Integrating operations and control: A perspective and roadmap for future research

•This white paper is a concise perspective based on a session during FIPSE 3, held in Rhodes, Greece, June 20–23, 2016.•Its aim is to highlight open problems and directions for future research on the integration of control and operations.•It discusses such problems on control and optimization of pla...

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Published inComputers & chemical engineering Vol. 115; pp. 179 - 184
Main Authors Daoutidis, Prodromos, Lee, Jay H., Harjunkoski, Iiro, Skogestad, Sigurd, Baldea, Michael, Georgakis, Christos
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 12.07.2018
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ISSN0098-1354
DOI10.1016/j.compchemeng.2018.04.011

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Abstract •This white paper is a concise perspective based on a session during FIPSE 3, held in Rhodes, Greece, June 20–23, 2016.•Its aim is to highlight open problems and directions for future research on the integration of control and operations.•It discusses such problems on control and optimization of plants with frequent transitions, on the integration of scheduling and control, and on the impact of big data on control and operations.•Case studies on the design and operation of microgrids are also discussed. This “white paper” is a concise perspective based on a session during FIPSE 3, held in Rhodes, Greece, June 20–23, 2016. This was the third conference in the series “Future Innovation in Process Systems Engineering” (http://fi-in-pse.org), which takes place every other year in Greece, with a limited number of participants and just three topics/sessions whose objective is to pose and discuss open research challenges in Process Systems Engineering. This specific session comprised invited talks by Sigurd Skogestad and Iiro Harjunkoski, followed by short presentations by the participants and extensive discussions. The paper does not intend to provide a comprehensive review on the subject, or a detailed exposition of the concepts and problems. Its aim is to highlight open problems and directions for future research.
AbstractList •This white paper is a concise perspective based on a session during FIPSE 3, held in Rhodes, Greece, June 20–23, 2016.•Its aim is to highlight open problems and directions for future research on the integration of control and operations.•It discusses such problems on control and optimization of plants with frequent transitions, on the integration of scheduling and control, and on the impact of big data on control and operations.•Case studies on the design and operation of microgrids are also discussed. This “white paper” is a concise perspective based on a session during FIPSE 3, held in Rhodes, Greece, June 20–23, 2016. This was the third conference in the series “Future Innovation in Process Systems Engineering” (http://fi-in-pse.org), which takes place every other year in Greece, with a limited number of participants and just three topics/sessions whose objective is to pose and discuss open research challenges in Process Systems Engineering. This specific session comprised invited talks by Sigurd Skogestad and Iiro Harjunkoski, followed by short presentations by the participants and extensive discussions. The paper does not intend to provide a comprehensive review on the subject, or a detailed exposition of the concepts and problems. Its aim is to highlight open problems and directions for future research.
Author Lee, Jay H.
Harjunkoski, Iiro
Georgakis, Christos
Skogestad, Sigurd
Baldea, Michael
Daoutidis, Prodromos
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  givenname: Jay H.
