Simulation and experimental study on honeycomb-ceramic thermal energy storage for solar thermal systems

Luo, Zhongyang; Wang, Cheng; Xiao, Gang; Ni, Mingjiang; Cen, K. F.

doi:10.1016/j.applthermaleng.2014.07.053

Cited by 35 publications

(19 citation statements)

References 8 publications

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“…According to Shah and London [18], the local Nusselt number for the conjugate problem falls in between the constant wall temperature boundary condition problem and the constant heat flux boundary condition problem of the conventional convection problem. In this situation, the Nusselt number is a function not only of the dimensionless length x * but also of the ratio between the wall thickness δ and the duct diameter and of the parameter R W defined by Equation (10). The contribution of R W can be neglected whenever its value falls below 0.05 [18].…”

Section: Methodsmentioning

confidence: 99%

“…The author performed a parametric analysis considering different porosity values and concluded that an optimal porosity value must be evaluated to identify the right trade-off between heat stored and pressure losses.Modelling the performance of a sensible heat thermal energy storage system involves the solution of a system of two differential equations, one for the solid media and one for the working fluid. Luo et al [10] proposed a one-dimensional model for a honeycomb ceramic thermal storage and performed a parametric analysis in order to evaluate the influence of the main geometrical parameters. The model was solved adopting the Euler implicit scheme and was validated with experimental results.…”

mentioning

confidence: 99%

“…Cascetta et al [11] experimentally and numerically investigated thermal behaviour of a packed-bed thermal storage system filled with solid alumina beads. Their one-dimensional model calculated fluid and solid temperature separately based on two LTNE (Local Thermal Nonequilibrium) equations, which predicted well the axial temperature distribution and could give exact energy stored in charging or discharging processes.Given the small size of the plant, a TES system integrated within a solar dish CSP plant is usually characterised by relatively low mass-flow, rate which inevitably leads to low Reynolds numbers and, consequently, laminar flow [10]. For laminar flows, in the first portion of the duct, the development of the thermal and hydrodynamic boundary layers has a crucial impact on the heat transfer and pressure drop.…”

mentioning

confidence: 99%

“…Given the small size of the plant, a TES system integrated within a solar dish CSP plant is usually characterised by relatively low mass-flow, rate which inevitably leads to low Reynolds numbers and, consequently, laminar flow [10]. For laminar flows, in the first portion of the duct, the development of the thermal and hydrodynamic boundary layers has a crucial impact on the heat transfer and pressure drop.…”

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confidence: 99%

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Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications

et al. 2019

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Solar power microturbines are required to produce steady power despite the fluctuating solar radiation, with concerns on the dispatchability of such plants where thermal energy storage may offer a solution to address the issue. This paper presents a mathematical model for performance prediction of a honeycomb sensible-heat thermal energy storage designed for application of concentrated solar power microturbine. The focus in the model is to consider the laminar developing boundary layers at the entry of the flow channels, which could have a profound effect on the heat-transfer coefficient due to large velocity and temperature gradients, an effect which has not been considered in the modelling of such storage systems. Analysing the thermal and hydrodynamic boundary layer development, the Nusselt number and the friction factor were evaluated using a validated conjugate heat-transfer method. The simulations results were used to develop accurate regression functions for Nusselt number and friction factor. These formulations have been adopted within a one-dimensional model to evaluate the performance of the storage under different operating conditions. The model was in good agreement with conjugate heat transfer results with maximum relative error below 2%. Two case studies are presented to demonstrate the applicability of the proposed methodology.

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Section: Methodsmentioning

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Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications

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“…In conclusion, they affirm that the numerical results and experimental data present a good agreement. Luo et al [12] studied a ceramic honeycomb both experimentally and numerically. They compared the experimental data with a one-dimensional numerical model and by results they found that larger channels and thinner walls lead to a faster increase of exit temperature for the charging phase and higher decrease for the discharging phase.…”

Section: Introductionmentioning

confidence: 99%

Phase Change Materials (PCMs) in a honeycomb system for solar energy applications

Andreozzi¹,

Buonomo²,

Ercole³

et al. 2017

IJHT

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The present work aims to investigate a honeycomb system with PCM for solar energy applications. The solution is to combine the qualities of PCM and the honeycomb structure, in fact it spreads out the heat all over the PCM improving the effective thermal conductivity of the system. Transient regime numerical simulations are created for different pores per unit of length (PPU). The Solid-liquid PCM is paraffin wax. A numerical model with honeycomb structure is compared with a porous medium model. The porous medium is modelled with the extended Darcy-Brinkman law and to evaluate the heat exchange between the solid and the fluid zones a LocalThermal Equilibrium assumption is used. By the results of the direct honeycomb model the characteristics such as permeability, inertial resistant coefficient, effective thermal conductivity and interfacial heat transfer are evaluated and then compared with the porous medium model. Numerical simulations were carried out using the Ansys-Fluent code. Results in terms of melting time, temperature fields, and stored energy as function of time are presented.

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A comprehensive review of heat transfer intensification methods for latent heat storage units

et al. 2020

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Latent heat thermal energy storage (LHTES) systems and their applications have been very substantive for the developments in energy science and engineering. The efficiency of LHTES systems largely depends on the thermal conductivity of the phase change materials (PCMs) and the heat transfer mechanisms in them. This review focuses on the methods employed to enhance heat transfer in LHTES systems which accordingly improve their storage performance. This includes the possible geometrical configurations of LHTES systems and the effects of their design parameters. The various methods adopted for enhancing LHTES systems' performance through either applying nanomaterials additives, using cascaded or encapsulated PCMs, or employing extended surfaces, such as fins, are discussed in detail. Additionally, various designs of PCM based heat exchangers with active and passive heat transfer techniques were highlighted. These systems are critically analyzed to help selecting reliable techniques and compatible materials for effective designs in order to achieve more efficient LHTES systems. This review would be helpful for the researchers to further develop heat transfer intensification mechanisms in LHTES systems.

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Simulation and experimental study on honeycomb-ceramic thermal energy storage for solar thermal systems

Cited by 35 publications

References 8 publications

Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications

Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications

Phase Change Materials (PCMs) in a honeycomb system for solar energy applications

A comprehensive review of heat transfer intensification methods for latent heat storage units

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