Experimental study of the gas flow behavior in the inlet of a granular bed filter

Hsu, Chia Jen; Hsiau, Shu San

doi:10.1016/j.apt.2010.10.018

Cited by 14 publications

(2 citation statements)

References 18 publications

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“…According to the analysis of parameters, changing three parameters has a great influence on the uniformity of the flow field in a coal pyrolysis heat exchanger (Bo et al, 2019). Chia and Shu (2011) have optimized the component parameters of a gas inlet, which achieved a more uniform distribution of gas velocity. Yildiz (2011) has studied the structural diameters and lengths of filter elements.…”

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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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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show abstract

“…Several attempts, such as cyclone, − barrier-type filter, − and electrostatic precipitator (ESP), have been made to remove char particles more completely from the high-temperature pyrolysis vapors. Among them, the granular bed filter (GBF), as an engineering solution for pyrolysis vapors, seems to be receiving more attention by many researchers. , Hsiau et al − developed a cross-flow moving granular bed filter (MGBF) for the filtration of hot biomass pyrolysis vapors. They studied the flow characteristics and performance of the moving granular bed filter with different geometry louvers.…”

Section: Introductionmentioning

confidence: 99%

Filtration Performance of Coal Pyrolysis Flying Char Particles in a Granular Bed Filter

et al. 2018

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The filtration of flying char particles from coal pyrolysis vapors plays a very important role in enhancing yields and quality of pyrolysis oil. In this work, the performance of coal pyrolysis flying char particles in a granular bed filter (GBF) was studied in cold model experiments. A filtration model was developed using a macroscopic phenomenological method that describes the filtration of the GBF. The polynomial expression of the relative filter coefficient (F) and the nonlinear expression of the relative pressure drop ratio (G) were applied in the new model. The unsteady state of granular filtration was captured, demonstrating that the GBF performance could be predicted by the new model. Effects of superficial gas velocity, thickness of granular layer, and dust mass concentration on collection efficiency and pressure drop were analyzed. An excellent performance of the GBF was obtained and the total collection efficiency could reach a span between 98% and 99.9%. In the case of lower dust mass concentration, the total collection efficiency and pressure drop were slightly affected by the increasing dust mass concentration. The optimal operating conditions of the GBF were obtained: a superficial gas velocity of 0.2–0.6 m/s and a granular layer thickness of 0.07–0.11 m.

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Laboratory study on high-temperature adsorption of HCl by dry-injection of Ca(OH)2 in a dual-layer granular bed filter

Tan

Yang

Mao

et al. 2014

Front. Environ. Sci. Eng.

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Experimental study of the gas flow behavior in the inlet of a granular bed filter

Cited by 14 publications

References 18 publications

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

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

Filtration Performance of Coal Pyrolysis Flying Char Particles in a Granular Bed Filter

Laboratory study on high-temperature adsorption of HCl by dry-injection of Ca(OH)2 in a dual-layer granular bed filter

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