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2020-12-09
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How to Cite
A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study
R. Idris
Process Systems Engineering Research Group, FKKSA, Universiti Malaysia Pahang, Gambang 26300, Pahang, Malaysia.
N. Harun
Mohamad Rizza Othman
Universiti Malaysia Pahan
DOI: https://doi.org/10.24294/ace.v3i2.588
Keywords: Dividing Wall Column, Process Modelling, Relative Gain Array
Abstract
Dividing wall column (DWC) offers higher degree of freedom in comparison with the conventional column. Furthermore, the different sections configurations within the column are highly interacting with several recycle loops. Facing with such complex unit operation, describing its behaviour encourages the focal point on the resolution of ideal modelling approaches. Equation oriented (EO) modelling of DWC has been studied by several researchers involving complex algorithm and methodology. In this work, a new approach for modelling of DWC is presented. The modelling methodology involves variables connectivity based on ports and streams that is admissible to equation-oriented flow sheet. To verify the functionality of the proposed method, the modelled DWC is validated with two case studies depicted from experimental literature data to separate alcohol mixture and fatty acid fractionation. The model development was performed in MOSAIC, a web-based modelling tool and run in gPROMS. The model shows good convergence and has less than 10% error when compared to the above mentioned case studies. To furthermore extend the model capability, relative gain array (RGA) analysis was conducted for the fatty acid fractionation to determine the best control configuration in DWC. Result shows that L-S-V and L-S-B configurations are the best control configurations. Our analysis also shows that reflux flowrate, side flowrate and vapor boilup are best to control distillate product, side product and bottom product, respectively.
Author Biographies
R. Idris, Process Systems Engineering Research Group, FKKSA, Universiti Malaysia Pahang, Gambang 26300, Pahang, Malaysia.
Process Systems Engineering Research GroupN. Harun
Process Systems Engineering Research GroupMohamad Rizza Othman, Universiti Malaysia Pahan
Process Systems Engineering Research GroupReferences
[1] Aly G, Ashour I. Applicability of the perturbed hard chain equation of state for simulation of distillation processes in the oleochemical industry. Part I: Separation of Fatty Acids. Separation Science and Technology 1992; 27(7): 955–974. Available from: http://doi.org/10.1080/01496399208019735[2] Illner M, Othman MR. Modelling and simulation of a dividing wall column for separation of fatty acid in oleochemical industries; 2014 Oct 29; Kuala Lumpur. Taylor’s University & IChemE, Kuala Lumpur: SOMChE & RSCE 2014 Conference; 2014. p. 1–9.
[3] Dunnebier G, Pantelides CC. Optimal design of thermally coupled distillation columns. Industrial & Engineering Chemistry Research 1999; 38(1): 162–176.
[4] Pattison RC, Gupta AM, Baldea M. Equation-oriented optimization of process flowsheets with dividing-wall columns. AIChE Journal 2015; 62(3): 704–716. doi: 10.1002/aic.15060
[5] Kuntsche S, Barz T, Kraus R, et al. MOSAIC a web-based modeling environment for code generation. Computers & Chemical Engineering 2011; 35(11): 2257–2273. Available from: http://doi.org/10.1016/j.compchemeng.2011.03.022
[6] Marchetti M, Rao A, Vickery D. Mixed mode simulation — Adding equation oriented convergence to a sequential modular simulation tool. Computer Aided Chemical Engineering 2001; 9: 231–236. Available from: http://doi.org/10.1016/S1570-7946(01)80034-1
[7] Pantelides CC, Nauta M, Matzopoulos M, et al. Equation-oriented process modelling technology: recent advances & current perspectives; 2015 Feb; Abu Dhabi, UAE. Abu Dhabi, UAE: 5th Annual TRC-Idemitsu Workshop; 2015.
[8] Gani R, Cameron IT, Lucia A, et al. Process Systems Engineering, 2. Modeling and Simulation. Ullmann’s Encyclopedia of Industrial Chemistry 2012. Available from: http://doi.org/10.1002/14356007.o22_o06
[9] Nguyen TD, Rouzineau D, Meyer M, et al. Design and simulation of divided wall column: Experimental validation and sensitivity analysis. Chemical Engineering and Processing: Process Intensification 2016; 104: 94–111. Available from: http://doi.org/10.1016/j.cep.2016.02.012
[10] Chemtech S, Acid A, Separation A, et al. Separation technology for the chemical process industry [Internet]. Switzerland: Sulzer Ltd.; 2017. Available from: https://www.sulzer.com
[11] IPS Engineering. Oleochemical processing plant. Angers, France: IPS Engineering; 2014. Available from: https://www.ips.engineering
[12] Sankaranarayanan D, Deepakkumar G. Implementing the concept of relative gain array for the control of MIMO system: Applied to distillation column. Annals University Regional Centre, Coimbatore, India 2015; 4648–4653.
[13] Koko IOM, Barakat TAM. Modelling and control analysis of dividing wall distillation columns. University of Khartoum Engineering Journal (UofKEJ) 2015; 5(1): 18–25.
[14] Mutalib MIA, Smith R. Operation and control of dividing wall distillation columns. Chemical Engineering Research and Design 1998; 76(3): 319–334. Available from: http://doi.org/10.1205/026387698524965
[15] Cho Y, Kim B, Kim D, et al. Operation of divided wall column with vapor sidedraw using profile position control. Journal of Process Control 2009; 19(6): 932–941. Available from: http://doi.org/10.1016/j.jprocont.2008.12.003
[16] Chansomwong A, Zanganeh KE, Shafeen A, et al. A decentralized control structure for a CO2 compression, capture and purification process: An uncertain Relative Gain Array approach. IFAC Proceedings Volumes (IFAC-Papers Online) 2011; 18: 8558–8563. Available from: http://doi.org/10.3182/20110828-6-IT-1002.00663