Modeling and Simulation of Biodiesel Transesterification Reactor
Abstract
The present work deals with studying the dynamic behavior. The Oil reacting methanol to produced Biodiesel. A mathematical model for the Biodiesel Transesterification Reactor is derived based on mass balance and energy balance triglyceride (TG),diglyceride (DG),mono glyceride (MG),glyceride (G), Alkyl Ester (E)and Methanol inside the reactor. The simulation of the Biodiesel Transesterification Reactor is solved by using ''MATLAB/Simulink''. The dynamic model of the open- loop system is implemented by measuring the exit reactor temperature, exit concentration of triglyceride , alkyl ester (Biodiesel) and exit concentration of glycerol responses of Biodiesel Transesterification Reactor to a step-change disturbances in the feed triglyceride concentration from 1.11 kmol/m3 to 1.22 kmol/m3, 1.33 kmol/m3, 1.44 kmol/m3, 1.55 kmol/m3, 1.67 kmol/m3, 1 kmol/m3, 0.89 kmol/m3, 0.79 kmol/m3,0.67 kmol/m3 and 0.56 kmol/m3, feed methanol concentration from 6.66 kmol/m3 to 7.33 kmol/m3, 7.99 kmol/m3, 8.66 kmol/m3, 9.3 kmol/m3, 10 kmol/m3, 5.99 kmol/m3, 5.33 kmol/m3, 4.66 kmol/m3,3.97 kmol/m3 and 3.33 kmol/m3, volumetric flow rate from 27.08 m3/hr to 30 m3/hr, 35m3/hr, 40 m3/hr, 45 m3/hr, 22 m3/hr ,20 m3/hr, 18 m3/hr and 15 m3/hr and feed temperature from 333 K to 335 K, 338 K, 328 K, 323 K, 318 K and 313 K. The simulation results of the open-loop system showed that the sensitivity index value when the methanol is stepped from 6.66 kmol/m3 to 7.33 kmol/m3, 7.99 kmol/m3, 8.66 kmol/m3, 9.3 kmol/m3, 10 kmol/m3, 5.99 kmol/m3, 5.33 kmol/m3, 4.66 kmol/m3,3.97 kmol/m3 and 3.33 kmol/m3 is higher than from the other input variable. The results of model simulation were compared with the simulation data achieved by Mjalli, 2009 to validate the model. The results showed excellent agreement between the simulation model and simulation data of mjalli.
References
2. Awogbemi O, Kallon DV. Application of tubular reactor technologies for the acceleration of biodiesel production. Bioengineering. 2022 Jul 27;9(8):347.
3. Zohuri BA, Mossavar-Rahmani FA, Behgounia FA. Knowledge is power in four dimensions: models to forecast future paradigm: with artificial intelligence integration in energy and other use cases. Academic Press Inc; 2022. p. 423-63.
4. Diwekar U, Benavides P. Optimal control of biodiesel production in a batch reactor: part I: deterministic control. Fuel. 2012;94:211-7.
5. Benavides PT, Diwekar U. Optimal control of biodiesel production in a batch reactor: part II: stochastic control. Fuel. 2012 Apr 1;94:218-26.
6. Bildea CS, Kiss AA. Dynamics and control of a biodiesel process by reactive absorption. Chem Eng Res Des. 2011 Feb 1;89(2):187-96.
7. Chen YH, Huang YH, Lin RH, Shang NC. A continuous-flow biodiesel production process using a rotating packed bed. Biores Technol. 2010 Jan 1;101(2):668-73.
8. Hernández-Montelongo R, García-Sandoval JP, González-Álvarez A, Dochain D, Aguilar-Garnica E. Biodiesel production in a continuous packed bed reactor with recycle: a modeling approach for an esterification system. Renew Energy. 2018 Feb 1;116:857-65.
9. Ho YK, Mjalli FS, Yeoh HK. Multivariable adaptive predictive model based control of a biodiesel transesterification reactor. J Appl Sci. 2010;10(12):1019-27.
