Araştırma Makalesi

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

Cilt: 5 Sayı: 2 20 Ekim 2018
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Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink

Öz

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.

Anahtar Kelimeler

Kaynakça

  1. [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.
  2. [3] Giwa, A.,2013, “Decoupling Neural Network Model Predictive Control: Algorithm Development and Application to Reactive Distillation Process”, Lambert Academic Publishing, Germany.
  3. [4 Seborg, ] D.E., Edgar, T.F., and Mellichamp, D.A., 2004, “Process Dynamics and Control”, 2nd Edition, Wiley, New Jersey.
  4. [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.
  5. [7] Garcia, C.E., Prett, D.M. and Morari, M., 1989, “Model predictive control: theory and practice – A Survey”, Automatica, 25, 335-348.
  6. [8] Yamamoto, S.and Hashimoto, I., 1991, “Present Status and Future Needs: TheView from Japanese Industry”, in Proceedings of CPC IV, 1-27.
  7. [9] Körbitz, W., 1999, “Biodiesel production in Europe and North American, an encouraging prospect”, Renew. Energy, l, 1078–1083.
  8. [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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Kimya Mühendisliği

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

20 Ekim 2018

Gönderilme Tarihi

28 Haziran 2018

Kabul Tarihi

15 Ekim 2018

Yayımlandığı Sayı

Yıl 2018 Cilt: 5 Sayı: 2

Kaynak Göster

APA
Karacan, S. (2018). Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies, 5(2), 107-114. https://doi.org/10.31593/ijeat.437998
AMA
1.Karacan S. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies. 2018;5(2):107-114. doi:10.31593/ijeat.437998
Chicago
Karacan, Suleyman. 2018. “Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink”. International Journal of Energy Applications and Technologies 5 (2): 107-14. https://doi.org/10.31593/ijeat.437998.
EndNote
Karacan S (01 Ekim 2018) Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies 5 2 107–114.
IEEE
[1]S. Karacan, “Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink”, International Journal of Energy Applications and Technologies, c. 5, sy 2, ss. 107–114, Eki. 2018, doi: 10.31593/ijeat.437998.
ISNAD
Karacan, Suleyman. “Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink”. International Journal of Energy Applications and Technologies 5/2 (01 Ekim 2018): 107-114. https://doi.org/10.31593/ijeat.437998.
JAMA
1.Karacan S. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies. 2018;5:107–114.
MLA
Karacan, Suleyman. “Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink”. International Journal of Energy Applications and Technologies, c. 5, sy 2, Ekim 2018, ss. 107-14, doi:10.31593/ijeat.437998.
Vancouver
1.Suleyman Karacan. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. International Journal of Energy Applications and Technologies. 01 Ekim 2018;5(2):107-14. doi:10.31593/ijeat.437998

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