Automated detection of loading and flooding points in packed columns
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In: Transactions of the Institution of Chemical Engineers / A, Chemical engineering research and design , Vol. 196.2023, No. August, 08.06.2023, p. 61-70.
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TY - JOUR
T1 - Automated detection of loading and flooding points in packed columns
AU - Haushofer, Georg
AU - Schlager, Marcus
AU - Wolf-Zöllner, Verena Maria
AU - Lehner, Markus
N1 - Publisher Copyright: © 2023 The Authors
PY - 2023/6/8
Y1 - 2023/6/8
N2 - Predictive correlations for packed distillation and absorption columns usually cannot account for changes in operating limits due to phenomena such as fouling. A method for detection of loading and flooding points even under altered operating conditions would therefore be highly desirable. In this work, a new approach for real-time detection of packed column loading and flooding points is introduced. The method utilises Fourier analysis of pressure drop data. Pressure drop fluctuations occurring even under steady-state conditions are sampled and treated with Fast Fourier transform (FFT) to derive the corresponding frequency spectra. Results of examinations with three structured packings (RSP 250Y, RMP N 250X, RMP N 250Y) conducted at three liquid loads each show that operating regions (below loading point, loading point, loading region, flooding point) can be identified from the obtained frequency spectra. Starting at the loading point, certain amplitudes within the spectra grow and increase up to the flooding point. This behavior is consistent for all examined packings. The results from this study suggest that the proposed approach could support column operation as an additional monitoring tool that is low in cost and not reliant on additional measurements besides pressure drop.
AB - Predictive correlations for packed distillation and absorption columns usually cannot account for changes in operating limits due to phenomena such as fouling. A method for detection of loading and flooding points even under altered operating conditions would therefore be highly desirable. In this work, a new approach for real-time detection of packed column loading and flooding points is introduced. The method utilises Fourier analysis of pressure drop data. Pressure drop fluctuations occurring even under steady-state conditions are sampled and treated with Fast Fourier transform (FFT) to derive the corresponding frequency spectra. Results of examinations with three structured packings (RSP 250Y, RMP N 250X, RMP N 250Y) conducted at three liquid loads each show that operating regions (below loading point, loading point, loading region, flooding point) can be identified from the obtained frequency spectra. Starting at the loading point, certain amplitudes within the spectra grow and increase up to the flooding point. This behavior is consistent for all examined packings. The results from this study suggest that the proposed approach could support column operation as an additional monitoring tool that is low in cost and not reliant on additional measurements besides pressure drop.
KW - Packungskolonne
KW - Absorption
KW - Flutpunkt
KW - Staupunkt
UR - http://www.scopus.com/inward/record.url?scp=85164273781&partnerID=8YFLogxK
U2 - 10.1016/j.cherd.2023.06.009
DO - 10.1016/j.cherd.2023.06.009
M3 - Article
VL - 196.2023
SP - 61
EP - 70
JO - Transactions of the Institution of Chemical Engineers / A, Chemical engineering research and design
JF - Transactions of the Institution of Chemical Engineers / A, Chemical engineering research and design
SN - 0263-8762
IS - August
ER -