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Experimental Validation of a CFD and a ε-NTU Model for Coils in a Large PCM Tank

Authors: Martin Belusko; Steven Tay; Frank Bruno;

Experimental Validation of a CFD and a ε-NTU Model for Coils in a Large PCM Tank

Abstract

An experimental validation for a computational fluid dynamics (CFD) and effectiveness-number of transfer unit (ε-NTU) model for tubes in a large phase change material (PCM) tank has been conducted. In previous work, experimental validation of a CFD and ε-NTU model was carried out on latent heat thermal storage systems having one, two and four coils of polyvinyl chloride tubes coiled inside a 290 mm diameter by 330 mm high cylindrical tank filled with PCM. The heat transfer fluid (HTF) passes through the tube during the charging and discharging processes. Salt hydrate PCM with phase change temperature of -27 °C was used for all the three tube configurations while water was used in the four tubes tank experiment. Further experimental validations of a CFD and ε-NTU model were carried out on a large PCM tank, having eight coils of copper tubes inside a 550 mm diameter by 830 mm high cylindrical tank filled with PCM. The inlet and outlet HTF temperatures as well as twelve temperature locations in the PCM tank were compared with the CFD results. The average effectiveness of the phase change process of each experimental point was also compared with results from the CFD as well as the ε-NTU technique. From this study, it was concluded that the CFD model and the ε-NTU technique developed can accurately predict the behaviour of the thermal storage system during the freezing process. There are however, discrepancies in the melting process due to the exclusion of the effect of natural convection in the models developed. The paper will give details of the CFD model of the phase change thermal storage system. Results from the CFD model, experiments and ε-NTU technique will also be presented.

Country
Australia
Keywords

tube in tank, computational fluid dynamics, cold storage tank, phase change material

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citations
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!
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