Review on numerical simulations for nano-enhanced phase change material (NEPCM) phase change process

Irwan, M. A. M.; Azwadi, C. S. Nor; Asako, Yutaka; Ghaderian, Javad

doi:10.1007/s10973-019-09038-2

Cited by 15 publications

(9 citation statements)

References 71 publications

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“…43 However, the predicted required time for complete melting is very close to the experimental finding, between 70 and 80 minutes. On the other hand, the predictions of the present work are very close to those of Hosseinizadeh et al 40 T A B L E 1 Phase change enthalpy, Onset, Peak, and End temperatures, and area under the curve intervals. F I G U R E 9 Specific heat capacity of the PCMs.…”

Section: Validationsupporting

confidence: 89%

“…For the Boussinesq approximation, the following equation is used 39 :

{normalρ}_{liquid} = \frac{ρ_{liquidus}}{β (T - T_{liquidus}) + 1},

where

β

is the thermal expansion coefficient equal to 0.00091 K −1 40 for Octadecane. The mixing rule was used to obtain the density of the NEPCMs 41 :

{normalρ}_{NEPCM} = (1 - ϕ) {normalρ}_{PCM} + ϕ {normalρ}_{np},

where

ϕ

is the volumetric concentration of nanoparticles, in this case, equal to 0.0030 and 0.0062 for NEPCM 2.5 and 5.0 wt% CuO, respectively. The density of Octadecane (

{normalρ}_{PCM}

) is equal to 865 kg/m 3 in solid phase and 770 kg/m 3 in liquid phase, 40 and

{normalρ}_{np}

is the density of nanoparticles equal to 6510 kg/m 3 15,27 .…”

Section: Methodsmentioning

confidence: 99%

“…where ϕ is the volumetric concentration of nanoparticles, in this case, equal to 0.0030 and 0.0062 for NEPCM 2.5 and 5.0 wt% CuO, respectively. The density of Octadecane (ρ PCM ) is equal to 865 kg/m 3 in solid phase and 770 kg/m 3 in liquid phase, 40 and ρ np is the density of nanoparticles equal to 6510 kg/m 3 . 15,27 The volumetric concentration can be calculated using the density of Octadecane and nanoparticles, and the mass concentrations (ϕ m ) of CuO equivalent to 2.5 and 5.0 wt%.…”

Section: Computational Settings and Thermophysical Propertiesmentioning

confidence: 99%

“…According to the literature, 18,[37][38][39][40]42 the initial temperature does not influence the outcome of the phase change, but the capsule diameter and the temperature gradient certainly affect such a process. Therefore, the diameter, the thermal gradient, and the initial temperature have been left constant since this work aims to study the effect of nanoparticle concentration.…”

Section: Computational Settings and Thermophysical Propertiesmentioning

confidence: 99%

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Numerical prediction of the solidification and melting of encapsulated nano‐enhanced phase change materials

Cofré‐Toledo,

Muñoz‐Cuevas,

Jofré‐Severino

et al. 2023

Energy Storage

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The thermal properties of Octadecane vary due to the addition of copper oxide (CuO) nanoparticles. The synthesis of two nano‐enhanced phase change material (NEPCM) required the implementation of the two‐step method, using Octadecane as the base phase change material and CuO nanoparticles at 2.5 and 5.0 wt%. The experimental characterization determined the specific heat capacity, and thermal conductivity of the NEPCMs solid phase, including phase change enthalpy and temperature. These experimental results were then utilized for computational simulation of the thermal charging (solidification) and discharging (melting) processes of NEPCMs within a spherical enclosure, employing the ANSYS/Fluent software. The incorporation of CuO nanoparticles led to an increase in thermal conductivity while causing a decrease in specific heat capacity, enthalpy, and phase change temperature of Octadecane. The computational results revealed a reduction in the melting period and an improvement in the solidification of both NEPCMs. In terms of melting, the convective heat transfer coefficient increased by approximately 27.4% and 3.2% for the NEPCM at 2.5 and 5.0 wt% CuO, respectively. During the solidification process, the overall heat transfer coefficient experienced a significant increase of 43.8% and 59.8% for the NEPCM at 2.5 and 5.0 wt%, respectively.

