Highly Accurate Prediction Models for Thermophysical Properties of PCMs

doi:10.12141/j.issn.1000-565X.180612

Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (9): 131-138.doi: 10.12141/j.issn.1000-565X.180612

• Chemistry & Chemical Engineering • Previous Articles Next Articles

Highly Accurate Prediction Models for Thermophysical Properties of PCMs

LI Yajun ZHANG Jinwen

School of Chemistry and Chemical Engineering/ /Key Laboratory of Heat Transfer Enhancement and Energy Conservation of the Ministry of Education，South China University of Technology，Guangzhou 510640，Guangdong，China

Received:2018-12-10 Revised:2019-03-30 Online:2019-09-25 Published:2019-08-01
Contact: 李亚军(1969-)，女，副教授，主要从事过程系统工程研究． E-mail:liyajun@scut.edu.cn
About author:李亚军(1969-)，女，副教授，主要从事过程系统工程研究．
Supported by:
Supported by the National Natural Science Foundation of China(51873065) and the Natural Science Foundation of Guangdong Province(2017A030313277)

Abstract

Abstract: Aiming at the limitations of experimental study on thermophysical properties of cryogenic PCMs，such as long duration，big deviation and harsh cold condition test，a highly accurate method to predict solid-liquid equi- librium (SLE) of PCMs，where SRK-UNIFAC model is used in the fugacity of PCMs in liquid phase and method of referenced state by hypothetic path is used in solid phase，was proposed． Based on the improved method，the thermophysical properties of composite cryogenic PCMs including eutectic composition，eutectic temperature and eutectic enthalpy were accurately predicted with a minor deviation． Furthermore，taking the LNG air separation unit as an example，the established simulating method with high accuracy to predict PCMs' thermophysical proper- ties was adopted for material selection and adaptive application for cryogenic energy storage unit in this project with high efficiency．

Key words: phase change materials, thermodynamics, thermophysical properties, cryogenic energy storage, liquefied natural gas

CLC Number:

LI Yajun ZHANG Jinwen. Highly Accurate Prediction Models for Thermophysical Properties of PCMs[J]. Journal of South China University of Technology(Natural Science Edition), 2019, 47(9): 131-138.

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Highly Accurate Prediction Models for Thermophysical Properties of PCMs

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