Data driven models for a PEM fuel cell stack performance prediction

International Journal of Hydrogen Energy

Volumn 38, Issue 26, 2013, Pages 11628-11638

  Napoli, G ^a   Ferraro, M ^a   Sergi, F ^a   Brunaccini, G ^a   Antonucci, V ^a  

^a CNR ITAE   (Italy)

Author keywords

Data driven model; Neural network; Proton exchange membrane fuel cell; Stacking approaches

Indexed keywords

CATHODE TEMPERATURE; CLASSICAL NEURAL NETWORKS; DATA-DRIVEN MODEL; OPERATING PRINCIPLES; PEM FUEL CELL STACK; POLYMER ELECTROLYTE MEMBRANES; STACKING APPROACHES; STOICHIOMETRIC RATIO;

ELECTROLYTIC ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; THERMODYNAMICS;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84882452496     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2013.04.135     Document Type: Conference Paper

References (46)

1. H.L. Willis, and W.G. Scott Distributed power generation 2000 Marcel Dekker New York
2. N. Briguglio, L. Andaloro, M. Ferraro, A. Di Blasi, G. Dispenza, and F. Matteucci Renewable energy for hydrogen production and sustainable urban mobility International Journal of Hydrogen Energy 35 18 2010 9996 10003
3. N. Briguglio, M. Ferraro, L. Andaloro, and V. Antonucci New simulation tool helping a feasibility study for renewable hydrogen bus fleet in Messina International Journal of Hydrogen Energy 33 12 2008 3077 3084
4. D. Ramirez, L.F. Beites, F. Blazquez, and J.C. Ballesteros Distributed generation system with PEM fuel cell for electrical power quality improvement International Journal of Hydrogen Energy 33 2008 4433 4443
5. J.G. De Melo Furtado, G.C. Gatti, E.T. Serra, and S.C. Anibal de Almeida Performance analysis of a 5 kW PEMFC with a natural gas reformer Int J Hydrogen Energy 35 18 2010 9990 9995
6. A.T. Stamps, and E.P. Gatzke Dynamic modeling of a methanol reformer - PEMFC stack system for analysis and design Journal of Power Sources 161 1 2006 356 370
7. A. Rowe, and X. Li Mathematical modelling of proton exchange membrane fuel cells Journal of Power Sources 102 2001 82 88
8. BIyIkoglu Atilla Review of proton exchange membrane fuel cell models International Journal of Hydrogen Energy 30 2005 1181 1212
9. D.M. Bernardi, and M.W. Verbrugge A mathematical model of a gas diffusion electrode bonded to a polymer electrolyte AIChE 37 1991 1151 1162
10. T.E. Springer, T.A. Zawodinski, and S. Gottesfeld Polymer electrolyte fuel cell model Journal of the Electrochemical Society 138 1991 2334
11. S. Um, C.Y. Wang, and K.S. Chen Computational fluid modeling of proton exchange membrane fuel cells Journal of the Electrochemical Society 147 12 2000
12. L. Fortuna, S. Graziani, A. Rizzo, and M.G. Xibilia Soft sensors for monitoring and control of industrial processes, series advances in industrial control 2007 Springer-Verlag, London Ltd.
13. J. Liu On line soft sensor for polyethylene process with multiple production grades 16th IFAC world congress, Prague 2005
14. A. Di Bella, S. Graziani, G. Napoli, and M.G. Xibilia A comparative analysis of the influence of methods for outliers detection on the performance of data driven models Instrumentation and measurement technology conference proceedings, IMTC 07, IEEE. Warsaw, 1-3 Maggio 07 2007 1 5
15. M. Borairi, and H. Wang Actuator and sensor fault diagnosis of nonlinear dynamic systems via genetic neural networks and adaptive parameter estimation techniques Proceedings of the IEEE International Conference on Control Applications 1 1998 278 282
16. P.M. Frank Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results Automatica 26 3 1990 459 474
17. L. Fortuna, S. Graziani, G. Napoli, and M.G. Xibilia Virtual instruments for the what-if analysis of a process for pollution minimization in an industrial application Proc. of the 14-th Mediterranean conf. on control and automation, MED 06, Ancona 2006
18. S. Chen, S.A. Billings, and P.M. Grant Non linear systems identification using neural networks International Journal of Control 51 6 1990 1191 1214 Elsevier
19. K.S. Narendra, and K. Parthasarathy Identification and control of dynamical systems using neural networks IEEE Transactions on Neural Networks 1 1990 4 27
20. S. Haykin Neural networks: a comprehensive foundation 2nd ed. 1999 Prentice Hall
21. Z. Ahmad, and J. Zhang A comparison of different methods for combining multiple neural networks models Proceedings of the 2002 international joint conference on neural networks 2002 828 833
