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
Publisher: AMER CHEMICAL SOC
Book Volume: 36
Pages Range: 4924-4932
Journal Issue: 9
DOI: 10.1021/acs.energyfuels.1c04356
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.
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://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.
BibTeX: Download