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Yin X, Qin Y, Chen H, Du W, Liu J, Huang B. Community detection based process decomposition and distributed monitoring for large‐scale processes. AIChE J 2022. [DOI: 10.1002/aic.17826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Xunyuan Yin
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr Singapore
| | - Yan Qin
- School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Dr Singapore
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave Singapore
| | - Hongtian Chen
- Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada
| | - Wenli Du
- Key Laboratory of Smart Manufacturing in Energy, Chemical Process, Ministry of Education East China University of Science and, Technology Shanghai China
| | - Jinfeng Liu
- Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada
| | - Biao Huang
- Department of Chemical & Materials Engineering University of Alberta Edmonton AB Canada
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2
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Palma-Flores O, Ricardez-Sandoval LA. Integration of design and NMPC-based control for chemical processes under uncertainty: An MPCC-based framework. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107815] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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3
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On the Use of Steady-State Optimal Initial Operating Conditions for Control Scheme Implementation of a Fixed-Bed Fischer–Tropsch Reactor. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2022. [DOI: 10.1007/s13369-021-05897-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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4
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Advancements in Optimization and Control Techniques for Intensifying Processes. Processes (Basel) 2021. [DOI: 10.3390/pr9122150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Process Intensification (PI) is a vast and growing area in Chemical Engineering, which deals with the enhancement of current technology to enable improved efficiency; energy, cost, and environmental impact reduction; small size; and better integration with the other equipment. Since process intensification results in novel, but complex, systems, it is necessary to rely on optimization and control techniques that can cope with such new processes. Therefore, this review presents some advancements in the field of process intensification that are worthy of exploring in detail in the coming years. At the end, several important open questions that can be taken into consideration in the coming years are listed.
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5
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Zhang H, Wang F, He D, Zhao L. A two‐step coordinated optimization model for a dewatering process. CAN J CHEM ENG 2020. [DOI: 10.1002/cjce.23886] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Hualu Zhang
- College of Information Science and Engineering Northeastern University Shenyang China
| | - Fuli Wang
- College of Information Science and Engineering Northeastern University Shenyang China
- State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China
| | - Dakuo He
- College of Information Science and Engineering Northeastern University Shenyang China
| | - Luping Zhao
- College of Information Science and Engineering Northeastern University Shenyang China
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6
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Rafiei M, Ricardez-Sandoval LA. Integration of design and control for industrial-scale applications under uncertainty: a trust region approach. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107006] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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7
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de Carvalho RF, Alvarez LA. Simultaneous Process Design and Control of the Williams–Otto Reactor Using Infinite Horizon Model Predictive Control. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c01953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Romero F. de Carvalho
- School of Chemical Engineering, University of Campinas, UNICAMP, 13083-852, Campinas-SP, Brazil
| | - Luz A. Alvarez
- School of Chemical Engineering, University of Campinas, UNICAMP, 13083-852, Campinas-SP, Brazil
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8
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Xie FM, Xu F, Liang ZS, Luo XL. Full cycle dynamic optimisation maintaining the operation margin of acetylene hydrogenation fixed-bed reactor. J Taiwan Inst Chem Eng 2020. [DOI: 10.1016/j.jtice.2020.01.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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9
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Rafiei M, Ricardez‐Sandoval LA. A trust‐region framework for integration of design and control. AIChE J 2020. [DOI: 10.1002/aic.16922] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Mina Rafiei
- Department of Chemical EngineeringUniversity of Waterloo Waterloo Canada
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10
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Rafiei M, Ricardez-Sandoval LA. New frontiers, challenges, and opportunities in integration of design and control for enterprise-wide sustainability. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106610] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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11
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Valdez-Navarro YI, Ricardez-Sandoval LA. A Novel Back-off Algorithm for Integration of Scheduling and Control of Batch Processes under Uncertainty. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b04963] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abstract
In this paper, we consider the problem of economic model predictive control of wastewater treatment plants based on model reduction. We apply two model approximation methods to a wastewater treatment plant (WWTP) described by a modified Benchmark Simulation Model No.1 to overcome the intensive computation associated with economic model predictive control (MPC). Two computationally efficient models are obtained based on trajectory piecewise linearization (TPWL) and reduced order TPWL. To obtain the reduced order TPWL model, a proper orthogonal decomposition (POD)-based method is utilized. Further, the reduced order model is linearized to obtain a TPWL-POD model. The objective is to design controllers which minimize the overall economic cost. Accordingly, we design economic MPC (EMPC) controllers based on each of the models. The economic control cost can be described as a weighted summation of effluent quality and overall operating cost. We compare the accuracy of the two proposed approximation models with different linearization point numbers. We evaluate the average
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13
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Towards the Grand Unification of Process Design, Scheduling, and Control—Utopia or Reality? Processes (Basel) 2019. [DOI: 10.3390/pr7070461] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
As a founder of the Process Systems Engineering (PSE) discipline, Professor Roger W.H. Sargent had set ambitious goals for a systematic new generation of a process design paradigm based on optimization techniques with the consideration of future uncertainties and operational decisions. In this paper, we present a historical perspective on the milestones in model-based design optimization techniques and the developed tools to solve the resulting complex problems. We examine the progress spanning more than five decades, from the early flexibility analysis and optimal process design under uncertainty to more recent developments on the simultaneous consideration of process design, scheduling, and control. This formidable target towards the grand unification poses unique challenges due to multiple time scales and conflicting objectives. Here, we review the recent progress and propose future research directions.
