Open Access
E3S Web Conf.
Volume 113, 2019
SUPEHR19 SUstainable PolyEnergy generation and HaRvesting Volume 1
Article Number 02008
Number of page(s) 8
Section Thermal and Electrical Hybrid Systems
Published online 21 August 2019
  1. Cuneo, A., Traverso, A., and Shahpar, S., 2017, “Comparative Analysis of Methodologies for Uncertainty Propagation and Quantification,” Proceedings of the ASME Turbo Expo, p. V02CT47A005. [Google Scholar]
  2. Ghanem, R., Owhadi, H., and Higdon, D., 2017, Handbook of Uncertainty Quantification. [CrossRef] [Google Scholar]
  3. Zhang, X., Chan, S. H., Li, G., Ho, H. K., Li, J., and Feng, Z., 2010, “A Review of Integration Strategies for Solid Oxide Fuel Cells,” J. Power Sources, 195(3), pp. 685–702. [Google Scholar]
  4. Damo, U.M., Ferrari, M.L., Turan, A., Massardo, A. F., 2015, “Test Rig for Hybrid System Emulation: New Real-Time Transient Model Validated in a Wide Operative Range,” Fuel Cells, 15, pp. 7–14. [CrossRef] [Google Scholar]
  5. Cuneo, A., Zaccaria, V., Tucker, D., and Sorce, A., 2018, “Gas Turbine Size Optimization in a Hybrid System Considering SOFC Degradation, ” Appl. Energy. [Google Scholar]
  6. Xuan, D., Li, Z., Kim, J., and Kim, Y., 2009, “Optimal Operating Points of PEM Fuel Cell Model with RSM, ” J. Mech. Sci. Technol. [Google Scholar]
  7. Boyaci San, F. G., Isik-Gulsac, I., and Okur, O., 2013, “Analysis of the Polymer Composite Bipolar Plate Properties on the Performance of PEMFC (Polymer Electrolyte Membrane Fuel Cells) by RSM (Response Surface Methodology), ” Energy. [Google Scholar]
  8. Kanani, H., Shams, M., Hasheminasab, M., and Bozorgnezhad, A., 2015, “Model Development and Optimization of Operating Conditions to Maximize PEMFC Performance by Response Surface Methodology, ” Energy Convers. Manag. [PubMed] [Google Scholar]
  9. Giugno, A., Cuneo, A., and Traverso, A., 2019, “Analysis of Uncertainties in Compact Plate-Fin Recuperators for Microturbines, ” Appl. Therm. Eng., 150(September 2018), pp. 1243–1251. [Google Scholar]
  10. Henke, M., Kallo, J., Friedrich, K. A., and Bessler, W. G., 2011, “Influence of Pressurisation on SOFC Performance and Durability: A Theoretical Study, ” Fuel Cells, pp. 581–591. [CrossRef] [Google Scholar]
  11. Cuneo, A., Mantelli, L., Giugno, A., and Traverso, A., 2019, “Uncertainty Quantification Analysis of a Pressurised Fuel Cell Hybrid System, ” Proceedings of ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition, Phoenix, pp. 1–15. [Google Scholar]
  12. Venkataraman, K., Wanat, E. C., and Schmidt, L. D., 2003, “Steam Reforming of Methane and Water-Gas Shift in Catalytic Wall Reactors, ” AIChE J., 49(5), pp. 1277–1284. [Google Scholar]
  13. STAXERA, SOFC Stack Mk200, Product Data Sheet. [Google Scholar]
  14. Gunst, R. F., Myers, R. H., and Montgomery, D. C., 2006, “Response Surface Methodology: Process and Product Optimization Using Designed Experiments, ” Technometrics. [Google Scholar]
  15. Cuneo, A., Zaccaria, V., Tucker, D., and Traverso, A., 2017, “Probabilistic Analysis of a Fuel Cell Degradation Model for Solid Oxide Fuel Cell and Gas Turbine Hybrid Systems, ” Energy, 141, pp. 2277–2287. [CrossRef] [Google Scholar]
  16. Arsalis, A., 2008, “Thermoeconomic Modeling and Parametric Study of Hybrid SOFC-Gas Turbine-Steam Turbine Power Plants Ranging from 1.5 to 10 MWe, ” J. Power Sources, 181 (2), pp. 313–326. [Google Scholar]
  17. Galanti, L., and Massardo, A. F., 2011, “Micro Gas Turbine Thermodynamic and Economic Analysis up to 500 KWe Size, ” Appl. Energy, 88 (12), pp. 4795–4802. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.