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Cites_doi 10.1016/j.ces.2015.02.030
10.1016/j.compchemeng.2004.07.028
10.1002/aic.13868
10.1002/aic.14458
10.1016/j.compchemeng.2016.03.024
10.1016/j.compchemeng.2014.09.002
10.1109/MCS.2014.2320397
10.1109/TSG.2016.2600487
10.1016/j.compchemeng.2006.05.043
10.1016/S0098-1354(01)00737-2
10.1016/j.compchemeng.2013.07.015
10.1021/acs.iecr.5b03499
10.1002/aic.14951
10.1016/S0959-1524(00)00023-8
10.1016/j.coche.2013.09.006
10.1016/j.compchemeng.2015.04.026
10.1016/j.compchemeng.2012.05.011
10.1002/aic.13978
10.1016/j.jprocont.2014.03.010
10.1016/j.tifs.2015.02.010
10.1016/j.jprocont.2010.06.007
10.1002/aic.15408
10.1016/j.compchemeng.2015.11.002
10.1016/j.sysconle.2010.06.005
10.1021/ie401044q
10.1016/0098-1354(92)80051-A
10.1016/j.compchemeng.2012.06.011
10.1021/ie3002364
10.1016/j.apenergy.2017.03.081
10.1002/aic.11805
10.1016/j.compchemeng.2003.08.002
10.1016/j.jprocont.2006.10.011
10.1002/aic.14914
10.1016/j.automatica.2012.03.020
10.1002/aic.15564
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Keywords Plant-wide control
Integration
Scheduling
Planning
Operations
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References Du, Park, Harjunkoski, Baldea (bib0011) 2015; 79
Zachar, Daoutidis (bib0044) 2017
Munir, Yu, Young, Wilson (bib0021) 2015; 43
Trifkovic, Marvin, Sheikhzadeh, Daoutidis (bib0041) 2014; 60
Shin, Lee, Realff (bib0031) 2017; 195
Tippett, Bao (bib0037) 2013; 59
Engell (bib0013) 2007; 17
Taylor, Chen (bib0036) 2015; 2
Pattison, Touretzky, Johansson, Harjunkoski, Baldea (bib0025) 2016; 55
Zhuge, Ierapetritou (bib0046) 2015; 61
Baldea, Daoutidis (bib0003) 2012
Lee, Shin, Realff (bib0018) 2017
Ellis, Durand, Christofides (bib0012) 2014; 24
Shobrys, White (bib0032) 2002; 26
Negenborn, Maestre (bib0022) 2014; 34
Daoutidis, Marvin, Rangarajan, Torres (bib0009) 2013; 59
Kramer (bib0016) 1992; 16
Tosukhowong, Lee (bib0038) 2009; 55
Touretzky, Harjunkoski, Baldea (bib0040) 2017; 63
Zhuge, Ierapetritou (bib0045) 2012; 51
Risbeck, Rawlings (bib0029) 2017; 478
Daoutidis, Tang, Jogwar (bib0010) 2017
Baldea, Harjunkoski (bib0005) 2014; 71
Lopez-Negrete, D’Amato, Biegler, Kumar (bib0020) 2013; 51
Baldea, Du, Park, Harjunkoski (bib0004) 2015; 61
Castro, Sun, Harjunkoski (bib0006) 2013; 52
Lee, Lee (bib0017) 2006; 30
Stewart, Venkat, Rawlings, Wright, Pannocchia (bib0035) 2010; 59
Pattison, Touretzky, Harjunkoski, Baldea (bib0024) 2017; 63
Amrit, Rawlings, Biegler (bib0001) 2013; 58
Zachar, Daoutidis (bib0043) 2017; 8
Lee, Wong (bib0019) 2010; 20
Daoutidis, Kelloway, Marvin, Rangarajan, Torres (bib0008) 2013; 2
Kadam, Marquardt (bib0015) 2007
Pistikopoulos, Diangelakis (bib0026) 2016; 91
Farina, Scattolini (bib0014) 2012; 48
Pistikopoulos, Diangelakis, Oberdieck, Papathanasiou, Nascu, Sun (bib0027) 2015; 136
Shin, Lee (bib0030) 2016; 91
Skogestad (bib0033) 2000; 10
Baldea (bib0002) 2017
Ning, You (bib0023) 2017
Skogestad (bib0034) 2004; 28
Tosukhowong, Lee, Lee, Lu (bib0039) 2004; 29
Wang, Tong, Palazoglu, El-Farra (bib0042) 2014
Christofides, Scattolini, de la Peña, Liu (bib0007) 2013; 51
Rangaiah, Kariwala (bib0028) 2012
Pattison (10.1016/j.compchemeng.2018.04.011_bib0024) 2017; 63
Baldea (10.1016/j.compchemeng.2018.04.011_bib0004) 2015; 61
Zachar (10.1016/j.compchemeng.2018.04.011_bib0043) 2017; 8
