Multi-objective prediction and optimization of performance of three-layer latent heat storage unit based on intermittent charging and discharging strategies DOI
Chenyu Zhang, Zhenjun Ma, Zhiguo Qu

и другие.

Renewable Energy, Год журнала: 2024, Номер 225, С. 120329 - 120329

Опубликована: Март 13, 2024

Язык: Английский

A review of fin application for latent heat thermal energy storage enhancement DOI

Zheng Hua Low,

Zhen Qin, Fei Duan

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 85, С. 111157 - 111157

Опубликована: Март 5, 2024

Язык: Английский

Процитировано

30

Investigation of numerical phase transition of nano-enhanced SiC/paraffin wax PCM in solar-assisted water desalination system DOI
H. Fayaz, S. Ramesh, Asif Afzal

и другие.

Thermal Science and Engineering Progress, Год журнала: 2024, Номер 50, С. 102528 - 102528

Опубликована: Март 16, 2024

Язык: Английский

Процитировано

17

Effect of novel fin distribution on the melting process of thermal storage units DOI
Naef A.A. Qasem, Abdeldjalil Belazreg, Yacine Khetib

и другие.

Applied Thermal Engineering, Год журнала: 2024, Номер 243, С. 122547 - 122547

Опубликована: Янв. 30, 2024

Язык: Английский

Процитировано

9

Performance improvement evaluation of latent heat energy storage units using improved bi-objective topology optimization method DOI Creative Commons
Jiahao Wang, Xiaomin Liu, Umberto Desideri

и другие.

Applied Energy, Год журнала: 2024, Номер 364, С. 123131 - 123131

Опубликована: Апрель 3, 2024

Latent heat thermal energy storage (LHTES) based on phase change materials is one of the key technologies to improve utilization efficiency and alleviate mismatch between supply demand. Heat capacity charging/discharging rate are two core factors that determine comprehensive performance LHTES units. So a bi-objective transient topology optimization(TO) model established freely evolve optimal structure volume fraction fins maximize transfer ensuring high capacity. The optimization function coupling constructed by normalized SAW model. TO formulated using variable density-based design variables grid cells in physical governing equations, objective functions constraints. Helmholtz PDE filtering hyperbolic tangent projection methods employed achieve high-precision solutions. Complex multi-physics field iterative calculations performed adjoint-based sensitivity analysis method GCMMA algorithm. Results demonstrate dynamics response at each iteration can more clearly exhibit evolutionary direction mechanism seeking structures. Pareto frontier indicates responds significantly changes weight ratio ω1:ω2, which also reveals trade-off game among fin formation, state parameters distribution changes. Optimal configurations its regularly with ω1:ω2 decreasing, has an demonstrable mutations occurring ω1 = 0.65(ω2 0.35). scattered uniform multi-branch regulating state. Therefore, TO-fins exhibits extremely rate, time traditional trapezoid approximately three times longer than under 0.65:0.35.

Язык: Английский

Процитировано

9

The Contribution of Artificial Intelligence to Phase Change Materials in Thermal Energy Storage: From Prediction to Optimization DOI
Shuli Liu,

Junrui Han,

Yongliang Shen

и другие.

Renewable Energy, Год журнала: 2024, Номер unknown, С. 121973 - 121973

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

6

Design improvement of latent heat thermal energy storage in wavy channel enclosures using neural networks DOI
Hakim S. Sultan Aljibori,

Mohammed Hasan Ali,

Jana Shafi

и другие.

Journal of Energy Storage, Год журнала: 2023, Номер 79, С. 110061 - 110061

Опубликована: Дек. 29, 2023

Язык: Английский

Процитировано

13

A new approach for selecting and implementing phase change materials in Kuwaiti Buildings: Practical considerations DOI
Ahmad Sedaghat, Khalil Khanafer, Rasool Kalbasi

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 88, С. 111477 - 111477

Опубликована: Апрель 4, 2024

Язык: Английский

Процитировано

5

Melting enhancement of latent heat thermal energy storage by implementing new geometric design DOI

Nategheh Najafpour,

Omid Adibi

Applied Thermal Engineering, Год журнала: 2023, Номер 239, С. 122066 - 122066

Опубликована: Ноя. 19, 2023

Язык: Английский

Процитировано

9

Optimizing and investigating the charging time of phase change materials in a compact-latent heat storage using pareto front analysis, artificial neural networks, and numerical simulations DOI

Zhongbiao Zheng,

Gongxing Yan, Azher M. Abed

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 102, С. 113966 - 113966

Опубликована: Окт. 5, 2024

Язык: Английский

Процитировано

3

Modelling of PCM based composite heat sink under varying ambient conditions: A data driven approach DOI

Sreenath V.R.,

Samarjeet Chanda

Thermal Science and Engineering Progress, Год журнала: 2025, Номер unknown, С. 103193 - 103193

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0