Early Detection of Agglomeration in Fluidized Beds by Means ofFrequency Analysis of Pressure Fluctuations

Leimbach S, Lukas J, Kolb S, Yang L, Plankenbühler T, Sega M, Harting J, Karl J (2022)

Publication Status: Published

Publication Type: Journal article

Publication year: 2022

Journal

Energy & Fuels American Chemical Society

Publisher: AMER CHEMICAL SOC

Book Volume: 36

Pages Range: 4924-4932

Journal Issue: 9

DOI: 10.1021/acs.energyfuels.1c04356

Abstract

For description of thefluidization state offluidizedbeds, both time-domain and frequency-domain analyses of high-frequency pressurefluctuations are established approaches.Common methods for the detection of agglomeration ordefluidization influidized beds use the variance or the standarddeviation of the pressure signal or the maximum in its frequencyspectrum. These methods are used, for example, in biomasscombustion or gasification. However, these approaches lack thereliability for applications as an early agglomeration warningsystem in industrial applications. To address this issue, the presentstudy introduces a robust methodology by means of extracting acharacteristic frequency from the power spectral density of thepressure signal. A comparison of our developed approach with thecommonly used frequency maximum and standard deviation for predicting the onset of agglomeration in laboratory experimentsshows promising sensitivity on agglomeration formation. In order to evaluate the general applicability of this method on an industrialscale, this work investigates dependencies of possible influences, such as gas velocity, sand quantity, and temperature, on thecharacteristic frequency. The results indicate that the characteristic frequency can be a promising and robust method for the earlydetection of the onset of agglomeration in industrial plants.

Authors with CRIS profile

Steffen Leimbach Lehrstuhl für Energieverfahrenstechnik Johannes Lukas Lehrstuhl für Energieverfahrenstechnik Sebastian Kolb Lehrstuhl für Energieverfahrenstechnik Thomas Plankenbühler Lehrstuhl für Energieverfahrenstechnik Jens Harting Professur für Multiskalen-Modellierung für kontrollierte Filmbildung (HIERN) Jürgen Karl Lehrstuhl für Energieverfahrenstechnik

Involved external institutions

Forschungszentrum Jülich / Research Centre Jülich (FZJ) DE Germany (DE)

How to cite

APA:

Leimbach, S., Lukas, J., Kolb, S., Yang, L., Plankenbühler, T., Sega, M.,... Karl, J. (2022). Early Detection of Agglomeration in Fluidized Beds by Means ofFrequency Analysis of Pressure Fluctuations. Energy & Fuels, 36(9), 4924-4932. https://dx.doi.org/10.1021/acs.energyfuels.1c04356

MLA:

Leimbach, Steffen, et al. "Early Detection of Agglomeration in Fluidized Beds by Means ofFrequency Analysis of Pressure Fluctuations." Energy & Fuels 36.9 (2022): 4924-4932.

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