Evaluation of different melting performance enhancement structures in a shell-and-tube latent heat thermal energy storage system

Ge, Ruihuan; Li, Qi; Li, Chuan; Liu, Qing

doi:10.1016/j.renene.2022.01.097

Cited by 45 publications

(6 citation statements)

References 38 publications

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“…[ 159 ] These efforts produce metal structures that are generally fabricated to be porous for backfilling with PCM and focus on optimizing geometries that encourage rapid charging/discharging of the PCM. [ 86–88,134–164,168 ] The backfilling of metallic AM devices with bulk PCM capitalizes on high thermal conductivities, leak‐resistant structures, and considerable PCM volumes for high energy capacity. A few AM metallic structures have sought to use the metal as the PCM.…”

Section: Advanced Materials and Additive Manufacturing For Phase Chan...mentioning

confidence: 99%

“…[113,129,145] Other PCMs used include a sugar alcohol, fatty alcohol, fatty acid, and water. [116,132,137,146,147] Commercialized PCMs are routinely utilized given the variety of transition temperatures and are available both in neat [87,93,94,112,[148][149][150][151][152][153][154][155][156][157][158][159][160][161][162][163] and microencapsulated forms. [97,111,112] In an example of a metal PCM, researchers capitalized on the solid-state transition of a nickel titanium alloy from monoclinic Martensite configurations to a cubic Austenite lattice for AM metallic parts.…”

Section: Pcms Used In Additive Manufacturingmentioning

confidence: 99%

“…In AM PCM devices, aluminum-silicon alloys, commonly containing magnesium, have been the most widely used due to their high strength-to-weight ratio, corrosion resistance, and ease of powder processing through laser sintering. The most common alloy is AlSi10Mg, [86][87][88]134,135,137,141,[144][145][146]150,152,[160][161][162] but other aluminum-silicon formulations [142,143,148,154] and aluminum alloys [123,136,138,149,151,[157][158][159]168] have also been used. Other metals printed for PCM applications have included copper alloys, [139,159] steel alloys, [156,159] nickel alloys, [124] and titanium alloys.…”

Section: Powder Materialsmentioning

confidence: 99%

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Advanced Materials and Additive Manufacturing for Phase Change Thermal Energy Storage and Management: A Review

Freeman

Foster

Troxler

et al. 2023

Advanced Energy Materials

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Phase change materials (PCMs) can enhance the performance of energy systems by time shifting or reducing peak thermal loads. The effectiveness of a PCM is defined by its energy and power density-the total available storage capacity (kWh m −3 ) and how fast it can be accessed (kW m −3 ). These are influenced by both material properties as well as geometry of the energy systems; however, prior efforts have primarily focused on improving material properties, namely, maximizing latent heat of fusion and increasing thermal conductivity. The latter is often at the expense of the former. Advanced manufacturing techniques hold tremendous potential to enable co-optimization of material properties and device geometry, while potentially reducing material waste and manufacturing time. There is an emerging body of research focused on additive manufacturing of PCM composites and devices for thermal energy storage (TES) and thermal management. In this article, the fundamentals and applications of PCMs are reviewed and recent additive manufacturing advances in latent heat TES for both the PCM composite and associated heat exchanger are discussed. A forward-looking perspective on the future and potential of PCM additive manufacturing for TES and thermal management is provided.

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Section: Advanced Materials and Additive Manufacturing For Phase Chan...mentioning

confidence: 99%

Section: Pcms Used In Additive Manufacturingmentioning

confidence: 99%

Section: Powder Materialsmentioning

confidence: 99%

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Advanced Materials and Additive Manufacturing for Phase Change Thermal Energy Storage and Management: A Review

Freeman

Foster

Troxler

et al. 2023

Advanced Energy Materials

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“…Some novel fins have been proposed recently, such as topology-optimized fins, tree-shaped fins, and ladder-shaped fins. Ge et al [15] designed different topology-optimized fins and analyzed their thermal and economic performance. They concluded that optimized fins had the best thermal enhancement performance, and were cost-effective when the unit price ratio was less than 6.…”

Section: Introductionmentioning

confidence: 99%

Comparative study on heat transfer enhancement of metal foam and fins in a shell-and-tube latent heat thermal energy storage unit

Zhang¹,

Li²,

Yan³

et al. 2023

Energy Storage and Saving

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“…An increase in the thickness of the foam layer could change the heat transfer regimes and reduce the melting time. Ge et al [21] utilized several optimized shapes of fins in a horizontal shell-tube shape thermal energy storage. They compared the advantage of fins with metal foams.…”

Section: Introductionmentioning

confidence: 99%

Computational Modeling of Latent Heat Thermal Energy Storage in a Shell-Tube Unit: Using Neural Networks and Anisotropic Metal Foam

et al. 2022

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Latent heat storage in a shell-tube is a promising method to store excessive solar heat for later use. The shell-tube unit is filled with a phase change material PCM combined with a high porosity anisotropic copper metal foam (FM) of high thermal conductivity. The PCM-MF composite was modeled as an anisotropic porous medium. Then, a two-heat equation mathematical model, a local thermal non-equilibrium approach LTNE, was adopted to consider the effects of the difference between the thermal conductivities of the PCM and the copper foam. The Darcy–Brinkman–Forchheimer formulation was employed to model the natural convection circulations in the molten PCM region. The thermal conductivity and the permeability of the porous medium were a function of an anisotropic angle. The finite element method was employed to integrate the governing equations. A neural network model was successfully applied to learn the transient physical behavior of the storage unit. The neural network was trained using 4998 sample data. Then, the trained neural network was utilized to map the relationship between control parameters and melting behavior to optimize the storage design. The impact of the anisotropic angle and the inlet pressure of heat transfer fluid (HTF) was addressed on the thermal energy storage of the storage unit. Moreover, an artificial neural network was successfully utilized to learn the transient behavior of the thermal storage unit for various combinations of control parameters and map the storage behavior. The results showed that the anisotropy angle significantly affects the energy storage time. The melting volume fraction MVF was maximum for a zero anisotropic angle where the local thermal conductivity was maximum perpendicular to the heated tube. An optimum storage rate could be obtained for an anisotropic angle smaller than 45°. Compared to a uniform MF, utilizing an optimum anisotropic angle could reduce the melting time by about 7% without impacting the unit’s thermal energy storage capacity or adding weight.

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Evaluation of different melting performance enhancement structures in a shell-and-tube latent heat thermal energy storage system

Cited by 45 publications

References 38 publications

Advanced Materials and Additive Manufacturing for Phase Change Thermal Energy Storage and Management: A Review

Advanced Materials and Additive Manufacturing for Phase Change Thermal Energy Storage and Management: A Review

Comparative study on heat transfer enhancement of metal foam and fins in a shell-and-tube latent heat thermal energy storage unit

Computational Modeling of Latent Heat Thermal Energy Storage in a Shell-Tube Unit: Using Neural Networks and Anisotropic Metal Foam

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