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Renewable and Sustainable Energy Reviews
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Review of the T -history method to determine thermophysical properties of phase change materials (PCM)

Authors: Ingrid Martorell; Laia Miró; Camila Barreneche; Camila Barreneche; Luisa F. Cabeza; Aran Solé;

Review of the T -history method to determine thermophysical properties of phase change materials (PCM)

Abstract

Phase change materials (PCM) are able to store thermal energy when becoming liquid and to release it when solidifying. Latent heat storage has gained importance due the applications towards increasing energy efficiency in several systems. Thus, a correct and accurate thermal characterization of these materials should be achieved. Among all possible thermal analysis methods to determine PCM thermophysical properties, the T-history method presents certain advantages. The T-history method is known to be suitable to obtain fusion enthalpy, specific heat and thermal conductivity for large phase change materials samples. On the other hand, no experimental T-history equipment is commercially available yet. Therefore, the goal of this paper is moving towards a consensus. To achieve this goal, a collection of similar methods previous to T-history are exposed and different proposals based on improving the original T-history method are discussed and reviewed.

Country
Spain
Keywords

T-history method, Thermal analysis, Phase change materials

  • 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).
    171
    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
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    Top 1%
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    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!
171
Top 1%
Top 1%
Top 10%