Solidification process of hybrid nano-enhanced phase change material in a LHTESS with tree-like branching fin in the presence of thermal radiation

Hosseinzadeh, Kh.; Alizadeh, M.

doi:10.1016/j.molliq.2018.11.109

Cited by 93 publications

(8 citation statements)

References 32 publications

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“…Before implementing the GDQM, the problem should be mapped to a non-dimensionalized form. Equations (8) and (9) were reformulated by introducing the following dimensionless variables:…”

Section: Dimensionless Form Of Governing Equationsmentioning

confidence: 99%

“…The application of such a system is balancing the energy store and requirement. Solidification process of hybrid nano‐enhanced phase change material (HNEPCM) in a thermal storage system enhanced in the presence of tree‐like branching fins and thermal radiation effect was studied in Hosseinzadeh et al The effect of dispersing hybrid nanoparticles into the pure PCM and making HNEPCM on the solidification process in a LHTESS enhanced with Y‐shaped fins was investigated in Alizadeh et al Solidification expedition of PCM in a triplex‐tube LHTESS by employing V‐shaped fins and nanoparticles as enhancement approaches were studied in Alizadeh et al All of these valuable works show the significance of the solution of complex LHTESS problems.…”

Section: Introductionmentioning

confidence: 99%

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A semi‐analytical solution for time‐varying latent heat thermal energy storage problems

2020

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Summary Latent heat thermal energy storage (LHTES) problems include a lot of boundary conditions that could not be solved by exact solution, so new approaches to solving such problems could revolutionize the advanced energy storage devices. This paper focuses on reformulating the generalized differential quadrature method (GDQM) for a one‐dimensional solidification/melting Stefan problem as a fundamental LHTES problem and solves some practical cases. Convergence and comparisons demonstrate that the proposed approach is sufficiently reliable. By checking the accuracy of the proposed approach for the LHTES problem (where Stefan number is below 0.2), it was demonstrated that for all Stefan numbers, the maximum error is less than 3.81% for temperatures. As the usual range of thermal energy storages, for Stefan numbers up to 0.2 the solution yields errors less than 0.2%. Then, the proposed approach is very ideal for such applications. In comparison, GDQM has a more accurate response than an integral solution for Stefan numbers less than 0.2. When this priority of GDQM comes with its low computational cost, it would undoubtedly be preferable.

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“…Before implementing the GDQM, the problem should be mapped to a non-dimensionalized form. Equations (8) and (9) were reformulated by introducing the following dimensionless variables:…”

Section: Dimensionless Form Of Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A semi‐analytical solution for time‐varying latent heat thermal energy storage problems

2020

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“…Ziaei et al performed a numerical investigation on the solid‐liquid phase change in the presence of tree geometry and found optimal stem length and bifurcation angle of tree geometry for maximizing energy storage. Hosseinzadeh et al numerically studied the solidification in a tree‐shaped finned LHS unit with a particular focus on the thermal radiation effect. Results indicated that the augments of thermal radiation and fin bifurcation angle led to a faster solidification rate.…”

Section: Introductionmentioning

confidence: 99%

Role of tree‐shaped fins in charging performance of a latent heat storage unit

Huang

Zhang

et al. 2020

Int J Energy Res

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Summary The performance enhancement of latent heat storage (LHS) units is of great consequence for the development of sustainable energy. In this article, the transient models of phase‐change heat transfer processes in LHS units with consideration of natural convection are developed and numerically analyzed, in an effort to explore the role of the fractal tree‐shaped fin in the energy charging performance. The solid‐liquid interface evolution and dynamic temperature response in the tree‐shaped finned LHS unit are presented and compared with the wheel‐shaped one. Moreover, the influence of the fin number is investigated for maximizing the energy charging performance. The results indicate that the tree‐shaped fin has merits of effective layout optimization for the point‐to‐area heat transfer and the time‐coordination of energy charging and discharging process. Compared with the wheel‐shaped fin, the melting duration time is decreased only a little for the presence of tree‐shaped fin, however, the solidification process is decreased significantly. The presence of tree‐shaped fin leads to a lower energy charging rate during the early and middle stages of the charging process due to the natural convection suppression, however, the energy charging rate is faster during the later stage due to the thermal conduction dominated interior heat transfer. For maximizing the melting performance, the appropriate fin number in practical applications is 16.

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“…The results indicated that applying fins and hybrid nano‐particles can reduce the full solidification time up to 12%. Furthermore, Hosseinzadeh et al 17 numerically analyzed the effect of hybrid nano‐enhanced phase change material in a thermal storage system with tree‐like branching fins during the solidification process. It was shown that while the solid fraction increases, the average temperature and total energy of the system experience lower values by enhancing the fin bifurcation angle.…”

Section: Introductionmentioning

confidence: 99%

Enhanced thermal performance analysis of buried heat transfer tubes thermal storage system filled with microcapsule particles

et al. 2020

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The heat transfer enhancement performance of a phase change buried tubes thermal storage system is influenced by major parameters such as arrangement of heat transfer tubes, fin structure and fin geometry size. We developed a three-dimensional numerical model with two different arrangements and five different enhanced heat transfer structures respectively. For the sake of analysis the effects of arrangement of heat transfer tubes, fin structure and fin geometry size. In addition, we applied the enthalpy-transforming model to obtain the liquid fraction and location of the solid-liquid interface at different time in the phase change process. The numerical results show that the melting time of the thermal storage system model with a triangle arrangement is about 6.1% longer than that of the model with a square arrangement. Besides, the melting time of the model with 55 mm tube pitch is about 16.7% shorter than that of tube pitch with 60 mm. Moreover, the buried tube thermal storage system models with circle fins have the shortest melting time, which is 18 seconds. Melting time of the model with circle fins is about 40% shorter than that of the model with smooth tube. In addition, the melting time of the model with 3 mm fin thickness is 10 seconds, which is the shortest. The model with thicker fins means the shorter time of melting process. Moreover, the melting time of the model with 10.5 mm fin spacing is about 23.5% shorter than that of the model with 12.5 mm fin spacing, which is 13 seconds. In conclusion, the main factor of the melting time is the heat transfer area. It provides a guidance for the design and reconstruction of the type of heat storage structure.

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Solidification process of hybrid nano-enhanced phase change material in a LHTESS with tree-like branching fin in the presence of thermal radiation

Cited by 93 publications

References 32 publications

A semi‐analytical solution for time‐varying latent heat thermal energy storage problems

A semi‐analytical solution for time‐varying latent heat thermal energy storage problems

Role of tree‐shaped fins in charging performance of a latent heat storage unit

Enhanced thermal performance analysis of buried heat transfer tubes thermal storage system filled with microcapsule particles

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