Discharging process within a storage container considering numerical method

S. Bourazza; Sami H. Altoum; Hamdi Ayed; Hassen Loukil; Muhammed I. Syam; Sondos M. Syam; Abd Elmotaleb A.M.A. Elamin

doi:10.1016/j.est.2023.107490

Discharging process within a storage container considering numerical method

S. Bourazza, Sami H. Altoum, Hamdi Ayed, Hassen Loukil, Muhammed I. Syam, Sondos M. Syam, Abd Elmotaleb A.M.A. Elamin

Department of Mathematical Sciences

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

1 Citation (Scopus)

Abstract

Numerical method for simulating the influence of loading CuO nano-powders on freezing process was scrutinized in present essay considering the triangular enclosure in existence of fin. The process has been modeled via Galerkin method incorporating adaptive grid and transient terms have been discretized based on implicit technique. The formulas with assumption of homogeneous mixture approximation were incorporated to predict the features of mixture incorporating the impact of nanoparticles and diameter. Verification for current code has been presented which indicates that good accuracy can be achieved. Based on output, loading powder makes the freezing to expedite about 41.24 % which is associated with augmentation of conduction. Also, with alter of dp from minimum to optimum size, the freezing time declines about 20 % while augmenting dp more than this value makes the completion time to augment about 49.28 %.

Original language	English
Article number	107490
Journal	Journal of Energy Storage
Volume	66
DOIs	https://doi.org/10.1016/j.est.2023.107490
Publication status	Published - Aug 30 2023

Keywords

Galerkin
Numerical simulation
Radius of nanoparticles
Solidification
Triangular grid

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Electrical and Electronic Engineering

UN SDGs

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

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10.1016/j.est.2023.107490

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@article{2018051dabd14149aa06895347d0f4a9,

title = "Discharging process within a storage container considering numerical method",

abstract = "Numerical method for simulating the influence of loading CuO nano-powders on freezing process was scrutinized in present essay considering the triangular enclosure in existence of fin. The process has been modeled via Galerkin method incorporating adaptive grid and transient terms have been discretized based on implicit technique. The formulas with assumption of homogeneous mixture approximation were incorporated to predict the features of mixture incorporating the impact of nanoparticles and diameter. Verification for current code has been presented which indicates that good accuracy can be achieved. Based on output, loading powder makes the freezing to expedite about 41.24 % which is associated with augmentation of conduction. Also, with alter of dp from minimum to optimum size, the freezing time declines about 20 % while augmenting dp more than this value makes the completion time to augment about 49.28 %.",

keywords = "Galerkin, Numerical simulation, Radius of nanoparticles, Solidification, Triangular grid",

author = "S. Bourazza and Altoum, {Sami H.} and Hamdi Ayed and Hassen Loukil and Syam, {Muhammed I.} and Syam, {Sondos M.} and Elamin, {Abd Elmotaleb A.M.A.}",

note = "Funding Information: The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/31/44 . Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = aug,

day = "30",

doi = "10.1016/j.est.2023.107490",

language = "English",

volume = "66",

journal = "Journal of Energy Storage",

issn = "2352-152X",

publisher = "Elsevier BV",

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TY - JOUR

T1 - Discharging process within a storage container considering numerical method

AU - Bourazza, S.

AU - Altoum, Sami H.

AU - Ayed, Hamdi

AU - Loukil, Hassen

AU - Syam, Muhammed I.

AU - Syam, Sondos M.

AU - Elamin, Abd Elmotaleb A.M.A.

N1 - Funding Information: The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/31/44 . Publisher Copyright: © 2023

PY - 2023/8/30

Y1 - 2023/8/30

N2 - Numerical method for simulating the influence of loading CuO nano-powders on freezing process was scrutinized in present essay considering the triangular enclosure in existence of fin. The process has been modeled via Galerkin method incorporating adaptive grid and transient terms have been discretized based on implicit technique. The formulas with assumption of homogeneous mixture approximation were incorporated to predict the features of mixture incorporating the impact of nanoparticles and diameter. Verification for current code has been presented which indicates that good accuracy can be achieved. Based on output, loading powder makes the freezing to expedite about 41.24 % which is associated with augmentation of conduction. Also, with alter of dp from minimum to optimum size, the freezing time declines about 20 % while augmenting dp more than this value makes the completion time to augment about 49.28 %.

AB - Numerical method for simulating the influence of loading CuO nano-powders on freezing process was scrutinized in present essay considering the triangular enclosure in existence of fin. The process has been modeled via Galerkin method incorporating adaptive grid and transient terms have been discretized based on implicit technique. The formulas with assumption of homogeneous mixture approximation were incorporated to predict the features of mixture incorporating the impact of nanoparticles and diameter. Verification for current code has been presented which indicates that good accuracy can be achieved. Based on output, loading powder makes the freezing to expedite about 41.24 % which is associated with augmentation of conduction. Also, with alter of dp from minimum to optimum size, the freezing time declines about 20 % while augmenting dp more than this value makes the completion time to augment about 49.28 %.

KW - Galerkin

KW - Numerical simulation

KW - Radius of nanoparticles

KW - Solidification

KW - Triangular grid

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DO - 10.1016/j.est.2023.107490

M3 - Article

AN - SCOPUS:85153677858

SN - 2352-152X

VL - 66

JO - Journal of Energy Storage

JF - Journal of Energy Storage

M1 - 107490

ER -

Discharging process within a storage container considering numerical method

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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