Optimization study of multiple-stage PCMs thermal energy storage system employing continuous topology optimization model

Journal of Energy Storage, Год журнала: 2025, Номер 110, С. 115279 - 115279

Опубликована: Янв. 11, 2025

Язык: Английский

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Advances in Numerical Modeling for Heat Transfer and Thermal Management: A Review of Computational Approaches and Environmental Impacts

Energies, Год журнала: 2025, Номер 18(5), С. 1302 - 1302

Опубликована: Март 6, 2025

Advances in numerical modeling are essential for heat-transfer applications electronics cooling, renewable energy, and sustainable construction. This review explores key methods like Computational Fluid Dynamics (CFD), the Finite Element Method (FEM), Volume (FVM), multiphysics modeling, alongside emerging strategies such as Adaptive Mesh Refinement (AMR), machine learning (ML), reduced-order (ROM), high-performance computing (HPC). While these techniques improve accuracy efficiency, they also increase computational energy demands, contributing to a growing carbon footprint sustainability concerns. Sustainable practices, including energy-efficient algorithms renewable-powered data centers, offer potential solutions. Additionally, increasing consumption highlights need optimization mitigate environmental impact. Future directions point quantum computing, adaptive models, green pathways thermal management modeling. study systematically reviews latest advancements and, first time, provides an in-depth exploration of roles management. outlines roadmap efficient, environmentally responsible models meet evolving demands.

Язык: Английский

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Additively manufactured hybridized heat sinks co-optimized for simultaneous thermal enhancement and weight reduction

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126135 - 126135

Опубликована: Март 1, 2025

Язык: Английский

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Performance improvement evaluation of latent heat energy storage units using improved bi-objective topology optimization method

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

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Data-driven multi-fidelity topology design of fin structures for latent heat thermal energy storage

Applied Energy, Год журнала: 2024, Номер 377, С. 124596 - 124596

Опубликована: Окт. 1, 2024

Язык: Английский

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Comparative study on topology optimization of microchannel heat sink by using different multi-objective algorithms and objective functions

Applied Thermal Engineering, Год журнала: 2024, Номер 252, С. 123606 - 123606

Опубликована: Июнь 7, 2024

To address the challenges of low computational efficiency, poor solution quality, and difficulty in accurately synergistically optimizing heat transfer reducing flow loss multi-objective topology optimization microchannel sinks, this study innovatively proposes a model based on ε-constraint algorithm. Moreover, functions are constructed using different single-objectives: amount JQ temperature variance JTV. For improvement methods, double-interpolation concept improved q-parameterized interpolation function is used to alter continuity distribution state density design variable ξ. The adjoint-based discrete sensitivity Global Convergent Moving Asymptotic Algorithm implement iterative update structure. result shows: optimized structures its performance parameters evolve regularly with weight coefficients functions, revealing mechanism variables, trade-off game between structure performance; convergence stability algorithm significantly compared traditional normalized Simple Additive Weighting model, efficiency representative case relatively by 40.4%. effectively suppresses grayscale area intermediate range, thereby achieving higher-quality solutions more consistent physical laws. responds JTV, corresponding can achieve maximum exchange optimal uniformity under minimum fluid energy consumption, respectively.

Язык: Английский

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Heat transfer characteristics of topology-optimized fins in latent heat storage systems

Applied Thermal Engineering, Год журнала: 2024, Номер 250, С. 123480 - 123480

Опубликована: Май 27, 2024

Язык: Английский

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Multi-objective topology optimization design of liquid-based cooling plate for 280 Ah prismatic energy storage battery thermal management

Energy Conversion and Management, Год журнала: 2024, Номер 325, С. 119440 - 119440

Опубликована: Дек. 26, 2024

Язык: Английский

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Lightweighting strategies for optimized thermal energy Storage: Topology optimization of heat exchanger fins

Applied Thermal Engineering, Год журнала: 2024, Номер 254, С. 123855 - 123855

Опубликована: Июль 2, 2024

Язык: Английский

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Flow and heat transfer improvement in microfluidic thermal camouflage film by topology optimization

International Communications in Heat and Mass Transfer, Год журнала: 2025, Номер 162, С. 108626 - 108626

Опубликована: Фев. 4, 2025

Язык: Английский

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