22. L. Fortuna, S. Graziani, G. Napoli, and M.G. Xibilia Stacking approaches for the design of a soft sensor for a Sulfur Recovery Unit Proceedings of the IECON'06 Paris, France, 6-9 November 2006 229 234
23. S. Hashem Optimal linear combinations of neural networks Neural Networks 10 4 1997 599 614
24. A.U. Chàvez-Ramìrez, R. Munoz-Guerrero, S.M. Duròn-Torres, M. Ferraro, G. Brunaccini, and F. Sergi High power fuel cell simulator based on artificial neural network International Journal of Hydrogen Energy 35 2010 12125 12133
25. S. Jemie, D. Hissel, M.C. Pera, and J.M. Kauffman On-board fuel cell power supply modeling on the basis of NN methodology Journal of Power Sources 124 2003 479 486
26. M.Y. El-Sharkh, A. Rahman, and M.S. Alam Neural networks based control of active and reactive power of stand alone PEM fuel cell power plant Journal of Power Sources 135 2004 88 94
27. Bao Cheng, Ouyang Minggao, and Yi Baolian Modeling and control of air stream and hydrogen flow with recirculation in a PEM fuel cell system dII. Linear and adaptive nonlinear control International Journal of Hydrogen Energy 31 2006 1897 1913
28. S. Ou, and L.E.K. Achenie A hybrid neural network model for PEM fuel cells Journal of Power Sources 2004
29. A. Saengrung, A. Abtahi, and A. Zilouchian Neural network model for a commercial PEM fuel cell system Journal of Power Sources 172 2007 749 759
30. S.O.T. Ogaji, R. Singh, P. Pilidis, and M. diacakis Modeling fuel cell using artificial intelligence Journal of Power Sources 154 2006 192 197
31. A.S. Arico', V. Baglio, A. Di Blasi, P. Creti', P.L. Antonucci, and V. Antonucci Influence of the acid-base characteristics of inorganic fillers on the high temperature performance of composite membranes in direct methanol fuel cells Solid State Ionics 161 2003 251 265
32. S. Siracusano, A. Stassi, V. Baglio, A.S. Aricò, F. Capitanio, and A.C. Tavares Investigation of carbon-supported Pt and PtCo catalysts for oxygen reduction in direct methanol fuel cells Electrochimica Acta 54 2009 4844 4850
33. A.S. Aricò, A. Di Blasi, G. Brunaccini, F. Sergi, G. Dispenza, and L. Andaloro High temperature operation of a solid polymer electrolyte fuel cell stack based on a new ionomer membrane Fuel Cells 10 6 December 2010 1013 1023
34. D. Paclisan, and W. Charon Real time modelling of the dynamic mechanical behaviour of PEMFC thanks to neural networks Engineering Applications of Artificial Intelligence 26 2013 706 713
35. M. Hattia, and M. Tioursib Dynamic neural network controller model of PEM fuel cell system International Journal of Hydrogen Energy 2009 5015 5021
36. J. Lobato, P. Canizares, M.A. Rodrigo, C.P. Piuleac, S. Curteanu, and J.J. Linares Direct and inverse neural networks modelling applied to study the influence of the gas diffusion layer properties on PBI-based PEM fuel cells International Journal of Hydrogen Energy 2009 5015 5021
37. C. Damoura, D. Grondina, M. Bennea, B. Grondin-Pereza, J. Deseureb, and J.P. Chabriata Innovative model-based control approach of a proton exchange membrane fuel cell system Journal of Power Sources 154 2006 192 197
38. J.V. Kresta, T.E. Marlin, and J.F. MacGregor Development of inferential process models using PLS Computers and Chemical Engineering 18 1994 597 611
39. M.J. Piovoso, and K.A. Kosanovich The use of multivariate statistics in process control The Control Handbook 33 1996 561 573
40. P. Geladi, and B. Kowalski Partial least-squares regression: a tutorial Analytica Chimica Acta 185 1986 1 17
41. J.V. Kresta, and J.F. Macgregor Multivariate statistical monitoring of process operating performance The Canadian Journal of Chemical Engineering 69 1991 35 47
42. W.S. Levine The control handbook 1996 CRC Press - IEEE Press Boca Raton, FL, USA 562 565
43. D. Flynn, J. Ritchie, and M. Cregan Data mining techniques applied to power plant performance monitoring 16th IFAC world congress, Prague 2005
44. H. Zhang, Z. Zouaoui, and B. Lennox A comparative study of soft-sensing methods for fed-batch fermentation processes 16th IFAC world congress, Prague 2005
45. H. Wold Path models with latent variables: the NIPALS approach H.M. Blalock, A. Aganbegian, F.M. Borodkin, R. Boudon, V. Capecchi, Quantitative sociology: international perspectives on mathematical and statistical model building 1975 Academic Press 307 357
46. R. Rosipal, and N. Krämer Overview and recent advances in partial least squares, Subspace, latent structure and feature selection Lecture Notes in Computer Science 3940 2006 34 51