Shobrys (10.1016/j.compchemeng.2018.04.011_bib0032) 2002; 26
Baldea (10.1016/j.compchemeng.2018.04.011_bib0002) 2017
Zhuge (10.1016/j.compchemeng.2018.04.011_bib0046) 2015; 61
Engell (10.1016/j.compchemeng.2018.04.011_bib0013) 2007; 17
Shin (10.1016/j.compchemeng.2018.04.011_bib0030) 2016; 91
Baldea (10.1016/j.compchemeng.2018.04.011_bib0003) 2012
Shin (10.1016/j.compchemeng.2018.04.011_bib0031) 2017; 195
Skogestad (10.1016/j.compchemeng.2018.04.011_bib0033) 2000; 10
Pattison (10.1016/j.compchemeng.2018.04.011_bib0025) 2016; 55
Lee (10.1016/j.compchemeng.2018.04.011_bib0019) 2010; 20
Daoutidis (10.1016/j.compchemeng.2018.04.011_bib0008) 2013; 2
Lopez-Negrete (10.1016/j.compchemeng.2018.04.011_bib0020) 2013; 51
Rangaiah (10.1016/j.compchemeng.2018.04.011_bib0028) 2012
Daoutidis (10.1016/j.compchemeng.2018.04.011_bib0010) 2017
Zhuge (10.1016/j.compchemeng.2018.04.011_bib0045) 2012; 51
Ellis (10.1016/j.compchemeng.2018.04.011_bib0012) 2014; 24
Lee (10.1016/j.compchemeng.2018.04.011_bib0017) 2006; 30
Wang (10.1016/j.compchemeng.2018.04.011_bib0042) 2014
Amrit (10.1016/j.compchemeng.2018.04.011_bib0001) 2013; 58
Christofides (10.1016/j.compchemeng.2018.04.011_bib0007) 2013; 51
Taylor (10.1016/j.compchemeng.2018.04.011_bib0036) 2015; 2
Kramer (10.1016/j.compchemeng.2018.04.011_bib0016) 1992; 16
Risbeck (10.1016/j.compchemeng.2018.04.011_bib0029) 2017; 478
Tippett (10.1016/j.compchemeng.2018.04.011_bib0037) 2013; 59
Tosukhowong (10.1016/j.compchemeng.2018.04.011_bib0038) 2009; 55
Farina (10.1016/j.compchemeng.2018.04.011_bib0014) 2012; 48
Lee (10.1016/j.compchemeng.2018.04.011_bib0018) 2017
Pistikopoulos (10.1016/j.compchemeng.2018.04.011_bib0027) 2015; 136
Trifkovic (10.1016/j.compchemeng.2018.04.011_bib0041) 2014; 60
Du (10.1016/j.compchemeng.2018.04.011_bib0011) 2015; 79
Pistikopoulos (10.1016/j.compchemeng.2018.04.011_bib0026) 2016; 91
Tosukhowong (10.1016/j.compchemeng.2018.04.011_bib0039) 2004; 29
Munir (10.1016/j.compchemeng.2018.04.011_bib0021) 2015; 43
Skogestad (10.1016/j.compchemeng.2018.04.011_bib0034) 2004; 28
Kadam (10.1016/j.compchemeng.2018.04.011_bib0015) 2007
Negenborn (10.1016/j.compchemeng.2018.04.011_bib0022) 2014; 34
Touretzky (10.1016/j.compchemeng.2018.04.011_bib0040) 2017; 63
Zachar (10.1016/j.compchemeng.2018.04.011_bib0044) 2017
Ning (10.1016/j.compchemeng.2018.04.011_bib0023) 2017
Castro (10.1016/j.compchemeng.2018.04.011_bib0006) 2013; 52
Daoutidis (10.1016/j.compchemeng.2018.04.011_sbref0009) 2013; 59
Baldea (10.1016/j.compchemeng.2018.04.011_bib0005) 2014; 71
Stewart (10.1016/j.compchemeng.2018.04.011_bib0035) 2010; 59
References_xml – start-page: 4838
  year: 2014
  end-page: 4843
  ident: bib0042
  article-title: Energy management for the chlor-alkali process with hybrid renewable energy generation using receding horizon optimization
  publication-title: Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
– volume: 2
  start-page: 87
  year: 2015
  end-page: 98
  ident: bib0036
  article-title: Technique for low amperage potline operation for electricity grid storage
  publication-title: Metall. Mater. Trans. E
– volume: 30
  start-page: 1603
  year: 2006
  end-page: 1618
  ident: bib0017
  article-title: Approximate dynamic programming based approach to process control and scheduling
  publication-title: Comput. Chem. Eng.
