Analysis of conduction mode in cold energy storage using a tank filled with nanomaterial DOI Creative Commons
Mashhour A. Alazwari, Ali Basem, Hussein A.Z. AL-bonsrulah

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер unknown, С. 105134 - 105134

Опубликована: Сен. 1, 2024

Язык: Английский

Integrating thermal phase-change material energy storage with solar collectors: A comprehensive review of techniques and applications DOI
Farooq H. Ali, Qusay Rasheed Al-Amir, Hameed K. Hamzah

и другие.

International Communications in Heat and Mass Transfer, Год журнала: 2025, Номер 162, С. 108606 - 108606

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

6

Performance optimization of thermal storage device based on bionic tree-shaped fins and eccentric arrangement DOI
Zilong Song, Jiao Wang, Zhenyu Shao

и другие.

International Communications in Heat and Mass Transfer, Год журнала: 2024, Номер 157, С. 107774 - 107774

Опубликована: Июль 15, 2024

Язык: Английский

Процитировано

12

Machine learning applications for predicting liquid fraction in a PV system with NEPCM and fins DOI Creative Commons

Mohammadreza Kiaghadi,

Moones Keshvarinia,

Faranack M. Boora

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 61, С. 104819 - 104819

Опубликована: Июль 14, 2024

The heat-absorbing and heat-releasing properties of phase-change materials (PCMs) at specific temperatures make them ideal for improving the thermal management solar systems. Thermal conductivity PCMs is increased when combined with nanoparticles, leading to significant improvements their ability manage transfer heat efficiently. objective this article anticipate liquid fraction (LF) a suitable level accuracy by utilizing machine learning predictive models in building-integrated photovoltaic (PV) system. Four different system configurations were proposed, namely PCM without fins, longitudinal additional nanomaterials Y-shaped fins. After accomplishing numerical simulation data, order save computational cost maintain accurate predictions, following chosen accomplish objective: linear regression, lasso polynomial an Auto-Regressive Integrated Moving Average (ARIMA) model. Then, comparison all cases, using root mean squared error (RMSE), as well absolute (MAE). ARIMA model had superior performance predicting LF, achieving RMSE 0.0149 MAE 0.0093. This technique has been used predict LF other situations. results indicated that case incorporating inclusion nanoparticles fins exhibited shortest time required reach value 1. approach study reduces reliability on computationally expensive simulations, which provides more efficient method optimizing PV also highlights potential enhance cells, contributing sustainable energy solutions.

Язык: Английский

Процитировано

5

Increment of solidification rate due to radiation and conduction mechanism in existence of porous container filled with nanomaterial DOI Creative Commons
Nidhal Becheikh, Ali Basem, Ahmad H. Milyani

и другие.

Case Studies in Thermal Engineering, Год журнала: 2024, Номер 61, С. 104850 - 104850

Опубликована: Июль 18, 2024

In current study, Galerkin techniques have been utilized to model the freezing behavior of a cold storage unit. The system features fins and porous foam, enhancing its efficiency in solidifying liquids. Additionally, hybrid nanoparticles introduced into water improve conductivity. energy equation has augmented with new term for radiation mode, alongside source freezing. With goal determining amounts scalars at each node, consists two equations. Mesh adaptation employed accommodate dynamic nature process. Validation against previous data demonstrates good agreement, bolstering reliability simulation. introduction foam domain results significant enhancement rate, an increase about 90.75 %. Furthermore, scenarios without mixing nano-powders surge factor contribute notable reductions completion time, decreases approximately 12.52 % 8 %, respectively. By combining all these techniques, considerable reduction solidification time can be achieved, amounting around 91.46 This highlights importance comprehensive approach improving efficiency. units through advanced this research contributes sustainable use natural resources, highlighting potential reducing consumption minimizing environmental impact.

Язык: Английский

Процитировано

5

Thermal analysis of cold saving system via numerical modeling incorporating nanomaterial DOI

Yahya Ali Rothan

Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Язык: Английский

Процитировано

5

Thermal management of NEPCM during freezing considering conduction mechanism DOI

Ahmad Shafee,

Ali Basem, Hussein A.Z. AL-bonsrulah

и другие.

Journal of Thermal Analysis and Calorimetry, Год журнала: 2024, Номер 149(23), С. 14355 - 14371

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

5

Simulation of cold storage process via Galerkin approach implementing nanoparticles DOI Creative Commons
Wajdi Rajhi, Ali Basem,

Ziyad Jamil Talabany

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105758 - 105758

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Thermal simulation of hybrid nanomaterial-assisted freezing in porous media DOI Creative Commons

Ali Al Khabyah

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105787 - 105787

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Numerical Analysis of Aerodynamic and Thermal Performance of Streamline Heat Pipe Heat Exchanger Assisted by Fins DOI Creative Commons
Weicheng Qi,

Yuan-wei Lyu,

Hong-Gang Zeng

и другие.

Aerospace, Год журнала: 2025, Номер 12(3), С. 163 - 163

Опубликована: Фев. 20, 2025

This study numerically explores the feasibility of a streamlined heat pipe exchanger in precooling technology supersonic vehicles. Emphasis has been placed on role fins installed condensation section affecting aerodynamic and thermal characteristics streamline exchanger. The results show that installation effectively improved overall transfer capacity temperature drop with is up to 685 K, which 20 K larger than case without fins. Simultaneously, resulted 6.4% 25.4% increases pressure loss coefficient evaporation compared are closely related mass flow rate intake air kerosene (RP-3). positively RP-3. In contrast, as qa increases, exchange per decreases, outlet correspondingly. section, qRP-3 first then remains unchanged, its decreases. positive qRP-3. obtained this significant because they can provide technical support high performance exchangers.

Язык: Английский

Процитировано

0

Deep learning-based Adam optimization for magnetohydrodynamics radiative thin film flow of ternary hybrid nanofluid with oscillatory boundary conditions DOI
Jian Wang, Maddina Dinesh Kumar, S. Mamatha Upadhya

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 196, С. 116448 - 116448

Опубликована: Апрель 19, 2025

Язык: Английский

Процитировано

0