2D Analytical Model for Direct Ethanol Fuel Cell Performance Prediction
نویسندگان
چکیده
منابع مشابه
2D Analytical Model for Direct Ethanol Fuel Cell Performance Prediction
Analytical models provide useful information for researchers to study fuel cell function. In this paper, it’s aimed to present a 2D analytical model for direct ethanol fuel cell (DEFC) performance. The model included equations inside diffusion layer, catalyst layer, and Ethanol cross-over through membrane, which all have been solved. Analytical model has been validated by some experimental tria...
متن کاملPerformance of an alkaline-acid direct chloro ethanol fuel cell
This paper reports on the performance of an alkaline-acid direct chloro ethanol fuel cell (AA-DCLEFC) that is composed of an alkaline anode, a membrane and an acid cathode. The effects of membrane thickness and the concentration of various species at both the anode and cathode on the cell performances are investigated. It has been demonstrated that the peak power density of this AA-DCLEFC that ...
متن کاملPorous platinum nanowire arrays for direct ethanol fuel cell applications.
Porous Pt nanowire arrays show enhanced electrocatalytic activities for ethanol oxidation in direct alcohol fuel cells.
متن کاملFunctionalized and Electrospun Polymeric Materials as High-Performance Membranes for Direct Methanol Fuel Cell: A Review
Proton exchange membranes (PEM) for a direct methanol fuel cell (DMFC) have main drawbacks which are methanol permeability, reduced proton conductivity and the cost of the membrane. This paper reviews different polymeric materials such as fluorinated, non-fluorinated, acid-base complex, and composite membranes for DMFC. Currently, nonfluorinated membranes gain a lot of atte...
متن کاملImplementation of Adaptive Neuro-Fuzzy Inference System (Anfis) for Performance Prediction of Fuel Cell Parameters
Fuel cells are potential candidates for storing energy in many applications; however, their implementation is limited due to poor efficiency and high initial and operating costs. The purpose of this research is to find the most influential fuel cell parameters by applying the adaptive neuro-fuzzy inference system (ANFIS). The ANFIS method is implemented to select highly influential parame...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Smart Grid and Renewable Energy
سال: 2011
ISSN: 2151-481X,2151-4844
DOI: 10.4236/sgre.2011.24049