Experimental test plan and data analysis based on the design of experiment methodology

A. Esposito, P. Mocoteguy, F. Postiglione, M. Guida, C. Pianese, Antti Pohjoranta, K. Wang, D. Hissel, M.C. Pera, S. Pofahl

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publicationASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability
PublisherAmerican Society of Mechanical Engineers ASME
Pages293-302
ISBN (Print)978-0-7918-4482-3
DOIs
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
EventASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology - San Diego, California, United States
Duration: 23 Jul 201226 Jul 2012

Conference

ConferenceASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology
Abbreviated titleASME 2012
CountryUnited States
CitySan Diego, California
Period23/07/1226/07/12

Fingerprint

Design of experiments
Fuel cells
Solid oxide fuel cells (SOFC)
Experiments

Keywords

  • SOFC
  • DoE

Cite this

Esposito, A., Mocoteguy, P., Postiglione, F., Guida, M., Pianese, C., Pohjoranta, A., ... Pofahl, S. (2012). Experimental test plan and data analysis based on the design of experiment methodology. In ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability (pp. 293-302). American Society of Mechanical Engineers ASME. https://doi.org/10.1115/FuelCell2012-91114
Esposito, A. ; Mocoteguy, P. ; Postiglione, F. ; Guida, M. ; Pianese, C. ; Pohjoranta, Antti ; Wang, K. ; Hissel, D. ; Pera, M.C. ; Pofahl, S. / Experimental test plan and data analysis based on the design of experiment methodology. ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers ASME, 2012. pp. 293-302
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abstract = "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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year = "2012",
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Esposito, A, Mocoteguy, P, Postiglione, F, Guida, M, Pianese, C, Pohjoranta, A, Wang, K, Hissel, D, Pera, MC & Pofahl, S 2012, Experimental test plan and data analysis based on the design of experiment methodology. in ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers ASME, pp. 293-302, ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology, San Diego, California, United States, 23/07/12. https://doi.org/10.1115/FuelCell2012-91114

Experimental test plan and data analysis based on the design of experiment methodology. / Esposito, A.; Mocoteguy, P.; Postiglione, F.; Guida, M.; Pianese, C.; Pohjoranta, Antti; Wang, K.; Hissel, D.; Pera, M.C.; Pofahl, S.

ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers ASME, 2012. p. 293-302.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Experimental test plan and data analysis based on the design of experiment methodology

AU - Esposito, A.

AU - Mocoteguy, P.

AU - Postiglione, F.

AU - Guida, M.

AU - Pianese, C.

AU - Pohjoranta, Antti

AU - Wang, K.

AU - Hissel, D.

AU - Pera, M.C.

AU - Pofahl, S.

N1 - Project code: 35002

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - SOFC

KW - DoE

U2 - 10.1115/FuelCell2012-91114

DO - 10.1115/FuelCell2012-91114

M3 - Conference article in proceedings

SN - 978-0-7918-4482-3

SP - 293

EP - 302

BT - ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability

PB - American Society of Mechanical Engineers ASME

ER -

Esposito A, Mocoteguy P, Postiglione F, Guida M, Pianese C, Pohjoranta A et al. Experimental test plan and data analysis based on the design of experiment methodology. In ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2012 6th International Conference on Energy Sustainability. American Society of Mechanical Engineers ASME. 2012. p. 293-302 https://doi.org/10.1115/FuelCell2012-91114