Abstract
The experimental analysis of large systems in operation is a complex task, due to the large number of variables which affect their operation, the limited number of measurements points, and the necessity to avoid malfunctions in the real operation. To make a good use of the collected experimental data, and to reduce the efforts of the test session, the experimental analysis of large systems can be effectively developed with the methods of Design of Experiments (DoE), and with a statistical analysis of the collected data. The design of experiments approach allows one to study the main effect of the factors and also their interaction effect. The approach also allows obtaining analytical relations which express the dependent variables as a function of the examined control factors through first (simple factorial) or second-order (e.g. spherical CCD) regression models. The results can be analysed in terms of sensitivity analysis and response surface analysis. Finally, optimization procedures can be applied to the regression models in order to get the best behaviour of the system analysed. The utilization of the DoE methods has been particular useful in experimental approach to large solid oxide fuel cells (SOFC) plants. As a real example, the experimental analysis of the CHP-100 SOFC Field Unit has been developed with the methods of Design of Experiments, and with a statistical analysis of the collected data.
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© 2017 CISM International Centre for Mechanical Sciences
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Ferrero, D., Lanzini, A., Leone, P., Santarelli, M. (2017). DOE Methodologies for Analysis of Large SOFC Systems. In: Boaro, M., Salvatore, A. (eds) Advances in Medium and High Temperature Solid Oxide Fuel Cell Technology. CISM International Centre for Mechanical Sciences, vol 574. Springer, Cham. https://doi.org/10.1007/978-3-319-46146-5_7
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DOI: https://doi.org/10.1007/978-3-319-46146-5_7
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