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Applied Energy
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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An effectiveness-NTU technique for characterising a finned tubes PCM system using a CFD model

Authors: N.H.S. Tay; M. Belusko; A. Castell; L.F. Cabeza; F. Bruno;

An effectiveness-NTU technique for characterising a finned tubes PCM system using a CFD model

Abstract

Abstract Numerical modelling is commonly used to design, analyse and optimise tube-in-tank phase change thermal energy storage systems with fins. A new simplified two dimensional mathematical model, based on the effectiveness-number of transfer units technique, has been developed to characterise tube-in-tank phase change material systems, with radial round fins. The model applies an empirically derived P factor which defines the proportion of the heat flow which is parallel and isothermal. This P factor was determined using a validated computational fluid dynamics model. This method can be used to design and optimise tube-in-tank salt based phase change thermal storage units with finned tubes.

Countries
Spain, Australia, Spain, United Kingdom
Keywords

finned tubes, Effectiveness-NTU, computational fluid dynamics, Computational fluid dynamics, thermal storage system, effectiveness-NTU, phase change material, Thermal storage system, Phase change material

  • BIP!
    Impact byBIP!
    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).
    74
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
74
Top 1%
Top 10%
Top 10%
Green