Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2018, , 107 - 114, 20.10.2018
https://doi.org/10.31593/ijeat.437998

Öz

Kaynakça

  • [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, 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 irradiation”, Fuel Process.Technol., 140, 125–131.
  • [16] Prasertsit, K., Mueanmas, C., and Tongurai, C., 2013, “Transesterification of palm oil with methanol in a reactive distillation column”, Chemical Engineering and Processing: Process Intensification,70, 21– 26.
  • [17] Agarwal, M., Soni,, S., Singh, K., Chaurasiaand, S. P., and Dohare, R. K., 2013, “ Biodiesel yield assessment in continuous- flow reactors using batch reactor conditions”, International Journal of Green Energy, 10, 28–40.
  • [18] Niju, S., Meera Sheriffa Begum K. M., & Anantharaman, N., 2016, “Clam shell catalyst for continuous production of Biodiesel”, International Journal of Green Energy, 13, 1314-1319.
  • [19] Oguz, H. and Celik Tolu, M., 2018, “A Review: Optimisation Analysis of Biodiesel Production from Vegetable Oil by Using Biobased CaO as Catalyst”, 7th International Conference on Advanced Technologies (ICAT’18), April 28- May 1 2018, vol 1, 851-855, Antalya Turkey.
  • [20] A. Buasri, N. Chaiyut, V. Loryuenyong, C. Wongweang, S. Khamsrisuk, 2013, “Application of eggshell wastes as a heterogeneous catalyst for biodiesel production,” Sust Energy, 1, 7-13.
  • [21] Ma, F., Hanna, M.A., 1999, “Biodiesel production: a review”, Bioresour Technol , 70, 1–15.
  • [22] MathWorks MATLAB, The Language of Technical Computing, The MathWorks, Inc., Natick, 2015.

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

Yıl 2018, , 107 - 114, 20.10.2018
https://doi.org/10.31593/ijeat.437998

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.

Kaynakça

  • [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, 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 irradiation”, Fuel Process.Technol., 140, 125–131.
  • [16] Prasertsit, K., Mueanmas, C., and Tongurai, C., 2013, “Transesterification of palm oil with methanol in a reactive distillation column”, Chemical Engineering and Processing: Process Intensification,70, 21– 26.
  • [17] Agarwal, M., Soni,, S., Singh, K., Chaurasiaand, S. P., and Dohare, R. K., 2013, “ Biodiesel yield assessment in continuous- flow reactors using batch reactor conditions”, International Journal of Green Energy, 10, 28–40.
  • [18] Niju, S., Meera Sheriffa Begum K. M., & Anantharaman, N., 2016, “Clam shell catalyst for continuous production of Biodiesel”, International Journal of Green Energy, 13, 1314-1319.
  • [19] Oguz, H. and Celik Tolu, M., 2018, “A Review: Optimisation Analysis of Biodiesel Production from Vegetable Oil by Using Biobased CaO as Catalyst”, 7th International Conference on Advanced Technologies (ICAT’18), April 28- May 1 2018, vol 1, 851-855, Antalya Turkey.
  • [20] A. Buasri, N. Chaiyut, V. Loryuenyong, C. Wongweang, S. Khamsrisuk, 2013, “Application of eggshell wastes as a heterogeneous catalyst for biodiesel production,” Sust Energy, 1, 7-13.
  • [21] Ma, F., Hanna, M.A., 1999, “Biodiesel production: a review”, Bioresour Technol , 70, 1–15.
  • [22] MathWorks MATLAB, The Language of Technical Computing, The MathWorks, Inc., Natick, 2015.
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Kimya Mühendisliği
Bölüm Research Article
Yazarlar

Suleyman Karacan

Yayımlanma Tarihi 20 Ekim 2018
Gönderilme Tarihi 28 Haziran 2018
Kabul Tarihi 15 Ekim 2018
Yayımlandığı Sayı Yıl 2018

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 Karacan S. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. IJEAT. Ekim 2018;5(2):107-114. doi:10.31593/ijeat.437998
Chicago Karacan, Suleyman. “Biodiesel Production Using Reactive Distillation Column: Real Time Model Predictive Control in Matlab Simulink”. International Journal of Energy Applications and Technologies 5, sy. 2 (Ekim 2018): 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 S. Karacan, “Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink”, IJEAT, c. 5, sy. 2, ss. 107–114, 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 (Ekim 2018), 107-114. https://doi.org/10.31593/ijeat.437998.
JAMA Karacan S. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. IJEAT. 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, 2018, ss. 107-14, doi:10.31593/ijeat.437998.
Vancouver Karacan S. Biodiesel production using reactive distillation column: Real time model predictive control in Matlab Simulink. IJEAT. 2018;5(2):107-14.