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For: Pattison RC, Touretzky CR, Harjunkoski I, Baldea M. Moving horizon closed‐loop production scheduling using dynamic process models. AIChE J 2016. [DOI: 10.1002/aic.15408] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Number Cited by Other Article(s)
1
Gangwar S, Fernández D, Pozo C, Folgado R, Jiménez L, Boer D. Scheduling optimization and risk analysis for energy-intensive industries under uncertain electricity market to facilitate financial planning. Comput Chem Eng 2023. [DOI: 10.1016/j.compchemeng.2023.108234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
2
Zhou P, Xu Z, Zhu X, Zhao J, Song C, Shao Z. Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network. Inf Sci (N Y) 2023. [DOI: 10.1016/j.ins.2023.02.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
3
Production scheduling under demand uncertainty in the presence of feedback: Model comparisons, insights, and paradoxes. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.108028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
4
Energy-aware enterprise-wide optimization and clean energy in the industrial gas industry. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
5
Mitrai I, Daoutidis P. A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107859] [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]
6
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]
7
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]
8
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]
9
Ikonen TJ, Heljanko K, Harjunkoski I. Surrogate‐based optimization of a periodic rescheduling algorithm. AIChE J 2022. [DOI: 10.1002/aic.17656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
10
Di Pretoro A, Bruns B, Negny S, Grünewald M, Riese J. Demand Response Scheduling Using Derivative-Based Dynamic Surrogate Models. Comput Chem Eng 2022. [DOI: 10.1016/j.compchemeng.2022.107711] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
11
Kelley MT, Do TT, Baldea M. Evaluating the demand response potential of ammonia plants. AIChE J 2022. [DOI: 10.1002/aic.17552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
12
Hoffmann C, Hübner J, Klaucke F, Milojević N, Müller R, Neumann M, Weigert J, Esche E, Hofmann M, Repke JU, Schomäcker R, Strasser P, Tsatsaronis G. Assessing the Realizable Flexibility Potential of Electrochemical Processes. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.1c01360] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
13
Kender R, Kaufmann F, Rößler F, Wunderlich B, Golubev D, Thomas I, Ecker AM, Rehfeldt S, Klein H. Development of a digital twin for a flexible air separation unit using a pressure-driven simulation approach. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107349] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
14
Sansana J, Joswiak MN, Castillo I, Wang Z, Rendall R, Chiang LH, Reis MS. Recent trends on hybrid modeling for Industry 4.0. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107365] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
15
Klein H, Fritsch P, Haider P, Kender R, Rößler F, Rehfeldt S, Freko P, Hoffmann R, Thomas I, Wunderlich B. Flexible Operation of Air Separation Units. CHEMBIOENG REVIEWS 2021. [DOI: 10.1002/cben.202100023] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
16
Pablos C, Merino A, Acebes LF, Pitarch JL, Biegler LT. Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107292] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
17
Kumar R, Wenzel MJ, ElBsat MN, Risbeck MJ, Drees KH, Zavala VM. Dual dynamic programming for multi-scale mixed-integer MPC. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
18
State estimation in online batch production scheduling: concepts, definitions, algorithms and optimization models. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2020.107209] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
19
Pataro IM, da Costa MVA, Joseph B. Closed-loop dynamic real-time optimization (CL-DRTO) of a bioethanol distillation process using an advanced multilayer control architecture. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107075] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
20
Riese J, Grünewald M. Challenges and Opportunities to Enhance Flexibility in Design and Operation of Chemical Processes. CHEM-ING-TECH 2020. [DOI: 10.1002/cite.202000057] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
21
Basán NP, Cóccola ME, Dondo RG, Guarnaschelli A, Schweickardt GA, Méndez CA. A reactive-iterative optimization algorithm for scheduling of air separation units under uncertainty in electricity prices. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107050] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
22
Klein H, Fritsch P, Haider P, Kender R, Rößler F, Rehfeldt S, Freko P, Hoffmann R, Thomas I, Wunderlich B. Flexibler Betrieb von Luftzerlegungsanlagen. CHEM-ING-TECH 2020. [DOI: 10.1002/cite.202000054] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
23
Ikonen TJ, Heljanko K, Harjunkoski I. Reinforcement learning of adaptive online rescheduling timing and computing time allocation. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.106994] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
24
Schäfer P, Schweidtmann AM, Mitsos A. Nonlinear scheduling with time‐variable electricity prices using sensitivity‐based truncations of wavelet transforms. AIChE J 2020. [DOI: 10.1002/aic.16986] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
25
