Controller design for optimal operation of Multiple Effect Evaporator of paper mills

The Kraft recovery process in the paper mills is highly complex and nonlinear. The evaporation of black liquor using Multiple Effect Evaporators (MEE) in the recovery unit of the Kraft process is an energy-consuming procedure. The challenge lies in designing a proficient control strategy to conserve...

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Main Authors: Drishti Yadav, Nikhil Pachauri, Om Prakash Verma, Deepak Sahu, Jatinder Kumar Ratan, Tarun Kumar Sharma
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Results in Control and Optimization
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666720722000236
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author Drishti Yadav
Nikhil Pachauri
Om Prakash Verma
Deepak Sahu
Jatinder Kumar Ratan
Tarun Kumar Sharma
author_facet Drishti Yadav
Nikhil Pachauri
Om Prakash Verma
Deepak Sahu
Jatinder Kumar Ratan
Tarun Kumar Sharma
author_sort Drishti Yadav
collection DOAJ
description The Kraft recovery process in the paper mills is highly complex and nonlinear. The evaporation of black liquor using Multiple Effect Evaporators (MEE) in the recovery unit of the Kraft process is an energy-consuming procedure. The challenge lies in designing a proficient control strategy to conserve energy and guarantee good product quality. In this article, the 2-DOF-PI controller is designed to enable efficient control of MEE and eliminate process uncertainties. The Heptads’ Effect Falling Film Evaporator in the backward feed flow configuration is used as a working platform. The steady-state and transient behavior of MEE is modeled and analyzed to assist in controller design. The steady-state process parameters, that guarantee optimum energy efficiency, are estimated using Moth–Flame Optimization (MFO). MFO is also employed to estimate the optimal 2-DOF-PI controller parameters to attain improved product quality and energy-efficient performance of MEE. The competence of MFO towards controller tuning is shown by a fair comparison with some well-known optimization techniques. The quantitative investigation of the statistical results demonstrates that MFO outperforms the other algorithms. To validate the proficiency of the designed control scheme, its performance is compared with basic PI/PID control strategy for set-point tracking, noise suppression, and process uncertainties. The simulation results indicate that the designed MFO-tuned 2-DOF-PI controller offers efficient control action and, therefore, proves to be an appropriate control algorithm to ensure sustainable production.
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spelling doaj.art-6213964659ef446c8914ad984efc8aaa2022-12-22T03:47:58ZengElsevierResults in Control and Optimization2666-72072022-09-018100137Controller design for optimal operation of Multiple Effect Evaporator of paper millsDrishti Yadav0Nikhil Pachauri1Om Prakash Verma2Deepak Sahu3Jatinder Kumar Ratan4Tarun Kumar Sharma5Faculty of Informatics, Institute of Computer Engineering, Technische Universität Wien, 1040, Vienna, AustriaAI Graduate School, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South KoreaDepartment of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144011, India; Corresponding author.Department of Chemical Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144011, IndiaDepartment of Chemical Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar 144011, IndiaDepartment of Computer Science and Engineering, Shobhit University, Gangoh, Saharanpur, IndiaThe Kraft recovery process in the paper mills is highly complex and nonlinear. The evaporation of black liquor using Multiple Effect Evaporators (MEE) in the recovery unit of the Kraft process is an energy-consuming procedure. The challenge lies in designing a proficient control strategy to conserve energy and guarantee good product quality. In this article, the 2-DOF-PI controller is designed to enable efficient control of MEE and eliminate process uncertainties. The Heptads’ Effect Falling Film Evaporator in the backward feed flow configuration is used as a working platform. The steady-state and transient behavior of MEE is modeled and analyzed to assist in controller design. The steady-state process parameters, that guarantee optimum energy efficiency, are estimated using Moth–Flame Optimization (MFO). MFO is also employed to estimate the optimal 2-DOF-PI controller parameters to attain improved product quality and energy-efficient performance of MEE. The competence of MFO towards controller tuning is shown by a fair comparison with some well-known optimization techniques. The quantitative investigation of the statistical results demonstrates that MFO outperforms the other algorithms. To validate the proficiency of the designed control scheme, its performance is compared with basic PI/PID control strategy for set-point tracking, noise suppression, and process uncertainties. The simulation results indicate that the designed MFO-tuned 2-DOF-PI controller offers efficient control action and, therefore, proves to be an appropriate control algorithm to ensure sustainable production.http://www.sciencedirect.com/science/article/pii/S2666720722000236Black liquorEnergy optimizationMultiple effect evaporatorMoth–flame optimization2-DOF-PI controller
spellingShingle Drishti Yadav
Nikhil Pachauri
Om Prakash Verma
Deepak Sahu
Jatinder Kumar Ratan
Tarun Kumar Sharma
Controller design for optimal operation of Multiple Effect Evaporator of paper mills
Results in Control and Optimization
Black liquor
Energy optimization
Multiple effect evaporator
Moth–flame optimization
2-DOF-PI controller
title Controller design for optimal operation of Multiple Effect Evaporator of paper mills
title_full Controller design for optimal operation of Multiple Effect Evaporator of paper mills
title_fullStr Controller design for optimal operation of Multiple Effect Evaporator of paper mills
title_full_unstemmed Controller design for optimal operation of Multiple Effect Evaporator of paper mills
title_short Controller design for optimal operation of Multiple Effect Evaporator of paper mills
title_sort controller design for optimal operation of multiple effect evaporator of paper mills
topic Black liquor
Energy optimization
Multiple effect evaporator
Moth–flame optimization
2-DOF-PI controller
url http://www.sciencedirect.com/science/article/pii/S2666720722000236
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