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Section: Validationsupporting

confidence: 89%

“…For the Boussinesq approximation, the following equation is used 39 :

{normalρ}_{liquid} = \frac{ρ_{liquidus}}{β (T - T_{liquidus}) + 1},

where

β

is the thermal expansion coefficient equal to 0.00091 K −1 40 for Octadecane. The mixing rule was used to obtain the density of the NEPCMs 41 :

{normalρ}_{NEPCM} = (1 - ϕ) {normalρ}_{PCM} + ϕ {normalρ}_{np},

where

ϕ

is the volumetric concentration of nanoparticles, in this case, equal to 0.0030 and 0.0062 for NEPCM 2.5 and 5.0 wt% CuO, respectively. The density of Octadecane (

{normalρ}_{PCM}

) is equal to 865 kg/m 3 in solid phase and 770 kg/m 3 in liquid phase, 40 and

{normalρ}_{np}

is the density of nanoparticles equal to 6510 kg/m 3 15,27 .…”

Section: Methodsmentioning

confidence: 99%

Section: Computational Settings and Thermophysical Propertiesmentioning

confidence: 99%

Section: Computational Settings and Thermophysical Propertiesmentioning

confidence: 99%

See 2 more Smart Citations

Numerical prediction of the solidification and melting of encapsulated nano‐enhanced phase change materials

Cofré‐Toledo,

Muñoz‐Cuevas,

Jofré‐Severino

et al. 2023

Energy Storage

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show abstract

“…The spatial details of the heat transfer coefficient, temperature, velocity, and phase fraction can be extracted from the numerical data, which are difficult to obtain from experiments. , The inner mechanisms of various phase change flows can be divided into processes with gas–liquid, liquid–solid, and both gas–liquid and liquid–solid phase changes. Previous publications have extensively reviewed the application and numerical simulation of the pure gas–liquid phase change flows ,− or pure liquid–solid phase change flows, − while little attention has been devoted to the hybrid phase change systems . As the numerical models for complex multiphase processes with a hybrid phase change are mainly based on coupled gas–liquid and liquid–solid models, the current work concentrates on thoroughly evaluating the CFD simulations of gas–liquid and/or liquid–solid phase change processes in the past five years, as depicted in Figure (b).…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in CFD Simulations of Multiphase Flow Processes with Phase Change

Zhu

Zhang

et al. 2023

Ind. Eng. Chem. Res.

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Phase change is a phenomenon that has been extensively utilized in chemical engineering, energy, electronics, vehicle, and space exploration. From both the science and engineering perspectives, gaining a profound understanding of the intricacies of multiphase flow processes accompanied by heat and mass transfer due to phase change is of fundamental importance. Indeed, the computational fluid dynamics (CFD) has been increasingly applied as an effective tool to give an in-depth and efficient analysis of the phase change processes, thereby enhancing our understanding and capacity to control and optimize the phase change effects in these processes. This paper seeks to provide a comprehensive review of the utilization of CFD methodologies in the simulations of phase change flows across various applications, including temperature management, drying, separation and purification, and others. First, the CFD models at various scales that are developed to elucidate the phase change processes are summarized. Second, the noteworthy advances in the recent CFD simulation work on various phase change processes are presented, respectively. Finally, the challenges and potential prospects to facilitate the application of the phase change flow are discussed. The current review aims to offer insightful guidance for the CFD modeling of phase change processes in numerous engineering application scenarios.

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Thermophysical characterization and melting heat transfer analysis of an organic phase change material dispersed with GNP- Ag hybrid nanoparticles

Radhakrishnan

Sobhan

2022

Heat Mass Transfer

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Review on numerical simulations for nano-enhanced phase change material (NEPCM) phase change process

Cited by 15 publications

References 71 publications

Numerical prediction of the solidification and melting of encapsulated nano‐enhanced phase change materials

Numerical prediction of the solidification and melting of encapsulated nano‐enhanced phase change materials

Recent Advances in CFD Simulations of Multiphase Flow Processes with Phase Change

Thermophysical characterization and melting heat transfer analysis of an organic phase change material dispersed with GNP- Ag hybrid nanoparticles

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