Performance assessment of heat transfer and friction characteristics of a packed bed heat storage system embedded with internal grooved cylinders

Agrawal, Piyush; Gautam, Abhishek; Kunwar, Anshul; Kumar, Manoj; Chamoli, Sunil

doi:10.1016/j.solener.2017.12.044

Cited by 47 publications

(12 citation statements)

References 29 publications

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“…Most of the time, these beds are made of particles poured into a container which is then crossed by a reacting flow [1,2,3,4]. It is widely admitted that the hydrodymic propertiespermeability, tortuosity, dispersion coefficients, ... -of such devices are key to properly operate them ( [5,6,7,8,9,10]). Yet, they can be quite hard determine.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamics of a packed bed of non-spherical polydisperse particles: A fully virtual approach validated by experiments

Pozzobon

Colin

Perré

2018

Chemical Engineering Journal

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This work presents a numerical workflow to generate a virtual packed bed made of non-spherical polydisperse particles, and subsequently predict its permeability. Wood chips were taken as an illustration. First, chips are sized before being recreated numerically. Then, using LMGC90, a DEM code, a packed bed made of those chips was generated. Once bed internal had been sampled, CFD tools belonging to the OpenFOAM library were used to mesh the geometry (snappyHexMesh) and compute fluid motion (simpleFoam). Finally, using numerical results, the bed permeability was computed in both Stokes and inertial regimes-turbulence being described by Launder-Reece-Rodi model. In parallel, experimental measurements of the permeability of a packed bed, made of the exact same wood chips, was carried out. These experiments were used as a reference to challenge numerical results. The permeability value delivered by the workflow is 16.0 % higher than the experimental value. This value has to be compared with Kozeny-Carman equation estimation which overestimates bed permeability by 115 %. Going one step further, this framework was successfully used to compute inertial effects constant of the Forshheimer equation for our packed bed. Throughout this article, a special care has been taken in explaining and evaluating the impact of all the key parameters, namely, number of particles that have to be sized, mesh refinement level, numerical domain dimensions. This workflow opens the door to numerical estimation of bed tortuosity, dispersion coefficients, volumetric heat exchange coefficients, and much more, using the particle size distribution as unique input data.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamics of a packed bed of non-spherical polydisperse particles: A fully virtual approach validated by experiments

Pozzobon

Colin

Perré

2018

Chemical Engineering Journal

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“…Piyush et al studied the effect of grooves embedded in cylinder on heat transfer and friction characteristics of a packed‐bed sensible storage system. The system is investigated experimentally under different systems and operating conditions such as void fraction, aspect ratio of storage media, and Reynolds number.…”

Section: Sensible Tesmentioning

confidence: 99%

Review on solar thermal energy storage technologies and their geometrical configurations

Suresh

Saini

2020

Int J Energy Res

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Summary Because of the unstable and intermittent nature of solar energy availability, a thermal energy storage system is required to integrate with the collectors to store thermal energy and retrieve it whenever it is required. Thermal energy storage not only eliminates the discrepancy between energy supply and demand but also increases the performance and reliability of energy systems and plays a crucial role in energy conservation. Under this paper, different thermal energy storage methods, heat transfer enhancement techniques, storage materials, heat transfer fluids, and geometrical configurations are discussed. A comparative assessment of various thermal energy storage methods is also presented. Sensible heat storage involves storing thermal energy within the storage medium by increasing temperature without undergoing any phase transformation, whereas latent heat storage involves storing thermal energy within the material during the transition phase. Combined thermal energy storage is the novel approach to store thermal energy by combining both sensible and latent storage. Based on the literature review, it was found that most of the researchers carried out their work on sensible and latent storage systems with the different storage media and heat transfer fluids. Limited work on a combined sensible‐latent heat thermal energy storage system with different storage materials and heat transfer fluids was carried out so far. Further, combined sensible and latent heat storage systems are reported to have a promising approach, as it reduces the cost and increases the energy storage with a stabilized outflow of temperature from the system. The studies discussed and presented in this paper may be helpful to carry out further research in this area.

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“…The Prandtl number and the physical properties that occur in the Grashof number are determined for the average temperature of the layer adjacent to the wall. Moreover, radiative heat exchange occurs outside the accumulator and is described by the radiative heat transfer coefficient h r_out , which is determined from Equation (12).…”

Section: Thermal Balance Of the Storage Bedmentioning

confidence: 99%

“…The Nusselt numbers were determined from Equations ( 8) and (11), and the convective heat transfer coefficient for both sides of the partition were determined from Equation (9). The radiative coefficient of heat transfer to the outside of the accumulator was calculated from Equation (12). Therefore, seven equations describing the process of heat transfer through the partition are obtained.…”

Section: Thermal Balance Of the Storage Bedmentioning

confidence: 99%

“…The overall heat transfer performance was the highest for the long ellipsoid. Materials with an irregular shape, such as rocks intended for solar power plants [11], as well as those with a cylindrical shape [12], and large materials such as bricks [13,14], were also investigated. The shape influences the heat storage process and the drops of pressure in a storage bed, which Allen et al examined in [7] while investigating the impact of eight different material shapes on the drop of pressure in the system.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of the Shape of Granite on the Heat Storage Process in a Rock Bed

Nemś

Gębarowska

2020

Energies

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Granite is one of those materials that due to its thermal parameters is used as a filling for storage beds, including high-temperature ones. The article analyzes local material that was extracted in Strzegom, Poland. The purpose of the paper is the assessment of storage material with regard to its cooperation with a heat source that is available for a short time, e.g., a solar installation. Three different shapes of granite material were tested: rock, cube and sphere. Each shape has its advantages and disadvantages, which are associated with economic and strength aspects. The article presents experimental tests of the material, which were conducted in order to determine the efficiency of the charging process. The results show that rock-shaped granite filling elements are characterized with the best parameters during the charging process, and that they obtained the highest first- and second-law efficiency in the entire tested range of inlet air temperature and flow rate. The efficiency of the cube-shaped granite was lower than the sphere-shaped granite. This means that the efficiency does not directly depend on the coefficient of sphericity of the elements that fill the storage bed. The determination of the second law efficiency showed that the highest use of energy supplied with hot air occurs after 1 h of charging the accumulator in the case of all the analyzed geometries. At the end of the paper, the influence of the obtained results on the process of modelling the charging of a storage bed filled with elements of non-spherical geometry is also discussed.

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Performance assessment of heat transfer and friction characteristics of a packed bed heat storage system embedded with internal grooved cylinders

Cited by 47 publications

References 29 publications

Hydrodynamics of a packed bed of non-spherical polydisperse particles: A fully virtual approach validated by experiments

Hydrodynamics of a packed bed of non-spherical polydisperse particles: A fully virtual approach validated by experiments

Review on solar thermal energy storage technologies and their geometrical configurations

The Influence of the Shape of Granite on the Heat Storage Process in a Rock Bed

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