Kelley MT, Baldick R, Baldea M. Demand response scheduling under uncertainty: Chance‐constrained framework and application to an air separation unit. AIChE J 2020. [DOI: 10.1002/aic.16273] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
26
Simkoff JM, Lejarza F, Kelley MT, Tsay C, Baldea M. Process Control and Energy Efficiency. Annu Rev Chem Biomol Eng 2020;11:423-445. [PMID: 32204603 DOI: 10.1146/annurev-chembioeng-092319-083227] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
27
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]
28
Shao F, Li X, Zhu L, Gong H, Chen X. Optimal Scheduling of the Multigrade Parallel Distillation Column System with a Continuous-Time Formulation. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b04258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
29
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]
30
Dias LS, Ierapetritou MG. Optimal operation and control of intensified processes — challenges and opportunities. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2018.12.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
31
Challenges and future directions for process and product synthesis and design. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.06.022] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
32
Tsay C, Baldea M. 110th Anniversary: Using Data to Bridge the Time and Length Scales of Process Systems. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02282] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
33
Caspari A, Offermanns C, Schäfer P, Mhamdi A, Mitsos A. A flexible air separation process: 1. Design and steady‐state optimizations. AIChE J 2019. [DOI: 10.1002/aic.16705] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
34
Caspari A, Offermanns C, Schäfer P, Mhamdi A, Mitsos A. A flexible air separation process: 2. Optimal operation using economic model predictive control. AIChE J 2019. [DOI: 10.1002/aic.16721] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
35
Kender R, Wunderlich B, Thomas I, Peschel A, Rehfeldt S, Klein H. Pressure-driven dynamic simulation of start up and shutdown procedures of distillation columns in air separation units. Chem Eng Res Des 2019. [DOI: 10.1016/j.cherd.2019.04.031] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
36
Tsay C, Kumar A, Flores-Cerrillo J, Baldea M. Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.03.022] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
37
Rawlings JB, Maravelias CT. Bringing new technologies and approaches to the operation and control of chemical process systems. AIChE J 2019. [DOI: 10.1002/aic.16615] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
38
Schäfer P, Caspari A, Kleinhans K, Mhamdi A, Mitsos A. Reduced dynamic modeling approach for rectification columns based on compartmentalization and artificial neural networks. AIChE J 2019. [DOI: 10.1002/aic.16568] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
39
Model-based bidding strategies on the primary balancing market for energy-intense processes. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2018.09.026] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
40
Allman A, Palys MJ, Daoutidis P. Scheduling‐informed optimal design of systems with time‐varying operation: A wind‐powered ammonia case study. AIChE J 2018. [DOI: 10.1002/aic.16434] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
41
Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.10.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
42
Brée LC, Perrey K, Bulan A, Mitsos A. Demand side management and operational mode switching in chlorine production. AIChE J 2018. [DOI: 10.1002/aic.16352] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
43
Beal LD, Petersen D, Grimsman D, Warnick S, Hedengren JD. Integrated scheduling and control in discrete-time with dynamic parameters and constraints. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.04.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
44
Daoutidis P, Lee JH, Harjunkoski I, Skogestad S, Baldea M, Georgakis C. Integrating operations and control: A perspective and roadmap for future research. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.04.011] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
45
Dias LS, Pattison RC, Tsay C, Baldea M, Ierapetritou MG. A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.03.009] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
46
Mitsos A, Asprion N, Floudas CA, Bortz M, Baldea M, Bonvin D, Caspari A, Schäfer P. Challenges in process optimization for new feedstocks and energy sources. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.03.013] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
47
Tang W, Allman A, Pourkargar DB, Daoutidis P. Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2017.12.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
48
Optimal operation of parallel distillation systems with multiple product grades: An industrial case study. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.01.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
49
Optimal scheduling for wind-powered ammonia generation: Effects of key design parameters. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2017.10.010] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
50
Walz O, Djelassi H, Caspari A, Mitsos A. Bounded-error optimal experimental design via global solution of constrained min–max program. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2017.12.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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