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16
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Zhang A, Yin X, Liu S, Zeng J, Liu J. Distributed economic model predictive control of wastewater treatment plants. Chem Eng Res Des 2019. [DOI: 10.1016/j.cherd.2018.10.039] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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17
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Gu S, Liu L, Zhang L, Bai Y, Du J. Optimization-Based Framework for Designing Dynamic Flexible Heat Exchanger Networks. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b04121] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Siwen Gu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Linlin Liu
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Lei Zhang
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Yiyuan Bai
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
| | - Jian Du
- Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, Liaoning China
- State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian, 116024, Liaoning China
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18
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Zuluaga-Bedoya C, Ruiz-Botero M, Ospina-Alarcón M, Garcia-Tirado J. A dynamical model of an aeration plant for wastewater treatment using a phenomenological based semi-physical modeling methodology. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.07.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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19
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Yin X, Decardi-Nelson B, Liu J. Subsystem decomposition and distributed moving horizon estimation of wastewater treatment plants. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.04.032] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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20
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21
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Rafiei M, Ricardez-Sandoval LA. Stochastic Back-Off Approach for Integration of Design and Control Under Uncertainty. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b03935] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Mina Rafiei
- Department of Chemical Engineering, University of Waterloo, N2L 3G1 Waterloo, Canada
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22
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Koller RW, Ricardez‐Sandoval LA, Biegler LT. Stochastic back‐off algorithm for simultaneous design, control, and scheduling of multiproduct systems under uncertainty. AIChE J 2018. [DOI: 10.1002/aic.16092] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Robert W. Koller
- Dept. of Chemical EngineeringUniversity of WaterlooWaterloo ON N2L 3G1 Canada
| | | | - Lorenz T. Biegler
- Dept. of Chemical EngineeringCarnegie Mellon UniversityPittsburgh PA 15213
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23
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Kimaev G, Ricardez‐Sandoval LA. Multilevel Monte Carlo applied to chemical engineering systems subject to uncertainty. AIChE J 2017. [DOI: 10.1002/aic.16045] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Grigoriy Kimaev
- Dept. of Chemical EngineeringUniversity of WaterlooWaterloo Ontario Canada N2L 3G1
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Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.07.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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25
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Braccia L, Marchetti PA, Luppi P, Zumoffen D. Multivariable Control Structure Design Based on Mixed-Integer Quadratic Programming. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b02270] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Lautaro Braccia
- Grupo de Ingeniería
de Sistemas de Procesos (GISP), Centro Franco-Argentino de Ciencias
de la Información y de Sistemas (CIFASIS), CONICET-UNR, 27 de Febrero 210 bis, Rosario, S2000EZP, Argentina
| | - Pablo A. Marchetti
- Instituto
de Desarrollo
Tecnológico para la Industria Química (INTEC), UNL-CONICET, Güemes 3450, Santa
Fe, 3000, Argentina
| | - Patricio Luppi
- Grupo de Ingeniería
de Sistemas de Procesos (GISP), Centro Franco-Argentino de Ciencias
de la Información y de Sistemas (CIFASIS), CONICET-UNR, 27 de Febrero 210 bis, Rosario, S2000EZP, Argentina
- Universidad Nacional de Rosario, Rosario, S2000CGK, Argentina
| | - David Zumoffen
- Grupo de Ingeniería
de Sistemas de Procesos (GISP), Centro Franco-Argentino de Ciencias
de la Información y de Sistemas (CIFASIS), CONICET-UNR, 27 de Febrero 210 bis, Rosario, S2000EZP, Argentina
- Universidad Tecnológica Nacional-FRRo, Rosario, 2000, Argentina
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Diangelakis NA, Burnak B, Katz J, Pistikopoulos EN. Process design and control optimization: A simultaneous approach by multi-parametric programming. AIChE J 2017. [DOI: 10.1002/aic.15825] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Nikolaos A. Diangelakis
- Centre for Process Systems Engineering, Dept. of Chemical Engineering; Imperial College London; London SW7 2AZ U.K
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Baris Burnak
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Justin Katz
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
| | - Efstratios N. Pistikopoulos
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77845
- Texas A&M Energy Institute; Texas A&M University; College Station TX 77845
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27
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Rafiei-Shishavan M, Ricardez-Sandoval LA. A Stochastic Approach for Integration of Design and Control under Uncertainty: A Back-off Approach Using Power Series Expansions. COMPUTER AIDED CHEMICAL ENGINEERING 2017. [DOI: 10.1016/b978-0-444-63965-3.50312-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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