TY  - CONF
TI  - Optimization of Design Parameters for an Open-cathode Polymer Electrolyte Fuel Cells Stack Utilizing Taguchi Method
SP  - 2027
ID  - scholars6225
KW  - Cathodes; Computational fluid dynamics; Design; Electrodes; Electrolytes; Fans; Fluid dynamics; Forced convection; Fuel cells; Polyelectrolytes; Polymers; Proton exchange membrane fuel cells (PEMFC); Taguchi methods; Temperature control
KW  -  Characteristic curve; Forced-air convection; Fuel cell performance; Intersection points; Objective functions; Operating parameters; Polymer electrolyte fuel cells; System characteristics
KW  -  Solid electrolytes
N2  - The design of open-cathode polymer electrolyte fuel cells (PEFC) stacks with forced-convection requires a careful consideration on the geometrical and operating conditions as well as the characteristic of PEFC stacks and fan used. The operating point should be located at the intersection point between the fan and the stack characteristic curve. This paper evaluates the effect of key parameters and operating conditions on the system characteristic and stack performance of forced convection PEFC by utilizing computational fluid dynamic approach and Taguchi statistical method. A validated three dimensional open-cathode PEFC stack model with fan and immediate ambient were employed together with an L27 orthogonal array (OA) of Taguchi matrix of six factors and three level designs to determine the optimum combination of parameters as well as their interactions. The result indicates that fuel cell length plays important role on determining the fuel cell performance in term of current density and net power. Optimum combination of design and operating parameters were obtained with the objective function of maximizing net power generated by stack by taking into account the parasitic loads. © 2015 Published by Elsevier Ltd.
N1  - cited By 4; Conference of 7th International Conference on Applied Energy, ICAE 2015 ; Conference Date: 28 March 2015 Through 31 March 2015; Conference Code:114863
AV  - none
EP  - 2032
VL  - 75
A1  - Sasmito, A.P.
A1  - Kurnia, J.C.
A1  - Shamim, T.
A1  - Mujumdar, A.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947094002&doi=10.1016%2fj.egypro.2015.07.267&partnerID=40&md5=050064762f4d58b89f85a274da9f6573
PB  - Elsevier Ltd
SN  - 18766102
Y1  - 2015///
ER  -