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RULE-BASED MAMDANI-TYPE FUZZY MODELING OF PERFORMANCE PROTON EXCHANGE MEMBRANE FUEL CELL WITH CARBON NANO TUBE

Res. Asst. Sadik Ata

First published: 2015https://doi.org/10.5593/sgem2015/b41/s17.063View metrics

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Publication details

Title
RULE-BASED MAMDANI-TYPE FUZZY MODELING OF PERFORMANCE PROTON EXCHANGE MEMBRANE FUEL CELL WITH CARBON NANO TUBE
Authors
Res. Asst. Sadik Ata
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, ENERGY AND CLEAN TECHNOLOGIES
Publisher
Stef92 Technology
Year
2015
Pages
487-494
ISSN
1314-2704
ISBN
978-619-7105-38-4
Language
en
Publication type
Conference Paper
References24
  1. Bayrakçeken, A., Platinum and Platinum-Ruthenium Based Catalysts on Various Carbon Supports Prepared By Different Methods For PEM Fuel Cell Applications, Doctoral Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2008.

  2. Erdener, H., Development of Organic-Inorganic Composite Membranes For Fuel Cell Applications, Master Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2007.

  3. Karvonen, S., Modelling approaches to mass transfer and compression effects in polymer electrolyte fuel cells, Doctoral Thesis, Aalto University School of Science, 2011.

  4. Özsan, B.,Effect of Relative Humidity of Reactant Gases on Proton Exchange Membrane Fuel Cell Performance, Master Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2012.

  5. Khan, A., Ahmed, R., Mirza,M., Performance evaluation of platinum-based catalysts for the development of proton exchange membrane fuel cells, Turkish Journal of Chemistry, 2009.

  6. Mammar, K.,Chaker A., Fuzzy logic -based control of power of PEM fuel cell system for residential application, Leonardo Journal of Sciences, ISSN 1583- 0233, 2009.

  7. Fan, L.,Liu, Y., Fuzzy Logic Based Constant Power Control of a Proton Exchange Membrane Fuel Cell, Shenyang University of Chemical Technology, ISSN 0033-2097, 2012.

  8. Gao, D.,Jin, Z.,Lu, Q., Energy management strategy based on fuzzy logic for a fuel cell hybrid bus, Journal of Power Sources 185 pp. 311-317, 2008.

  9. Yılmaz, A.,Ayan, K., (2013) Cancer risk analysis by fuzzy logic approach and performance status of the model. Turkish Journal of Electrical Engineering & Computer Sciences, TÜBİTAK, doi:10.3906.

  10. Tosun, M.,Dincer,K.,Baskaya, S.,Rule based Mamdani-type fuzzy modelling of thermal performance of wall types most used in residential buildings in Turkey, 10th International Multidisciplinary ScientificGeoconference SGEM 2010, Jun -26, 2010 Albena, Bulgaria.

  11. Dincer, K.,Taşdemir, Ş.,Başkaya, Ş.,Uysal, B.Z., Karşıt akışlı Ranque -Hilsch vorteks tüpün performansına tapa açısı etkisinin bulanık mantık Yöntemi ile modellenmesi. ULIBTK’07 16. Ulusal Isı Bilimi ve Tekniği Kongresi, 2007, Kayseri.

  12. Berber, A., Dincer, K., Yılmaz, Y., Ozen, D.N., Rule-based Mamdani-type fuzzy modeling of heating and cooling performances of counter-flow Ranque Hilsch vortex tubes with different geometric construction for steel. Energy, 297-304, 3. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  13. Bayrakçeken, A., Platinum and Platinum-Ruthenium Based Catalysts on Various Carbon Supports Prepared By Different Methods For PEM Fuel Cell Applications, Doctoral Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2008.

  14. Erdener, H., Development of Organic-Inorganic Composite Membranes For Fuel Cell Applications, Master Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2007.

  15. Karvonen, S., Modelling approaches to mass transfer and compression effects in polymer electrolyte fuel cells, Doctoral Thesis, Aalto University School of Science, 2011.

  16. Özsan, B.,Effect of Relative Humidity of Reactant Gases on Proton Exchange Membrane Fuel Cell Performance, Master Thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, 2012.

  17. Khan, A., Ahmed, R., Mirza,M., Performance evaluation of platinum-based catalysts for the development of proton exchange membrane fuel cells, Turkish Journal of Chemistry, 2009.

  18. Mammar, K.,Chaker A., Fuzzy logic -based control of power of PEM fuel cell system for residential application, Leonardo Journal of Sciences, ISSN 1583- 0233, 2009.

  19. Fan, L.,Liu, Y., Fuzzy Logic Based Constant Power Control of a Proton Exchange Membrane Fuel Cell, Shenyang University of Chemical Technology, ISSN 0033-2097, 2012.

  20. Gao, D.,Jin, Z.,Lu, Q., Energy management strategy based on fuzzy logic for a fuel cell hybrid bus, Journal of Power Sources 185 pp. 311-317, 2008.

  21. Yılmaz, A.,Ayan, K., (2013) Cancer risk analysis by fuzzy logic approach and performance status of the model. Turkish Journal of Electrical Engineering & Computer Sciences, TÜBİTAK, doi:10.3906.

  22. Tosun, M.,Dincer,K.,Baskaya, S.,Rule based Mamdani-type fuzzy modelling of thermal performance of wall types most used in residential buildings in Turkey, 10th International Multidisciplinary ScientificGeoconference SGEM 2010, Jun -26, 2010 Albena, Bulgaria.

  23. Dincer, K.,Taşdemir, Ş.,Başkaya, Ş.,Uysal, B.Z., Karşıt akışlı Ranque -Hilsch vorteks tüpün performansına tapa açısı etkisinin bulanık mantık Yöntemi ile modellenmesi. ULIBTK’07 16. Ulusal Isı Bilimi ve Tekniği Kongresi, 2007, Kayseri.

  24. Berber, A., Dincer, K., Yılmaz, Y., Ozen, D.N., Rule-based Mamdani-type fuzzy modeling of heating and cooling performances of counter-flow Ranque Hilsch vortex tubes with different geometric construction for steel. Energy, 297-304, 3. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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