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Received June 22, 2016
Accepted October 15, 2016
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Dynamic matrix control applied on propane-mixed refrigerant liquefaction process
Daewoo Shipbuilding & Marine Engineering Co., Ltd., 125 Namdaemun-ro, Jung-gu, Seoul 04521, Korea 1School of Chemical & Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
jongmin@snu.ac.kr
Korean Journal of Chemical Engineering, February 2017, 34(2), 287-297(11), 10.1007/s11814-016-0292-2
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Abstract
This study proposes a dynamic matrix control strategy that produces control input sequences which are more robust and reduce power consumption than conventional proportional-integral (PI) controllers when applied to the C3MR liquefaction process. First, a rigorous process dynamic model was constructed in Aspen HYSYS Dynamics 7.3 and MATLAB 2014a which calculates dynamic responses for two different scenarios of unmeasured step disturbances increasing the load of liquefaction energy. Then, a DMC module including the manipulation of the compressor speed was formulated. The simulations using the proposed DMC module demonstrate that the multivariable optimal control increases the energy efficiency and robustness of a complex liquefaction cycle process.
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References
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Faber F, Resweber LR, Floating LNG solutions from the drawing board to reality, Offshore Technology Conference, Houston, Texas (2002).
Wood D, Mokhatab S, Economides MJ, Offshore natural gas liquefaction process and development issues, SPE Annual Technology Conference and Exhibition, Anaheim, California (2007).
Zhao WH, Yang JM, Hu ZQ, Wei YF, Ocean Eng., 38, 14 (2011)
Xavier JR, Nanjundan S, Rajendran N, Ind. Eng. Chem. Res., 51(1), 30 (2012)
Won W, Lee SK, Choi K, Kwon Y, Korean J. Chem. Eng., 31, 5 (2014)
Husnil YA, Yeo G, Lee M, Chem. Eng. Res. Des., 92, 4 (2014)
Prett DM, Ramaker BL, Cutler CR, US Patent, 4,349,869 (1982).
Garcia CE, Morshedi AM, Chem. Eng. Commun., 46, 73 (1986)
Garcia CE, Prett DM, Morari M, Automatica, 25, 3 (1989)
Poe WA, Mokhatab S, Hydrocarb. Process., 86, 6 (2007)
Sturm W, Parra-Calvache M, Chantant F, van Opstal J, Unlocking the potential of modern control and optimization strategies in LNG production, 1st Annual Gas Processing Symposium (2009).
Foss B, Control Eng. Practice, 20, 10 (2012)
Mokhatab S, Poe WA, Handbook of Natural Gas Transmission and Processing, Second Ed., Gulf Professional Publishing (2012).
den Bakker K, A step change in LNG operations through advanced process control, 23rd World Gas Conference, Amsterdam (2006).
Kim HJ, Park CC, Lee JY, Lee CS, Kim MH, J. Mechanical Sci. Technol., 30, 4 (2016)
Mandler JA, Brochu PA, Hamilton JR, US Patent, 5,791,160 (1998).
Husnil YA, Lee M, AIChE J., 60, 7 (2014)
Helgestad D, Modelling and optimization of the C3MR process for liquefaction of natural gas, Norwegian University of Science and Technology, NTNU (2009).
Alabdulkarem A, Mortazavi A, Hwang Y, Radermacher R, Rogers P, Appl. Therm. Eng., 31, 6 (2011)
Robinson DB, Peng DY, Chung SY, Fluid Phase Equilib., 24, 1 (1985)
Vetere A, Fluid Phase Equilib., 106(1-2), 1 (1995)
Li C, Jia W, Wu X, Application of Lee-Kesler equation of state to calculating compressibility factors of high pressure condensate gas, Energy Procedia 14 (2012).
Rao YVC, Chemical Engineering Thermodynamics, Universities Press (1997).
Aspen Technology, Inc., Aspen physical property system: Physical property methods V7.3 (2011).
Jensen JB, Skogestad S, Ind. Eng. Chem. Res., 48, 14 (2009)
Husnil YA, Lee M, J. Chem. Eng. Jpn., 47, 8 (2014)
Perkins JD, Interactions between process design and process control, Pergamon Press (1992).
Bland MJ, Optimisation of an ammonia synthesis loop, Norwegian University of Science and Technology, NTNU (2015).
Seborg DE, Edgar TF, Mellichamp DA, Doyle FJ III, Process Dynamics and Control, 3rd Ed., Wiley (2010).
Ang KH, Chong G, Li Y, IEEE Trans. Control Syst. Technol., 13, 4 (2005)
Visioli A, Practical PID Control, Springer (2006).
Lundstrom P, Lee JH, Morari M, Skogestad S, Comput. Chem. Eng., 19, 4 (1995)
Morshedi AM, Cutler CR, Skrovanek TA, Optimal solution of dynamic matrix control with linear programming techniques (LDMC), American Control Conferences (IEEE) (1985).
