Optimization of modeling parameters of of a direct dimethyl ether fuel cell (DDMEFC)

Alpaydin G. U., ÇOLPAN C. Ö., DEVRİM Y.

4th International Conference on Smart and Sustainable Technologies (SpliTech), Hırvatistan, 18 - 21 Haziran 2019, ss.349-352 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.23919/splitech.2019.8783205
  • Basıldığı Ülke: Hırvatistan
  • Sayfa Sayıları: ss.349-352
  • Anahtar Kelimeler: dimethyl ether, fuel cell, optimization, Genetic algorithm, PERFORMANCE, LAYER
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Direct alcohol fuel cells are one of the suitable candidates for sustainable power generation in portable applications. Among the different alcohol types that can be used in these fuel cells, DME, which is almost non-toxic at room temperature and easy to liquefy, and has a molecular structure similar to methanol, is one of the suitable options. For this reason, many studies have been carried out to develop direct dimethyl ether fuel cell (DDMEFC). Mathematical modeling studies also play an important role in the development of DDMEFC since they enable the understanding of the performance of the fuel cells more thoroughly. In this study, a model has been developed by using the principles of conservation chemical species and electrochemistry. A modeling study was performed using MATLAB. The values of some modeling parameters were estimated using the genetic algorithm optimization technique.