2021
DOI: 10.1016/j.ijheatmasstransfer.2020.120639
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Evaluation of thermal conductivity of organic phase-change materials from equilibrium and non-equilibrium computer simulations: Paraffin as a test case

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Cited by 34 publications
(31 citation statements)
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“…As we proceed to show, crystallization as well as many thermophysical, structural, and dynamic properties of n-eicosane depend critically on the rate with which cooling is performed in computer simulations. This implies that the cooling rate is one of the most important parameters of computer modeling of paraffins, along with force fields [15][16][17][18] and various algorithms for calculating the thermal conductivity [17,18]. Our computational findings could therefore serve as a basis for an accurate description of the crystallization behavior of organic PCMs such as paraffins.…”
Section: Introductionmentioning
confidence: 88%
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“…As we proceed to show, crystallization as well as many thermophysical, structural, and dynamic properties of n-eicosane depend critically on the rate with which cooling is performed in computer simulations. This implies that the cooling rate is one of the most important parameters of computer modeling of paraffins, along with force fields [15][16][17][18] and various algorithms for calculating the thermal conductivity [17,18]. Our computational findings could therefore serve as a basis for an accurate description of the crystallization behavior of organic PCMs such as paraffins.…”
Section: Introductionmentioning
confidence: 88%
“…Recently, we showed that this force field provided a reasonable description of the thermophysical, structural, and dynamic properties of n-eicosane [15]. Furthermore, this force field was found to outperform 9 other atomistic force fields as far as the thermal conductivity is concerned [17]. A paraffin sample consisted of 1000 n-eicosane chains, so that the total number of atoms in a system amounted to 62000.…”
Section: Methodsmentioning
confidence: 99%
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“…All MD simulations in the present study have been carried out using the all-atom General Amber Force Field (GAFF) [25] which was previously shown to give accurate results [24] for TC of paraffin. Polyethylene chains were drawn with Amber-Tools20 (ambermd.org), and together with the force-field parameters made ready for simulation in the GROMACS MD software package [26,27] using AnteChamber PYthon Parser interfacE (ACPYPE) [28,29] .…”
Section: Simulation Details and Analysis Methodsmentioning
confidence: 99%
“…As an important thermal property parameter for the practical application of PCM, thermal conductivity was calculated here using the nonequilibrium molecular dynamics. According to Fourierʼs law, the thermal conductivity can be expressed as where A is the cross-sectional area of the model, Q is the heat through the cross-sectional area, x 1 and x 2 are the distances between the heat sink and heat sources, and T is the temperature. The calculation of thermal conductivity was not involved in previous research of optically controlled phase change materials.…”
Section: Simulation Detailsmentioning
confidence: 99%