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Dering D, Swartz CL. A stochastic optimization framework for integrated scheduling and control under demand uncertainty. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Andrés‐Martínez O, Ricardez‐Sandoval LA. Integration of planning, scheduling, and control: A review and new perspectives. CAN J CHEM ENG 2022. [DOI: 10.1002/cjce.24501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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3
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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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Rodríguez Vera HU, Ricardez-Sandoval LA. Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.1c04386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Andrés‐Martínez O, Ricardez‐Sandoval LA. A nested online scheduling and nonlinear model predictive control framework for multi‐product continuous systems. AIChE J 2022. [DOI: 10.1002/aic.17665] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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Bruns B, Di Pretoro A, Grünewald M, Riese J. Indirect Demand Response Potential of Large-Scale Chemical Processes. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c03925] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Bastian Bruns
- Ruhr University Bochum, Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Universitätsstraße 150, 44801 Bochum, Germany
| | - Alessandro Di Pretoro
- Laboratoire de Génie Chimique, Université de Toulouse, CNRS/INP/UPS, Toulouse 31400, France
| | - Marcus Grünewald
- Ruhr University Bochum, Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Universitätsstraße 150, 44801 Bochum, Germany
| | - Julia Riese
- Ruhr University Bochum, Faculty of Mechanical Engineering, Laboratory of Fluid Separations, Universitätsstraße 150, 44801 Bochum, Germany
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Pipino HA, Cappelletti CA, Adam EJ. Adaptive multi-model predictive control applied to continuous stirred tank reactor. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107195] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Simkoff JM, Baldea M. Stochastic Scheduling and Control Using Data-Driven Nonlinear Dynamic Models: Application to Demand Response Operation of a Chlor-Alkali Plant. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.9b06866] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jodie M. Simkoff
- McKetta Department of Chemical Engineering, The University of Texas at Austin 200 East Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
| | - Michael Baldea
- McKetta Department of Chemical Engineering, The University of Texas at Austin 200 East Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
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Dias LS, Ierapetritou MG. 110th Anniversary: Integration of Scheduling and Robust Model Predictive Control. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02545] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Lisia S. Dias
- Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, New Jersey 08854, United States
| | - Marianthi G. Ierapetritou
- Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, New Jersey 08854, United States
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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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Lozano Santamaria F, Macchietto S. Online Integration of Optimal Cleaning Scheduling and Control of Heat Exchanger Networks under Fouling. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b04531] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Federico Lozano Santamaria
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K
| | - Sandro Macchietto
- Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K
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Parameterizations of data-driven nonlinear dynamic process models for fast scheduling calculations. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.06.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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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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