– volume: 43
  start-page: 205
  year: 2015
  end-page: 218
  ident: bib0021
  article-title: The current status of process analytical technologies in the dairy industry
  publication-title: Trends Food Sci. Technol.
– volume: 59
  year: 2013
  ident: bib0009
  article-title: Engineering biomass conversion processes: a systems perspective
  publication-title: AlChE J.
– volume: 61
  start-page: 4179
  year: 2015
  end-page: 4190
  ident: bib0004
  article-title: Integrated production scheduling and model predictive control of continuous processes
  publication-title: AlChE J.
– volume: 55
  start-page: 4562
  year: 2016
  end-page: 4584
  ident: bib0025
  article-title: Optimal process operations in fast-changing electricity markets: framework for scheduling with low-order dynamic models and an air separation application
  publication-title: Ind. Eng. Chem. Res.
– volume: 17
  start-page: 203
  year: 2007
  end-page: 219
  ident: bib0013
  article-title: Feedback control for optimal process operation
  publication-title: J. Proc. Control
– volume: 91
  start-page: 85
  year: 2016
  end-page: 92
  ident: bib0026
  article-title: Towards the integration of process design, control and scheduling: are we getting closer?
  publication-title: Comput. Chem. Eng.
– volume: 58
  start-page: 334
  year: 2013
  end-page: 343
  ident: bib0001
  article-title: Optimizing process economics online using model predictive control
  publication-title: Comput. Chem. Eng.
– volume: 79
  start-page: 59
  year: 2015
  end-page: 69
  ident: bib0011
  article-title: A time scale bridging approach for integration of production scheduling and process control
  publication-title: Comput. Chem. Eng.
– volume: 16
  start-page: 313
  year: 1992
  end-page: 328
  ident: bib0016
  article-title: Autoassociative neural networks
  publication-title: Comput. Chem. Eng.
– start-page: 419
  year: 2007
  end-page: 434
  ident: bib0015
  article-title: Assessment and Future Directions of Nonlinear Model Predictive Control
  publication-title: Integration of Economical Optimization and Control for Intentionally Transient Process Operation
– volume: 478
  start-page: 258
  year: 2017
  end-page: 265
  ident: bib0029
  article-title: Model predictive control with discrete actuators: theory and application
  publication-title: Automatica
– volume: 26
  start-page: 149
  year: 2002
  end-page: 160
  ident: bib0032
  article-title: Planning, scheduling and control systems: why cannot they work together
  publication-title: Comput. Chem. Eng.
– volume: 71
  start-page: 377
  year: 2014
  end-page: 390
  ident: bib0005
  article-title: Integrated production scheduling and process control: a systematic review
  publication-title: Comput. Chem. Eng.
– volume: 10
  start-page: 487
  year: 2000
  end-page: 507
  ident: bib0033
  article-title: Plantwide control: the search for the self-optimizing control structure
  publication-title: J. Process Control
– volume: 51
  start-page: 8550
  year: 2012
  end-page: 8565
  ident: bib0045
  article-title: Integration of scheduling and control with closed loop implementation
  publication-title: Ind. Eng. Chem. Res.
