Journals / International Journal of Energy Applications and Technologies / 2018 / Cilt: 5 - Sayı: 2

Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink

Pages
107–114
Publication Date
2018-10-20
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Model Predictive Control (MPC) was carried out and control results was satisfactorily obtained.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Biodiesel is a renewable fuel source that consist of alkyl esters obtained from vegetable oil and animal fats.
📊
Key Findings & Data:Reactive distillation is integrated operations that conveniently combine reaction and separation into a single unit.
💡
Conclusion & Impact:Model Predictive Control (MPC) was carried out and control results was satisfactorily obtained.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Reactive distillation · biodiesel · simulation

Abstract

Biodiesel is a renewable fuel source that consist of alkyl esters obtained from vegetable oil and animal fats. Biodiesel is typically produced via transesterification, which is the reaction of vegetable oils with a short-chain alcohol to produce alkyl esters and glycerol by using an appropriate catalyst. Reactive distillation is integrated operations that conveniently combine reaction and separation into a single unit. It is an effective alternative to the traditional combination of reactor and separation units especially when involving in reversible reactions, such as vegetable oil transesterification, or consecutive chemical reactions. Biodiesel production process by reactive distillation is a high degree nonlinear structure and multi-input and multi-output system. Because of this state, reactive distillation systems should be controlled. In this study, reboiler heat duty used as a manipulated variable to control the temperature of the bottom product. Model Predictive Control (MPC) was carried out and control results was satisfactorily obtained.

🔖

Cite This Article

KARACAN, S. (2018). Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies, Cilt: 5 - Sayı: 2, 107–114. https://ajindex.com/articles/832761

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (2)

  1. Giwa, A.,.and Giwa, S.O., 2016, “Modelling and simulation of a reactive distillation process for fuel additive production”, Journal of Environmental Science, Computer Science and Engineering & Technology, Section C: Engineering & Technology, 5, 63-74, [2] Giwa, A. and Karacan, S., 2012, “Development of dynamic models for a reactive packed distillation column”, International Journal of Engineering, 6, 118-128. [3] Giwa, A.,2013, “Decoupling Neural Network Model Predictive Control: Algorithm Development and Application to Reactive Distillation Process”, Lambert Academic Publishing, Germany. [4 Seborg, ] D.E., Edgar, T.F., and Mellichamp, D.A., 2004, “Process Dynamics and Control”, 2nd Edition,
  2. Wiley, New Jersey. [5] Bequette, B.W., 2003, “ Process Control: Modeling, Design, and Simulation”, Prentice Hall, New Jersey. [6] Ogunnaike, B.A. and Ray, W.H., 1994, “ Process Dynamics, Modeling, and Control”, Oxford University Press, New York. [7] Garcia, C.E., Prett, D.M. and Morari, M., 1989, “Model predictive control: theory and practice – A Survey”, Automatica, 25, 335-348. [8] Yamamoto, S.and Hashimoto, I., 1991, “Present Status and Future Needs: TheView from Japanese Industry”, in Proceedings of CPC IV, 1-27. [9] Körbitz, W., 1999, “Biodiesel production in Europe and North American, an encouraging prospect”, Renew. Energy, l, 1078–1083. [10] Agarwal, A.K., Das, L.M., 2001, “Biodiesel development and characterization for use as a fuel in compression ignition Engines”, J. Eng. Gas Turbines Power, 123, 440–447. [11] Dorado, M.P., Ballesteros, E., Lopez, F.J., Mittelbach, M.,2004, “ Optimization of alkali-catalyzed transesterification of brassica carinata oil for biodiesel production”, Energy Fuels, 18, 77–83. [12] Hak, J.K., Bo, S. K., Min, J.K., Young, M.P., “Transesterification of vegetable oil to biodiesel using heterogeneous base Catalysts”, Catal Today, 93, 315–320. [13] Kawashima, A., Matsubara, K., Honda, K,.2009, “Acceleration of catalytic activity of calcium oxide for biodiesel production”, Bioresour. Technol, 100, 696–700. [14] Galvan Mucino, G., Romero, R., Ramirez, A., Martinez, S.L., Baeza-J imenez, R., Natividad, R.2014, “Biodiesel production from used cooking oil and sea sand as heterogeneous catalyst”, Fuel, 138, 143–148. [15] Furusawa, T., Watanabe, M., Kadota, R., Matsumoto, T., Sato, M., Suzuki, N., 2015, “ Methanolysis of rapeseed oil to fatty acid methyl esters using microencapsulated CaO and TiO2-supported chromium oxide under light irra