Experimental study and optimization on filtration and fluid flow performance of a granular bed filter

Yu, Yinsheng; Tao, Y.B.; Ma, Zejun; He, Ya‐Ling

doi:10.1016/j.powtec.2018.04.019

Cited by 30 publications

(7 citation statements)

References 25 publications

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“…Based on the vertical configuration of dual-layer GBFs, the collection efficiency was 1.3 times better than that of single-layer GBFs with particulate diameters of 1-10 μm [20]. These studies [14][15][16][17][18][19][20] showed that two-stage or multi-stage filters improve collection efficiency, increase dust loading, and offer acceptable pressure drops. However, these filters cause operational problems in long-term industrial applications [10] because prior studies have focused on the fixed-bed mode; limited studies have been dedicated to developing moving beds.…”

Section: Introductionmentioning

confidence: 90%

“…By using different granule sizes in the same filtering system, better filtering efficiency and flow behavior were observed in comparison with using mono-sized granules. In addition, the collection efficiency was improved, and pressure drops were reduced [18]. With the powder-grain level, the combined dual-layer GBF demonstrated better collection efficiency (99.835%) than those of individual layers (96.240% and 89.905%) [19].…”

Section: Introductionmentioning

confidence: 97%

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A New Approach of Dedusting for IGCC by a Two-Stage Moving Granular Bed Filter

et al. 2021

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We propose a dust removal technology in which a two-stage moving granular bed filter was employed using coarse and fine filtering granules. The pressure drop, collection efficiency, and dust particulate size distributions were investigated using various mass flow rates for coarse and fine granules at room temperature. In addition, the ratio of mass consumption was used to reveal the actual mass flow. The ratio of mass consumption influenced the pressure drop, collection efficiency, and dust particulate size distributions. Particulates larger than 1.775 μm were removed by the filter. Our results showed that a mass flow of 330 g/min for coarse granules and a mass flow of 1100 g/min for fine granules provided optimal collection efficiency and particulate size distribution. The proposed design can aid the development of high-temperature systems in power plants.

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 97%

A New Approach of Dedusting for IGCC by a Two-Stage Moving Granular Bed Filter

et al. 2021

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“…The study of Zhan et al (2018) has found that the superficial gas velocity, thickness of the granular layer and dust mass concentration parameters have a significant influence on the collection efficiency and pressure drop. Yu et al (2018) have indicated that an increase in bed height and a decrease in granule size are beneficial for improving filtration efficiency. In the work of Sulaymon and Mustafa (2012), it has been revealed that the effect of deposition is an important factor, which should be taken seriously regarding the filtration rate.…”

Section: Introductionmentioning

confidence: 99%

Optimization of structure parameters in a coal pyrolysis filtration system based on CFD and quadratic regression orthogonal combination and a genetic algorithm

Liu

Zhao

Liu

et al. 2021

Engineering Applications of Computational Fluid Mechanics

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An optimization method of structure parameters based on the quadratic regression orthogonal combination (QROC) and Genetic Algorithm (GA) is proposed in this work. The following work has been conducted to improve the performance of the coal pyrolysis filtration system and prolong the service life of the filter tubes based on QROC-GA method. Firstly, a simulation model is established and two factors always are chosen as optimization objectives. Then one single factor regression prediction algorithm is used to optimize each factor separately while the result was not satisfactory. Secondly, QROC is introduced to achieve the optimization of two factors in the filtration system. The regression relationship is obtained proved to be effective by statistical test and back propagation neural network (BPNN). Finally, a QROC-GA method is established to find the optimization points. Then a verification calculation is done with CFD again. The optimal result has the parameters that ϕ = 40°a nd ψ = 25°. From the simulation results, the mean square error is 0.401. The mean square error is 0.4992 by the QROC-GA results. The errors are within 0.1 between CFD and QROC-GA. The QROC-GA model has a good effect in the prediction of models under changing parameters, and the significance is also confirmed.

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“…Combining different granules in terms of particle deposition efficiency and pressure drop allows us to achieve better efficiency than the use of only one type of granules [22][23][24]. The authors of experimental work [25] substantiated the expediency of the use of a multilayer granular filter, which reduces the pressure drop by almost 50% while increasing the particle deposition efficiency by 3.23%. The experimental curves of the change in efficiency and pressure drop are given as a function of the filtration time for granule sizes of 3, 5, 8, 10 mm, and a filtration rate for a range of layers depths of 30, 60, 90, and 120 mm.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of the Aerosol Particle Motion in Granular Filters with Solid and Porous Granules

2021

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In this work, a study was carried out to compare the filtering and hydrodynamic properties of granular filters with solid spherical granules and spherical granules with modifications in the form of micropores. We used the discrete element method (DEM) to construct the geometry of the filters. Models of granular filters with spherical granules with diameters of 3, 4, and 5 mm, and with porosity values of 0.439, 0.466, and 0.477, respectively, were created. The results of the numerical simulation are in good agreement with the experimental data of other authors. We created models of granular filters containing micropores with different porosity values (0.158–0.366) in order to study the micropores’ effect on the aerosol motion. The study showed that micropores contribute to a decrease in hydrodynamic resistance and an increase in particle deposition efficiency. There is also a maximum limiting value of the granule microporosity for a given aerosol particle diameter when a further increase in microporosity leads to a decrease in the deposition efficiency.

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Experimental study and optimization on filtration and fluid flow performance of a granular bed filter

Cited by 30 publications

References 25 publications

A New Approach of Dedusting for IGCC by a Two-Stage Moving Granular Bed Filter

A New Approach of Dedusting for IGCC by a Two-Stage Moving Granular Bed Filter

Optimization of structure parameters in a coal pyrolysis filtration system based on CFD and quadratic regression orthogonal combination and a genetic algorithm

Numerical Simulation of the Aerosol Particle Motion in Granular Filters with Solid and Porous Granules

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