2019
DOI: 10.1016/j.molliq.2018.10.151
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Nanoparticle enhanced PCM applications for intensification of thermal performance in building: A review

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Cited by 173 publications
(32 citation statements)
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“…Thus, for example, reliable information regarding dynamic viscosity is necessary to estimate the pressure drop and pumping power in those cases in which work in the liquid phase requires a pumping system [56,77]. Likewise, surface tension is related to the crystallization ability of materials, whereas volumetric properties are required to determine volume changes during phase change or due to the effect of temperature [79,80]. Additionally, an accurate characterization of these physical and thermal properties is also necessary to describe melt convection heat transfer response by means of different non-dimensional ratios such as Nusselt, Rayleigh, Stefan, or Fourier numbers.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, for example, reliable information regarding dynamic viscosity is necessary to estimate the pressure drop and pumping power in those cases in which work in the liquid phase requires a pumping system [56,77]. Likewise, surface tension is related to the crystallization ability of materials, whereas volumetric properties are required to determine volume changes during phase change or due to the effect of temperature [79,80]. Additionally, an accurate characterization of these physical and thermal properties is also necessary to describe melt convection heat transfer response by means of different non-dimensional ratios such as Nusselt, Rayleigh, Stefan, or Fourier numbers.…”
Section: Introductionmentioning
confidence: 99%
“…Inorganic PCMs are basically salt hydrates (most used), molten salts, or metals and are of higher densities and energy efficiency than organics [95] with the merits of wider transition temperature range, high latent heat and high thermal conductivity [62], besides, they are non-toxic, non-flammable and of low cost, compared to organic PCMs [96]. On the other hand, super cooling, phase segregation, lack of thermal stability, corrosion and decomposition, are drawbacks which dominates their benefits [97].…”
Section: Figurementioning
confidence: 99%
“…Recently, the applications of Neural Network have been significantly increased in various engineering and industrial applications . Scholars and researchers have widely applied this method for the estimation of the results.…”
Section: Application Of Gmdh‐type Nn For Modeling Of the Problemmentioning
confidence: 99%