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Tsay C. Sobolev trained neural network surrogate models for optimization. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Ma Y, Zhang N, Li J, Cao C. Optimal design of extractive dividing-wall column using an efficient equation-oriented approach. Front Chem Sci Eng 2020. [DOI: 10.1007/s11705-020-1977-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
AbstractThe extractive dividing-wall column (EDWC) is one of the most efficient technologies for separation of azeotropic or close boiling-point mixtures, but its design is fairly challenging. In this paper we extend the hybrid feasible path optimisation algorithm (Ma Y, McLaughlan M, Zhang N, Li J. Computers & Chemical Engineering, 2020, 143: 107058) for such optimal design. The tolerances-relaxation integration method is refined to allow for long enough integration time that can ensure the solution of the pseudo-transient continuation simulation close to the steady state before the required tolerance is used. To ensure the gradient and Jacobian information available for optimisation, we allow a relaxed tolerance for the simulation in the sensitivity analysis mode when the simulation diverges under small tolerance. In addition, valid lower bounds on purity of the recycled entrainer and the vapour flow rate in column sections are imposed to improve computational efficiency. The computational results demonstrate that the extended hybrid algorithm can achieve better design of the EDWC compared to those in literature. The energy consumption can be reduced by more than 20% compared with existing literature report. In addition, the optimal design of the heat pump assisted EDWC is achieved using the improved hybrid algorithm for the first time.
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Ma Y, McLaughlan M, Zhang N, Li J. Novel feasible path optimisation algorithms using steady-state and/or pseudo-transient simulations. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107058] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Zhu Q, Zhang B, Chen Q, He C, Foo DC, Ren J, Yu H. Model reductions for multiscale stochastic optimization of cooling water system equipped with closed wet cooling towers. Chem Eng Sci 2020. [DOI: 10.1016/j.ces.2020.115773] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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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: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Recent advances in gas-to-liquids process intensification with emphasis on reactive distillation. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2018.12.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Daoutidis P, Tang W, Allman A. Decomposition of control and optimization problems by network structure: Concepts, methods, and inspirations from biology. AIChE J 2019. [DOI: 10.1002/aic.16708] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Prodromos Daoutidis
- Department of Chemical Engineering and Materials Science University of Minnesota Minneapolis Minnesota
| | - Wentao Tang
- Department of Chemical Engineering and Materials Science University of Minnesota Minneapolis Minnesota
| | - Andrew Allman
- Department of Chemical Engineering and Materials Science University of Minnesota Minneapolis Minnesota
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Affiliation(s)
- Jianyuan Zhai
- School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta Georgia
| | - Fani Boukouvala
- School of Chemical & Biomolecular Engineering Georgia Institute of Technology Atlanta Georgia
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Moharir M, Pourkargar DB, Almansoori A, Daoutidis P. Distributed Model Predictive Control of an Amine Gas Sweetening Plant. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b01291] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Manjiri Moharir
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Davood B. Pourkargar
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Ali Almansoori
- Department of Chemical Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates
| | - Prodromos Daoutidis
- Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455, United States
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Petsagkourakis P, Bonis I, Theodoropoulos C. Reduced Order Optimization of Large-Scale Nonlinear Systems with Nonlinear Inequality Constraints Using Steady State Simulators. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b00033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Panagiotis Petsagkourakis
- School of Chemical Engineering and Analytical Science, University of Manchester, Sackville Street, Manchester M13 9PL, U.K
| | - Ioannis Bonis
- School of Chemical Engineering and Analytical Science, University of Manchester, Sackville Street, Manchester M13 9PL, U.K
| | - Constantinos Theodoropoulos
- School of Chemical Engineering and Analytical Science, University of Manchester, Sackville Street, Manchester M13 9PL, U.K
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Comprehensive study of decomposition effects on distributed output tracking of an integrated process over a wide operating range. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.04.045] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Daoutidis P, Tang W, Jogwar SS. Decomposing complex plants for distributed control: Perspectives from network theory. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2017.10.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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