– volume: 51
  start-page: 21
  year: 2013
  end-page: 41
  ident: bib0007
  article-title: Distributed model predictive control: a tutorial review and future research directions
  publication-title: Comput. Chem. Eng.
– volume: 34
  start-page: 87
  year: 2014
  end-page: 97
  ident: bib0022
  article-title: Distributed model predictive control: an overview and roadmap of future research opportunities
  publication-title: IEEE Control Syst.
– volume: 91
  start-page: 114
  year: 2016
  end-page: 126
  ident: bib0030
  article-title: Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand
  publication-title: Comput. Chem. Eng.
– year: 2012
  ident: bib0003
  article-title: Dynamics and Nonlinear Control of Integrated Process Systems
– volume: 48
  start-page: 1088
  year: 2012
  end-page: 1096
  ident: bib0014
  article-title: Distributed predictive control: a non-cooperative algorithm with neighbor-to-neighbor communication for linear systems
  publication-title: Automatica
– volume: 61
  start-page: 3304
  year: 2015
  end-page: 3319
  ident: bib0046
  article-title: An integrated framework for scheduling and control using fast model predictive control
  publication-title: AlChE J.
– volume: 63
  start-page: 1959
  year: 2017
  end-page: 1973
  ident: bib0040
  article-title: Dynamic models and fault diagnosis-based triggers for closed-loop scheduling
  publication-title: AIChE J.
– volume: 29
  start-page: 199
  year: 2004
  end-page: 208
  ident: bib0039
  article-title: An introduction to a dynamic plant-wide optimization strategy for an integrated plant
  publication-title: Comput. Chem. Eng.
– volume: 55
  start-page: 919
  year: 2009
  end-page: 930
  ident: bib0038
  article-title: Approximate dynamic programming based optimal control applied to an integrated plant with recycle
  publication-title: AlChE J.
– volume: 60
  start-page: 2546
  year: 2014
  ident: bib0041
  article-title: Dynamic real-time optimization and control of a hybrid energy system
  publication-title: AlChE J.
– start-page: 247
  year: 2017
  end-page: 271
  ident: bib0002
  article-title: Employing Chemical Processes as Grid-level Energy Storage Devices
  publication-title: Advances in Energy Systems Engineering
– year: 2017
  ident: bib0023
  article-title: Leveraging big data for adaptive robust optimization of scheduling under uncertainty
  publication-title: Proceedings of 2017 ACC
– year: 2017
  ident: bib0010
  article-title: Decomposing complex plants for distributed control: perspectives from network theory
  publication-title: Comput. Chem. Eng.
– year: 2012
  ident: bib0028
  article-title: Plantwide Control: Recent Developments and Applications
– volume: 195
  start-page: 616
  year: 2017
  end-page: 633
  ident: bib0031
  article-title: Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty
  publication-title: Appl. Energy
– volume: 51
  start-page: 55
  year: 2013
  end-page: 64
  ident: bib0020
  article-title: Fast nonlinear model predictive control: formulation and industrial process applications
  publication-title: Comput. Chem. Eng.
– volume: 59
  start-page: 460
  year: 2010
  end-page: 469
  ident: bib0035
  article-title: Cooperative distributed model predictive control
  publication-title: Systems & Control Letters
– volume: 8
  start-page: 178
  year: 2017
  end-page: 189
  ident: bib0043
  article-title: Microgrid/macrogrid energy exchange: a novel market structure and stochastic scheduling
  publication-title: IEEE Trans Smart Grid
– volume: 2
  start-page: 442
  year: 2013
  ident: bib0008
  article-title: Process systems engineering for biorefineries: new research vistas
  publication-title: Curr. Opin. Chem. Eng.
– volume: 24
  start-page: 1156
  year: 2014
  end-page: 1178
  ident: bib0012
  article-title: A tutorial review of economic model predictive control methods
  publication-title: J. Proc. Control
– volume: 28
  start-page: 219
  year: 2004
  end-page: 234
  ident: bib0034
  article-title: Control structure design for complete chemical plants
  publication-title: Comput. Chem. Eng.
