The development of fault diagnostics for fuel cell (FC) stacks and systems can increase their lifetime and therefore their overall efficiency. The development of such techniques often requires a reliable computational FC stack or system model. Given the complexity of such systems, endless time and effort has to be used to test the systems and identify the related models unless an adequate trade-off between available time and desired model accuracy is found. The Design of Experiment (DoE) methodology enables determining the best compromise between the number of experiments to conduct and the obtained information. In this work, the DoE approach is used to define a test plan that is carried out on a solid oxide fuel cell stack. The methodology is then further exploited to analyse the measured data and to determine the influence of the selected parameters (i.e. input variables) on the response extracted from the monitored variables. Specifically, a Full Factorial DoE analysis is performed and the relative results are compared. The results show which parameters have a direct effect and which affect indirectly, in coupling with other parameters, on the system response.
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ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability
July 23–26, 2012
San Diego, California, USA
Conference Sponsors:
- Advanced Energy Systems Division
- Solar Energy Division
ISBN:
978-0-7918-4482-3
PROCEEDINGS PAPER
Experimental Test Plan and Data Analysis Based on the Design of Experiment Methodology
Angelo Esposito,
Angelo Esposito
European Institute for Energy Research, Karlsruhe, Germany
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Philippe Mocoteguy,
Philippe Mocoteguy
European Institute for Energy Research, Karlsruhe, Germany
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Fabio Postiglione,
Fabio Postiglione
University of Salerno, Fisciano, SA, Italy
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Maurizio Guida,
Maurizio Guida
University of Salerno, Fisciano, SA, Italy
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Cesare Pianese,
Cesare Pianese
University of Salerno, Fisciano, SA, Italy
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Antti Pohjoranta,
Antti Pohjoranta
VTT Technical Research Centre of Finland, Espoo, Finland
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Kun Wang,
Kun Wang
University of Franche-Comté, Belfort, France
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Daniel Hissel,
Daniel Hissel
University of Franche-Comté, Belfort, France
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Marie Cécile Péra,
Marie Cécile Péra
University of Franche-Comté, Belfort, France
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Stefan Pofahl
Stefan Pofahl
HTceramix, Yverdon-les-Bains, Switzerland
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Angelo Esposito
European Institute for Energy Research, Karlsruhe, Germany
Philippe Mocoteguy
European Institute for Energy Research, Karlsruhe, Germany
Fabio Postiglione
University of Salerno, Fisciano, SA, Italy
Maurizio Guida
University of Salerno, Fisciano, SA, Italy
Cesare Pianese
University of Salerno, Fisciano, SA, Italy
Antti Pohjoranta
VTT Technical Research Centre of Finland, Espoo, Finland
Kun Wang
University of Franche-Comté, Belfort, France
Daniel Hissel
University of Franche-Comté, Belfort, France
Marie Cécile Péra
University of Franche-Comté, Belfort, France
Stefan Pofahl
HTceramix, Yverdon-les-Bains, Switzerland
Paper No:
FuelCell2012-91114, pp. 293-302; 10 pages
Published Online:
July 23, 2013
Citation
Esposito, A, Mocoteguy, P, Postiglione, F, Guida, M, Pianese, C, Pohjoranta, A, Wang, K, Hissel, D, Péra, MC, & Pofahl, S. "Experimental Test Plan and Data Analysis Based on the Design of Experiment Methodology." Proceedings of the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. San Diego, California, USA. July 23–26, 2012. pp. 293-302. ASME. https://doi.org/10.1115/FuelCell2012-91114
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