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Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Development of a math module of shell and tube phase-change energy storage system used in TRNSYS

Authors: Guohui Feng; Ming Liu; Kailiang Huang; Xiaoqian Qiang; Qunpeng Chang;

Development of a math module of shell and tube phase-change energy storage system used in TRNSYS

Abstract

Abstract Due to the lack of phase-change energy storage modules in the TRNSYS software, this paper applies the numerical simulation method to develop a TRNSYS module. Research has been conducted on the characteristics of the shell-and-tube phase-change energy storage system in order to provide a reasonable basis for its application in practical engineering. According to the principles of energy conservation, a numerical model has been proposed to calculate the temperature field and fluid temperature field of the phase-change unit, and a mathematical model is applied to guide the editing of the TRNSYS module. A Fluent model was established to compare the TRNSYS simulation results and verify the physical validity of the module. In terms of the thermal outlet temperature of the HTF, the maximum relative error between the two in the melting phase is noted to be 1.17%, and the maximum relative error at the solidification stage is 1.83%.Different flow parameters of the system have been studied. The results of the study indicate that differences in inlet temperatures have a greater influence on the average temperature and outlet temperature of the PCM, whereas differing inlet flows have a negligible influence on the phase-change unit.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
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