Discharging process within a renewable energy storage system via numerical simulation in existence of water based nanomaterial

Meshari A. Al-Ebrahim; Mohammed N. Ajour; Nidal H. Abu-Hamdeh; Hussein A.Z. AL-bonsrulah; Abed Saif Alghawli

doi:10.1016/j.est.2023.108664

Discharging process within a renewable energy storage system via numerical simulation in existence of water based nanomaterial

Meshari A. Al-Ebrahim
, Mohammed N. Ajour
, Nidal H. Abu-Hamdeh
, Hussein A.Z. AL-bonsrulah
, Abed Saif Alghawli

Computer Sciences

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

To develop the sinusoidal container, three rectangular fins were utilized in current work to boost the rate of freezing. The mixture of H₂O and CuO nanomaterial were used as NEPCM. FEM modeling for various ranges of size and concentration of nanoparticles have been presented. Good agreement in validation test has been reported. The longest process belongs to the water case and it takes 303.76 s to complete the process. With change of dp from 30 nm to middle size, the required time drops about 19.95 %. Dispersing nano-powders with the best size and greatest concentration leads to lessening of needed time by about 41.21 %.

Original language	English
Article number	108664
Journal	Journal of Energy Storage
Volume	72
DOIs	https://doi.org/10.1016/j.est.2023.108664
State	Published - 15 Nov 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Extended surface
FEM
Freezing
Nano-powders
Numerical time

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10.1016/j.est.2023.108664

Cite this

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title = "Discharging process within a renewable energy storage system via numerical simulation in existence of water based nanomaterial",

abstract = "To develop the sinusoidal container, three rectangular fins were utilized in current work to boost the rate of freezing. The mixture of H2O and CuO nanomaterial were used as NEPCM. FEM modeling for various ranges of size and concentration of nanoparticles have been presented. Good agreement in validation test has been reported. The longest process belongs to the water case and it takes 303.76 s to complete the process. With change of dp from 30 nm to middle size, the required time drops about 19.95 \%. Dispersing nano-powders with the best size and greatest concentration leads to lessening of needed time by about 41.21 \%.",

keywords = "Extended surface, FEM, Freezing, Nano-powders, Numerical time",

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doi = "10.1016/j.est.2023.108664",

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T1 - Discharging process within a renewable energy storage system via numerical simulation in existence of water based nanomaterial

AU - Al-Ebrahim, Meshari A.

AU - Ajour, Mohammed N.

AU - Abu-Hamdeh, Nidal H.

AU - AL-bonsrulah, Hussein A.Z.

AU - Alghawli, Abed Saif

PY - 2023/11/15

Y1 - 2023/11/15

N2 - To develop the sinusoidal container, three rectangular fins were utilized in current work to boost the rate of freezing. The mixture of H2O and CuO nanomaterial were used as NEPCM. FEM modeling for various ranges of size and concentration of nanoparticles have been presented. Good agreement in validation test has been reported. The longest process belongs to the water case and it takes 303.76 s to complete the process. With change of dp from 30 nm to middle size, the required time drops about 19.95 %. Dispersing nano-powders with the best size and greatest concentration leads to lessening of needed time by about 41.21 %.

AB - To develop the sinusoidal container, three rectangular fins were utilized in current work to boost the rate of freezing. The mixture of H2O and CuO nanomaterial were used as NEPCM. FEM modeling for various ranges of size and concentration of nanoparticles have been presented. Good agreement in validation test has been reported. The longest process belongs to the water case and it takes 303.76 s to complete the process. With change of dp from 30 nm to middle size, the required time drops about 19.95 %. Dispersing nano-powders with the best size and greatest concentration leads to lessening of needed time by about 41.21 %.

KW - Extended surface

KW - FEM

KW - Freezing

KW - Nano-powders

KW - Numerical time

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DO - 10.1016/j.est.2023.108664

M3 - Article

AN - SCOPUS:85168008585

SN - 2352-152X

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JO - Journal of Energy Storage

JF - Journal of Energy Storage

M1 - 108664

ER -

Discharging process within a renewable energy storage system via numerical simulation in existence of water based nanomaterial

Abstract

UN SDGs

Keywords

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