– year: 2017
  ident: bib0018
  article-title: Machine learning: overview of the recent progresses and implications for the process systems engineering field
  publication-title: Comput. Chem. Eng
– volume: 63
  start-page: 639
  year: 2017
  end-page: 651
  ident: bib0024
  article-title: Moving horizon closed-loop production scheduling using dynamic process models
  publication-title: AIChE J.
– volume: 59
  start-page: 787
  year: 2013
  end-page: 804
  ident: bib0037
  article-title: Distributed model predictive control based on dissipativity
  publication-title: AlChE J.
– year: 2017
  ident: bib0044
  article-title: Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands
  publication-title: J Process Control
– volume: 20
  start-page: 1038
  year: 2010
  end-page: 1048
  ident: bib0019
  article-title: Approximate dynamic programming approach for process control
  publication-title: J. Proc. Control
– volume: 52
  start-page: 13046
  year: 2013
  end-page: 13058
  ident: bib0006
  article-title: Resourcetask network formulations for industrial demand side management of a steel plant
  publication-title: Ind. Eng. Chem. Res.
– volume: 136
  start-page: 115
  year: 2015
  end-page: 138
  ident: bib0027
  article-title: PAROC an integrated framework and software platform for the optimisation and advanced model-based control of process systems
  publication-title: Chem. Eng. Sci.
– volume: 136
  start-page: 115
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0027
  article-title: PAROC an integrated framework and software platform for the optimisation and advanced model-based control of process systems
  publication-title: Chem. Eng. Sci.
  doi: 10.1016/j.ces.2015.02.030
– volume: 29
  start-page: 199
  issue: 1
  year: 2004
  ident: 10.1016/j.compchemeng.2018.04.011_bib0039
  article-title: An introduction to a dynamic plant-wide optimization strategy for an integrated plant
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2004.07.028
– volume: 59
  start-page: 787
  issue: 3
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0037
  article-title: Distributed model predictive control based on dissipativity
  publication-title: AlChE J.
  doi: 10.1002/aic.13868
– year: 2012
  ident: 10.1016/j.compchemeng.2018.04.011_bib0003
– volume: 60
  start-page: 2546
  year: 2014
  ident: 10.1016/j.compchemeng.2018.04.011_bib0041
  article-title: Dynamic real-time optimization and control of a hybrid energy system
  publication-title: AlChE J.
  doi: 10.1002/aic.14458
– volume: 91
  start-page: 114
  year: 2016
  ident: 10.1016/j.compchemeng.2018.04.011_bib0030
  article-title: Multi-time scale procurement planning considering multiple suppliers and uncertainty in supply and demand
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2016.03.024
– volume: 71
  start-page: 377
  year: 2014
  ident: 10.1016/j.compchemeng.2018.04.011_bib0005
  article-title: Integrated production scheduling and process control: a systematic review
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2014.09.002
– volume: 34
  start-page: 87
  issue: 4
  year: 2014
  ident: 10.1016/j.compchemeng.2018.04.011_bib0022
  article-title: Distributed model predictive control: an overview and roadmap of future research opportunities
  publication-title: IEEE Control Syst.
