2020
DOI: 10.3390/en13123064
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The Impact of Additives on the Main Properties of Phase Change Materials

Abstract: The main drawback of phase change materials (PCMs) is their low thermal conductivity, which limits the possibilities of a wide range of implementations. Therefore, the researchers, as found in the literature, proposed several methods to improve the thermal conductivity of PCMs, including inserting high thermal conductivity materials in nano-, micro-, and macro-scales, as well as encapsulation of PCMs. However, these inserts impact the other properties of PCMs like latent heat, melting temperature, thermal stab… Show more

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Cited by 21 publications
(6 citation statements)
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“…It happens that authors of numerical models carry out validation for a given design, but use a different PCM. Knowing how different the thermophysical properties of PCM [111,112] are and how complex the problem of determining the thermophysical properties of PCM [113] is, special attention should be paid to this issue.…”
Section: Discussionmentioning
confidence: 99%
“…It happens that authors of numerical models carry out validation for a given design, but use a different PCM. Knowing how different the thermophysical properties of PCM [111,112] are and how complex the problem of determining the thermophysical properties of PCM [113] is, special attention should be paid to this issue.…”
Section: Discussionmentioning
confidence: 99%
“…To improve the heat transfer conditions, modified fluids with different types of additives are used to obtain required thermodynamic parameters [64][65][66][67]. Aggregation of Nanoparticles in nanofluids results blocking of micro channels, decrease the thermal conductivity of nanofluids.…”
Section: Enhancing the Stabilization Of Nanofluidsmentioning
confidence: 99%
“…D e = kλ β pw cos θ (16) where k = 0.89 and it is a shape factor. The X-ray diffraction method was also used in the [35] in order to assess the crystallographic structure and phase composition of nanoadditives.…”
Section: Nanoparticle Size Analysismentioning
confidence: 99%