a totally predictive mode showed an ΔAARD of 2.55% with the largest deviation being − 5.81%. When model parameters were fitted to the experimental data, both the ECS and the RES model represented the experimental data to within its uncertainty of 1.4%.

Publisher

Springer Science and Business Media LLC

Reference48 articles.

1. Conference on the Protection of the Ozone Layer; Vienna Convention for the Protection of the Ozone Layer. United Nations Treaty Collection https://treaties.un.org/doc/Publication/MTDSG/Volume%20II/Chapter%20XXVII/XXVII-2.en.pdf, 1985

2. United Nations. Montreal Protocol on Substances that Deplete the Ozone Layer. United Nations (UN): New York https://treaties.un.org/doc/publication/unts/volume%201522/volume-1522-i-26369-english.pdf, 1987

3. F. Graziosi, J. Arduini, F. Furlani, U. Giostra, P. Cristofanelli, X. Fang, O. Hermanssen, C. Lunder, G. Maenhout, S. O’Doherty, S. Reimann, N. Schmidbauer, M.K. Vollmer, D. Young, M. Maione, Atmos. Environ. 158, 85 (2017). https://doi.org/10.1016/j.atmosenv.2017.03.029

4. M.O. McLinden, M.L. Huber, J. Chem. Eng. Data 65(9), 4176 (2020). https://doi.org/10.1021/acs.jced.0c00338

5. United Nations Environment Programme, Decision XXVIII/Further Amendment of the Montreal Protocol. Twenty-Eighth Meeting of the Parties to the Montreal Protocol on Substances that Deplete the Ozone Layer, Kigali https://treaties.un.org/doc/Publication/MTDSG/Volume%20II/Chapter%20XXVII/XXVII-2-f.en.pdf, 2016

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Thermal Conductivity Measurements for the Hydrochloroolefin R1130(E);International Journal of Thermophysics;2024-02-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3