  doi: 10.1109/MCS.2014.2320397
– year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0044
  article-title: Scheduling and supervisory control for cost effective load shaping of microgrids with flexible demands
  publication-title: J Process Control
– volume: 8
  start-page: 178
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0043
  article-title: Microgrid/macrogrid energy exchange: a novel market structure and stochastic scheduling
  publication-title: IEEE Trans Smart Grid
  doi: 10.1109/TSG.2016.2600487
– volume: 30
  start-page: 1603
  year: 2006
  ident: 10.1016/j.compchemeng.2018.04.011_bib0017
  article-title: Approximate dynamic programming based approach to process control and scheduling
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2006.05.043
– volume: 26
  start-page: 149
  issue: 2
  year: 2002
  ident: 10.1016/j.compchemeng.2018.04.011_bib0032
  article-title: Planning, scheduling and control systems: why cannot they work together
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/S0098-1354(01)00737-2
– volume: 58
  start-page: 334
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0001
  article-title: Optimizing process economics online using model predictive control
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2013.07.015
– volume: 55
  start-page: 4562
  year: 2016
  ident: 10.1016/j.compchemeng.2018.04.011_bib0025
  article-title: Optimal process operations in fast-changing electricity markets: framework for scheduling with low-order dynamic models and an air separation application
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/acs.iecr.5b03499
– volume: 61
  start-page: 4179
  issue: 12
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0004
  article-title: Integrated production scheduling and model predictive control of continuous processes
  publication-title: AlChE J.
  doi: 10.1002/aic.14951
– year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0010
  article-title: Decomposing complex plants for distributed control: perspectives from network theory
  publication-title: Comput. Chem. Eng.
– volume: 10
  start-page: 487
  year: 2000
  ident: 10.1016/j.compchemeng.2018.04.011_bib0033
  article-title: Plantwide control: the search for the self-optimizing control structure
  publication-title: J. Process Control
  doi: 10.1016/S0959-1524(00)00023-8
– volume: 2
  start-page: 442
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0008
  article-title: Process systems engineering for biorefineries: new research vistas
  publication-title: Curr. Opin. Chem. Eng.
  doi: 10.1016/j.coche.2013.09.006
– volume: 79
  start-page: 59
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0011
  article-title: A time scale bridging approach for integration of production scheduling and process control
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2015.04.026
– volume: 2
  start-page: 87
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0036
  article-title: Technique for low amperage potline operation for electricity grid storage
  publication-title: Metall. Mater. Trans. E
– volume: 51
  start-page: 21
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0007
  article-title: Distributed model predictive control: a tutorial review and future research directions
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2012.05.011
– volume: 59
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_sbref0009
  article-title: Engineering biomass conversion processes: a systems perspective
  publication-title: AlChE J.
  doi: 10.1002/aic.13978
– volume: 24
  start-page: 1156
  issue: 8
  year: 2014
  ident: 10.1016/j.compchemeng.2018.04.011_bib0012
  article-title: A tutorial review of economic model predictive control methods
  publication-title: J. Proc. Control
  doi: 10.1016/j.jprocont.2014.03.010
– year: 2012
  ident: 10.1016/j.compchemeng.2018.04.011_bib0028
– volume: 43
  start-page: 205
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0021
  article-title: The current status of process analytical technologies in the dairy industry
  publication-title: Trends Food Sci. Technol.
  doi: 10.1016/j.tifs.2015.02.010
– volume: 20
  start-page: 1038
  issue: 9
  year: 2010
  ident: 10.1016/j.compchemeng.2018.04.011_bib0019
  article-title: Approximate dynamic programming approach for process control
  publication-title: J. Proc. Control
  doi: 10.1016/j.jprocont.2010.06.007
– volume: 63
  start-page: 639
  issue: 2
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0024
  article-title: Moving horizon closed-loop production scheduling using dynamic process models
  publication-title: AIChE J.
  doi: 10.1002/aic.15408
– volume: 91
  start-page: 85
  year: 2016
  ident: 10.1016/j.compchemeng.2018.04.011_bib0026
  article-title: Towards the integration of process design, control and scheduling: are we getting closer?
