Automated detection of loading and flooding points in packed columns

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Automated detection of loading and flooding points in packed columns. / Haushofer, Georg; Schlager, Marcus; Wolf-Zöllner, Verena Maria et al.
in: Transactions of the Institution of Chemical Engineers / A, Chemical engineering research and design , Jahrgang 196.2023, Nr. August, 08.06.2023, S. 61-70.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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@article{6637fcb742a240fb9780c36e2c22f3ea,
title = "Automated detection of loading and flooding points in packed columns",
abstract = "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.",
keywords = "Packungskolonne, Absorption, Flutpunkt, Staupunkt",
author = "Georg Haushofer and Marcus Schlager and Wolf-Z{\"o}llner, {Verena Maria} and Markus Lehner",
note = "Publisher Copyright: {\textcopyright} 2023 The Authors",
year = "2023",
month = jun,
day = "8",
doi = "10.1016/j.cherd.2023.06.009",
language = "English",
volume = "196.2023",
pages = "61--70",
journal = "Transactions of the Institution of Chemical Engineers / A, Chemical engineering research and design ",
issn = "0263-8762",
publisher = "Institution of Chemical Engineers",
number = "August",

}

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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 -