Intelligent prediction approach of fouling location in shell and tube heat exchanger

Mustafa Al-Naser; Sami El-Ferik; Rached Ben Mansour; Hulail Yousef AlShammari; Abrar AlAmoudi

doi:10.1109/ICSET51301.2020.9265382

Intelligent prediction approach of fouling location in shell and tube heat exchanger

Mustafa Al-Naser, Sami El-Ferik, Rached Ben Mansour, Hulail Yousef AlShammari, Abrar AlAmoudi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Fouling build-up phenomenon is one of the most challenging problems for heat exchangers in the industry, which leads to a degradation of system efficiency, an increase of production cost, and a harmful environmental impact. In this work, we investigate the impact of fouling location on heat exchanger's outlet streams. In order to simulate fouling location, multi-segments heat exchanger model was built using PetroSIM process simulator. Results show that the closer fouling is to the heat exchanger outlet, the clearer is the impact on the outlet stream measurements. Furthermore, an artificial intelligence model was built in order to estimate the location of fouling using the existing measurement.

Original language	English
Title of host publication	2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-144
Number of pages	6
ISBN (Electronic)	9781728199108
DOIs	https://doi.org/10.1109/ICSET51301.2020.9265382
State	Published - 9 Nov 2020

Publication series

Name	2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings

Bibliographical note

Publisher Copyright:
© 2020 IEEE

Keywords

Artificial Intelligence
Fouling
Heat Exchanger
Multisegment
Process Simulator

ASJC Scopus subject areas

Instrumentation
Artificial Intelligence
Decision Sciences (miscellaneous)
Control and Systems Engineering
Control and Optimization

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10.1109/ICSET51301.2020.9265382

Cite this

Al-Naser, M., El-Ferik, S., Mansour, R. B., AlShammari, H. Y., & AlAmoudi, A. (2020). Intelligent prediction approach of fouling location in shell and tube heat exchanger. In 2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings (pp. 139-144). Article 09265382 (2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSET51301.2020.9265382

Al-Naser, Mustafa ; El-Ferik, Sami ; Mansour, Rached Ben et al. / Intelligent prediction approach of fouling location in shell and tube heat exchanger. 2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 139-144 (2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings).

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abstract = "Fouling build-up phenomenon is one of the most challenging problems for heat exchangers in the industry, which leads to a degradation of system efficiency, an increase of production cost, and a harmful environmental impact. In this work, we investigate the impact of fouling location on heat exchanger's outlet streams. In order to simulate fouling location, multi-segments heat exchanger model was built using PetroSIM process simulator. Results show that the closer fouling is to the heat exchanger outlet, the clearer is the impact on the outlet stream measurements. Furthermore, an artificial intelligence model was built in order to estimate the location of fouling using the existing measurement.",

keywords = "Artificial Intelligence, Fouling, Heat Exchanger, Multisegment, Process Simulator",

author = "Mustafa Al-Naser and Sami El-Ferik and Mansour, {Rached Ben} and AlShammari, {Hulail Yousef} and Abrar AlAmoudi",

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language = "English",

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Al-Naser, M, El-Ferik, S , Mansour, RB, AlShammari, HY & AlAmoudi, A 2020, Intelligent prediction approach of fouling location in shell and tube heat exchanger. in 2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings., 09265382, 2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 139-144. https://doi.org/10.1109/ICSET51301.2020.9265382

Intelligent prediction approach of fouling location in shell and tube heat exchanger. / Al-Naser, Mustafa; El-Ferik, Sami ; Mansour, Rached Ben et al.
2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 139-144 09265382 (2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent prediction approach of fouling location in shell and tube heat exchanger

AU - Al-Naser, Mustafa

AU - El-Ferik, Sami

AU - Mansour, Rached Ben

AU - AlShammari, Hulail Yousef

AU - AlAmoudi, Abrar

PY - 2020/11/9

Y1 - 2020/11/9

N2 - Fouling build-up phenomenon is one of the most challenging problems for heat exchangers in the industry, which leads to a degradation of system efficiency, an increase of production cost, and a harmful environmental impact. In this work, we investigate the impact of fouling location on heat exchanger's outlet streams. In order to simulate fouling location, multi-segments heat exchanger model was built using PetroSIM process simulator. Results show that the closer fouling is to the heat exchanger outlet, the clearer is the impact on the outlet stream measurements. Furthermore, an artificial intelligence model was built in order to estimate the location of fouling using the existing measurement.

AB - Fouling build-up phenomenon is one of the most challenging problems for heat exchangers in the industry, which leads to a degradation of system efficiency, an increase of production cost, and a harmful environmental impact. In this work, we investigate the impact of fouling location on heat exchanger's outlet streams. In order to simulate fouling location, multi-segments heat exchanger model was built using PetroSIM process simulator. Results show that the closer fouling is to the heat exchanger outlet, the clearer is the impact on the outlet stream measurements. Furthermore, an artificial intelligence model was built in order to estimate the location of fouling using the existing measurement.

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KW - Fouling

KW - Heat Exchanger

KW - Multisegment

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Al-Naser M, El-Ferik S , Mansour RB, AlShammari HY, AlAmoudi A. Intelligent prediction approach of fouling location in shell and tube heat exchanger. In 2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 139-144. 09265382. (2020 IEEE 10th International Conference on System Engineering and Technology, ICSET 2020 - Proceedings). doi: 10.1109/ICSET51301.2020.9265382

Intelligent prediction approach of fouling location in shell and tube heat exchanger

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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