Study on melting process of latent heat energy storage system by nano-enhanced phase change material under rotation condition

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 247, P. 123040 - 123040

Published: March 24, 2024

Language: Английский

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Thermal performance improvement of spherical encapsulated phase-change material by the metal fins

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 2384 - 2392

Published: Feb. 8, 2025

Language: Английский

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Solar photothermal utilization of coupled latent heat storage: A numerical and optimization study

Solar Energy Materials and Solar Cells, Journal Year: 2024, Volume and Issue: 271, P. 112864 - 112864

Published: April 19, 2024

Language: Английский

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Melting of PCM-graphite foam composites with contact thermal resistance: Pore-scale simulation

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 232, P. 125924 - 125924

Published: July 15, 2024

Language: Английский

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Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions

Energy, Journal Year: 2024, Volume and Issue: 305, P. 131722 - 131722

Published: May 19, 2024

Language: Английский

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Phase change heat storage and enhanced heat transfer based on metal foam under unsteady rotation conditions

Energy, Journal Year: 2024, Volume and Issue: 306, P. 132501 - 132501

Published: July 20, 2024

Language: Английский

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Exploring the impact of tube rotation on the melting performance of multi-tube latent heat storage systems: A numerical investigation

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 93, P. 112355 - 112355

Published: June 1, 2024

Language: Английский

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Usage of high-fidelity large eddy simulation to improve the turbulence modeling of Reynolds averaged navier stokes simulation in film cooling applications via a neural network

International Journal of Thermofluids, Journal Year: 2024, Volume and Issue: 23, P. 100718 - 100718

Published: June 3, 2024

In this study, high-Fidelity Large eddy simulation (LES) data was used to create a surrogate turbulence model enhance the estimation of turbulent heat flux in Reynolds averaged Navier Stokes (RANS) solver for film cooling applications. The LES (A flat plate application with number 17382, blowing ratio 1 and density 2) validated by comparison experimental data. A correlation analysis performed identify most influential parameters, temperature gradient, velocity dissipation rate, shear strain viscosity were selected as effective parameters. second developed Galilean-invariant that remains unaffected changes coordinate system. Neural network applied training propose modified dynamic Prandtl be k − ε realizable RANS simulation. first implemented two different geometries, one geometry similar but flow conditions, another more complex pressure gradient. only on produced results. models predicted accurate thermal field near wall (up-to 58% error reduction) computational time complexity base solver.

Language: Английский

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Optimal design on fin-metal foam hybrid structure for melting and solidification phase change storage: An experimental and numerical study

Energy, Journal Year: 2024, Volume and Issue: 302, P. 131813 - 131813

Published: May 26, 2024

Language: Английский

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Optimization of synthesis parameters for polyamide 610: Strategic tailoring for superior latent heat performance

Surfaces and Interfaces, Journal Year: 2024, Volume and Issue: 51, P. 104692 - 104692

Published: July 20, 2024

Language: Английский

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