10. Hsiao MC, Kuo JY, Hsieh SA, Hsieh PH, Hou SS. Optimized conversion of waste cooking oil to biodiesel using modified calcium oxide as catalyst via a microwave heating system. Fuel. 2020 Apr 15;266:117114.
11. Bhatia SK, Bhatia RK, Jeon JM, Pugazhendhi A, Awasthi MK, Kumar D, et al. An overview on advancements in biobased transesterification methods for biodiesel production: oil resources, extraction, biocatalysts, and process intensification technologies. Fuel. 2021 Feb 1;285:119117.
12. Adokiye T, Gunorubon AJ, Kenkugile DK. Modeling and control of a biodiesel transesterification reactor. Adv Chem Eng Sci. 2020 May 13;10(3):210-24.
13. Kuen HY, Mjalli FS, Koon YH. Recursive least squares-based adaptive control of a biodiesel transesterification reactor. Ind Eng Chem Res. 2010 Nov 17;49(22):11434-42.
14. Li W, Zheng P, Guo J, Ji J, Zhang M, Zhang Z, et al. Characteristics of self-alkalization in high-rate denitrifying automatic circulation (DAC) reactor fed with methanol and sodium acetate. Biores Technol. 2014 Feb 1;154:44-50.
15. Zapata BY, Medina MA, Gutiérrez PÁ, de León HH, Beltrán CG, Gordillo RM. Different approaches for the dynamic model for the production of biodiesel. Chem Eng Res Des. 2018 Apr 1;132:536-50.
16. Zapata BY, Medina MA, Gutiérrez PÁ, de León HH, Beltrán CG, Gordillo RM. Different approaches for the dynamic model for the production of biodiesel. Chemical Engineering Research and Design. 2018 Apr 1;132:536-50.
17. Mjalli FS, San LK, Yin KC, Azlan Hussain MA. Dynamics and control of a biodiesel transesterification reactor. Chem Eng Technol. 2009 Jan;32(1):13-26.
18. Mjalli FS, Hussain MA. Approximate predictive versus self-tuning adaptive control strategies of biodiesel reactors. Ind Eng Chem Res. 2009 Dec 16;48(24):11034-47.
19. Farm Energy [Internet]. Reactors for biodiesel production; 2019 Apr 3 [cited 2024 Jul 15]. Available from: https://farm-energy.extension.org/reactors-for-biodiesel-production/
20. Pasha MK, Dai L, Liu D, Guo M, Du W. An overview to process design, simulation and sustainability evaluation of biodiesel production. Biotechnol Biofuels. 2021 Dec;14(1):1-23.
21. Richard R, Thiebaud-Roux S, Prat L. Modelling the kinetics of transesterification reaction of sunflower oil with ethanol in microreactors. Chem Eng Sci. 2013;87:258-69.
22. Shen YH, Cheng JK, Ward JD, Yu CC. Design and control of biodiesel production processes with phase split and recycle in the reactor system. J Taiwan Inst Chem Eng. 2011 Sep 1;42(5):741-50.
23. Sakai T, Kawashima A, Koshikawa T. Economic assessment of batch biodiesel production processes using homogeneous and heterogeneous alkali catalysts. Biores Technol. 2009 Jul 1;100(13):3268-76.
24. Silva MG, Nobre LR, Santiago LE, Deus MS, Jesus AA, Oliveira JA, et al. Mathematical modeling and simulation of biodiesel production in a semibatch bubble reactor. Energy Fuels. 2018 Aug 16;32(9):9614-23.
25. Wali WA, Al-Shamma’A AI, Hassan KH, Cullen JD. Online genetic-ANFIS temperature control for advanced microwave biodiesel reactor. J Process Control. 2012 Aug 1;22(7):1256-72.
26. Mahajan V, Agarwal P, Gupta HO. Power quality problems with renewable energy integration. In: Sanjeevikumar P, Sharmeela C, Holm-Nielsen JB, Sivaraman P, editors. Power quality in modern power systems, Academic Press; 2021 Jan 1. p. 105-31.
