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Kim C, Shah M, Sahlodin AM. Design of multi-loop control systems for distillation columns: review of past and recent mathematical tools. CHEMICAL PRODUCT AND PROCESS MODELING 2021. [DOI: 10.1515/cppm-2020-0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
Design of a control structure in distillation columns involves selecting proper sets of manipulated and controlled variables (often including tray temperatures for inferential control of product compositions) and one-to-one pairing between the two sets. In this paper, various mathematical tools for achieving this goal are reviewed. First, traditional methods such as Singular Value Decomposition (SVD) and Relative Gain Array (RGA) that build upon a simplified steady-state or dynamic model of the column are explored. The role of optimization in systematizing the control design procedures is also investigated. Then, more recent inferential control techniques that rely on statistical methods such as Principal Component Regression (PCR), Partial Least Squares Regression (PLSR), and other machine learning techniques such as Artificial Neural Networks (ANN) and Support Vector Machine Regression (SVMR) are discussed extensively. The discussions include newer distillation technologies with complex configurations such as dividing-wall columns. Finally, the use of process simulators in aiding the control structure design of distillation columns is surveyed.
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Affiliation(s)
- Changsoo Kim
- School of Chemical and Biological Engineering, Institute of Chemical Processes , Seoul National University , Seoul , South Korea
| | - Manas Shah
- Simulations Plus Inc , Lancaster , CA , USA
| | - Ali M. Sahlodin
- (Tehran Polytechnic) Process Systems Engineering Laboratory, Department of Chemical Engineering , Amirkabir University of Technology , Tehran , Iran
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Ruan X, Xiao H, Jiang X, Yan X, Dai Y, He G. Graphic synthesis method for multi-technique integration separation sequences of multi-input refinery gases. Sep Purif Technol 2019. [DOI: 10.1016/j.seppur.2018.04.082] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Affiliation(s)
- Young Han Kim
- Department of Chemical Engineering, Dong-A University, Pusan, Korea
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Affiliation(s)
- Young Han Kim
- Dong-A University; Department of Chemical Engineering; 840 Hadan-dong 604-714 Saha-gu Pusan Korea
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Wang S, Zhang J, Wang S, Xu Q. Dynamic simulation for flare minimization in chemical process industry under abnormal operations. Curr Opin Chem Eng 2016. [DOI: 10.1016/j.coche.2016.07.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Luo Y, Wang L, Wang H, Yuan X. Simultaneous optimization of heat-integrated crude oil distillation systems. Chin J Chem Eng 2015. [DOI: 10.1016/j.cjche.2015.03.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Gu W, Wang K, Huang Y, Zhang B, Chen Q, Hui CW. Energy Optimization for a Multistage Crude Oil Distillation Process. Chem Eng Technol 2015. [DOI: 10.1002/ceat.201400130] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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