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2015.11.002
– volume: 59
  start-page: 460
  issue: 8
  year: 2010
  ident: 10.1016/j.compchemeng.2018.04.011_bib0035
  article-title: Cooperative distributed model predictive control
  publication-title: Systems & Control Letters
  doi: 10.1016/j.sysconle.2010.06.005
– volume: 52
  start-page: 13046
  issue: 36
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0006
  article-title: Resourcetask network formulations for industrial demand side management of a steel plant
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie401044q
– start-page: 419
  year: 2007
  ident: 10.1016/j.compchemeng.2018.04.011_bib0015
  article-title: Assessment and Future Directions of Nonlinear Model Predictive Control
– volume: 16
  start-page: 313
  year: 1992
  ident: 10.1016/j.compchemeng.2018.04.011_bib0016
  article-title: Autoassociative neural networks
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/0098-1354(92)80051-A
– year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0023
  article-title: Leveraging big data for adaptive robust optimization of scheduling under uncertainty
– start-page: 4838
  year: 2014
  ident: 10.1016/j.compchemeng.2018.04.011_bib0042
  article-title: Energy management for the chlor-alkali process with hybrid renewable energy generation using receding horizon optimization
– volume: 51
  start-page: 55
  year: 2013
  ident: 10.1016/j.compchemeng.2018.04.011_bib0020
  article-title: Fast nonlinear model predictive control: formulation and industrial process applications
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2012.06.011
– volume: 478
  start-page: 258
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0029
  article-title: Model predictive control with discrete actuators: theory and application
  publication-title: Automatica
– volume: 51
  start-page: 8550
  issue: 25
  year: 2012
  ident: 10.1016/j.compchemeng.2018.04.011_bib0045
  article-title: Integration of scheduling and control with closed loop implementation
  publication-title: Ind. Eng. Chem. Res.
  doi: 10.1021/ie3002364
– volume: 195
  start-page: 616
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0031
  article-title: Operational planning and optimal sizing of microgrid considering multi-scale wind uncertainty
  publication-title: Appl. Energy
  doi: 10.1016/j.apenergy.2017.03.081
– volume: 55
  start-page: 919
  issue: 4
  year: 2009
  ident: 10.1016/j.compchemeng.2018.04.011_bib0038
  article-title: Approximate dynamic programming based optimal control applied to an integrated plant with recycle
  publication-title: AlChE J.
  doi: 10.1002/aic.11805
– start-page: 247
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0002
  article-title: Employing Chemical Processes as Grid-level Energy Storage Devices
– volume: 28
  start-page: 219
  year: 2004
  ident: 10.1016/j.compchemeng.2018.04.011_bib0034
  article-title: Control structure design for complete chemical plants
  publication-title: Comput. Chem. Eng.
  doi: 10.1016/j.compchemeng.2003.08.002
– volume: 17
  start-page: 203
  issue: 3
  year: 2007
  ident: 10.1016/j.compchemeng.2018.04.011_bib0013
  article-title: Feedback control for optimal process operation
  publication-title: J. Proc. Control
  doi: 10.1016/j.jprocont.2006.10.011
– volume: 61
  start-page: 3304
  issue: 10
  year: 2015
  ident: 10.1016/j.compchemeng.2018.04.011_bib0046
  article-title: An integrated framework for scheduling and control using fast model predictive control
  publication-title: AlChE J.
  doi: 10.1002/aic.14914
– volume: 48
  start-page: 1088
  issue: 6
  year: 2012
  ident: 10.1016/j.compchemeng.2018.04.011_bib0014
  article-title: Distributed predictive control: a non-cooperative algorithm with neighbor-to-neighbor communication for linear systems
  publication-title: Automatica
  doi: 10.1016/j.automatica.2012.03.020
– volume: 63
  start-page: 1959
  issue: 6
  year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0040
  article-title: Dynamic models and fault diagnosis-based triggers for closed-loop scheduling
  publication-title: AIChE J.
  doi: 10.1002/aic.15564
– year: 2017
  ident: 10.1016/j.compchemeng.2018.04.011_bib0018
  article-title: Machine learning: overview of the recent progresses and implications for the process systems engineering field
  publication-title: Comput. Chem. Eng
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SubjectTerms Integration
Operations
Planning
Plant-wide control
Scheduling
Title Integrating operations and control: A perspective and roadmap for future research
URI https://dx.doi.org/10.1016/j.compchemeng.2018.04.011
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