Internal Model Control of Autothermal Reformer: Effect of Change in Reactant Amount

Article Preview

Abstract:

As the hydrogen-rich gas produced by autothermal reforming from ethanol is utilized for the power generation via fuel cell, the change in amount of ethanol and water fed into the autothermal reformer has significant effects on the control of electricity generation and autothermal reaction temperature. The change of water and ethanol amounts affecting on the autothermal reformer temperature control system was studied in this work. An internal model control (IMC) method was designed to control the adiabatic reaction temperature of autothermal reformer by manipulating the input air flow rate. Theoretical analysis demonstrated that IMC method can realize desired performance to control the autothermal reaction temperature when the feed amounts were changed. The results of autothemal reformer control system with and without the feed temperature controller of the preheater unit were compared to offer the suitable control system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

121-125

Citation:

Online since:

April 2016

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2016 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y. Hu, D.J. Chmielewski and D. Papadias: J. Power Sources Vol. 182 (2008), pp.298-306.

Google Scholar

[2] D. Ipsakis, S. Voutetakis, P. Seferlis, S. Papadopoulou and M. Stoukides: Proc. 17th Mediterranean Conference on Control & Automation, Thessaloniki, Greece (2009), pp.1421-1426.

DOI: 10.1109/med.2009.5164746

Google Scholar

[3] T. Takeguchi, S. -N. Furukawa, M. Inoue and K. Eguchi: Appl. Catal. A, Vol. 240 (2003), pp.223-233.

Google Scholar

[4] Y. Hu and D.J. Chmielewski: Proc. 2009 American Control Conference, USA (2009), pp.659-664.

Google Scholar

[5] J. Zheng, Q. Yang, J. Lu and Y. Sun: Advanced Materials and Research Vols. 418-420 (2012), pp.377-382.

Google Scholar

[6] X. Wang, J. Lu, H. Zhuang, J. Zheng, Q. Yang, J. Chen and Y. Sun: Proc. 10th IEEE International Conference on Control and Automation (ICCA), China (2013), pp.218-222.

Google Scholar

[7] J. Chen and J. Sun: Proc. 46th IEEE Conference on Decision and Control, LA, USA (2007), pp.4608-4613.

Google Scholar

[8] J. Chen and J. Sun: IEEE Transactions on Control Systems Technology Vol. 18 (2010), pp.779-788.

Google Scholar

[9] C. Wutthithanyawat and N. Srisiriwat: Applied Mechanics and Materials. Vols. 627 (2014), pp.236-240.

Google Scholar

[10] C. Wutthithanyawat and N. Srisiriwat: Applied Mechanics and Materials. Vols. 541-542 (2014), pp.108-112.

DOI: 10.4028/www.scientific.net/amm.541-542.108

Google Scholar

[11] M. Morari and E. Zafiriou: Robust process control, Prentice Hall (1989).

Google Scholar

[12] D.E. Seborg, T.F. Edgar and D.A. Mellichamp: Process dynamics and control, 2nd Ed., John Wiley & Sons, Inc. (2004).

Google Scholar