scholarly journals Comparison of experimental data obtained using the reference and the single-serpentine proton exchange membrane single fuel cell testing hardware

Data in Brief ◽  
2020 ◽  
Vol 31 ◽  
pp. 105945 ◽  
Author(s):  
Tomasz Bednarek ◽  
Georgios Tsotridis
Keyword(s):  
Experimental Data ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Cell Testing ◽  
Exchange Membrane

Modeling of the Effects of Cyclic Voltammetry (CV) Using Fuzzy Logic with Different Membership Functions for Proton Exchange Membrane Fuel Cell (PEM) with Polyvinyl Alcohol/Nano Silver (PVA/Ag)

2017 ◽  
Vol 16 ◽  
pp. 67-72
Author(s):  
Ali Serhat Ersoyoglu ◽  
Sadik Ata ◽  
Kevser Dincer ◽  
Gürol Önal ◽  
Yusuf Yilmaz
Keyword(s):  
Experimental Data ◽  
Cyclic Voltammetry ◽  
Fuel Cell ◽  
Fuzzy Set ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Membership Functions ◽  
Inference System ◽  
Significant Difference ◽  
Exchange Membrane

In this study, the effects of cyclic voltammetry (CV) has been modeled with Rule-based mamdani-type fuzzy (RBMTF), by using experimental data for proton exchange membrane fuel cell with PVA/AG. In the system developed, RBMTF apply input parameters are CV, scan rate and time, output parameters are current density and voltage. 12300 values for experimental study also obtained with RBMTF. Membership functions (MFs) are the building blocks of fuzzy set theory, i.e., fuzziness in a fuzzy set is determined by its MF. Accordingly, the shapes of MFs are important for a particular problem since they effect on a fuzzy inference system. They may have different shapes like triangular, trapezoidal, Gaussian, etc. When the results obtained from RBMTF and statistical analyses of experimental data have been compared, it has been determined that the two groups of data are coherent, and that there is not a significant difference between them. As a result, this study indicates that RBMTF with different membership functions can be safely used for CV.

A Parametric Study of PEM Fuel Cell Performances

2002 ◽  
Author(s):  
Lin Wang ◽  
Attila Husar ◽  
Tianhong Zhou ◽  
Hongtan Liu
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Fuel Cells ◽  
Fuel Cell ◽  
Parametric Study ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Proton Exchange ◽  
Polarization Curves ◽  
Exchange Membrane

The effects of different parameters on the performances of proton exchange membrane fuel cells were studied experimentally. Experiments with different fuel cell temperatures, humidification temperatures and backpressures of reactant gases have been carried out. Polarization curves from experimental data are presented and the effects of the parameters on the performance of the PEM fuel cell are discussed. The experimental data obtained in this work are used to validate our 3-D mathematical model. It is found that modeling results agree well with our experimental data.

Validation and Calibration of a Proton Exchange Membrane Fuel Cell Model Against Dynamic Partial Pressure Data

2010 ◽  
Author(s):  
Arnab Roy ◽  
Ugur Pasaogullari ◽  
Michael W. Renfro ◽  
Baki M. Cetegen
Keyword(s):  
Experimental Data ◽  
Fuel Cell ◽  
Partial Pressure ◽  
Water Transport ◽  
Proton Exchange Membrane ◽  
Cell Model ◽  
Proton Exchange ◽  
Pressure Profiles ◽  
Model Predictions ◽  
Exchange Membrane

Transient experimental validation and investigation of the effect of diffusivity of porous layers on the dynamic water vapor partial pressure profiles of a proton exchange membrane fuel cell (PEMFC) during load change is presented. A three dimensional, isothermal, transient, single-phase computational fluid dynamics based model is developed to validate with the water partial pressure profiles experimentally measured during start-up conditions earlier in a 50 cm2 PEMFC having a single serpentine flow path in counter-flow configuration. The fluid flow within the serpentine channel geometry is simulated using a straight channel fuel cell model with total channel length equivalent to the stretched length of the entire serpentine path incorporating the same amount of pressure drop from inlet to outlet. The model equations are solved using a multi-domain approach incorporating water transport through membrane and multi-component species transport through porous diffusion layer. The transient model predictions of water partial pressure profiles of anode and cathode channels are found to be in good agreement within the error bounds of the experimental results. This validation is also indicative of the two different time scales i.e. initial anode dip due to electro-osmotic drag and recovery due to back diffusion from cathode to anode. Steady state model predictions are compared to check for accuracy simultaneously. The model also delineates the significance of effective diffusivity of porous Gas Diffusion Layers (GDL) and Catalyst Layers (CL) on transient characteristics. In order to come up with best parameters to validate with experimental data, a sensitivity analysis with parametric variations of effective porosity of GDL and CL is performed with a single experimental data set and then applied to the remaining sets. Results show that the CL diffusivity has a more pronounced effect on water accumulation as well as on temporal water transport than GDL diffusivity. The numerical simulation thus provides a validated set of quantitative model parameters along with an insight to the underlying physics of water transport phenomena in a PEMFC.

scholarly journals Dynamic Cell Level Modeling and Experimental Data From a Proton Exchange Membrane Fuel Cell

2006 ◽  
Author(s):  
Sang-Gyu Kang ◽  
Han-Sang Kim ◽  
Taehun Ha ◽  
Kyoungdoug Min ◽  
Fabian Mueller ◽  
...  
Keyword(s):  
Experimental Data ◽  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Full Range ◽  
Three Dimensional ◽  
Proton Exchange ◽  
Three Dimensions ◽  
Voltage Response ◽  
Local Dynamic ◽  
Exchange Membrane

A quasi three-dimensional dynamic model of a proton exchange membrane fuel cell (PEMFC) has been developed and evaluated by comparison to experimental data. A single PEMFC cell is discretized into 245 control volumes in three dimensions to resolves local voltage response, current generation, species mole fractions, temperature, and membrane hydration spatially in the PEMFC. The model can further simulate transients in electrical load, inlet flow conditions, ambient conditions, and/or other parameters to provide insight into the local dynamic performance of a PEMFC. The quasi three-dimensional model has been validated against an experimental single cell. To compare the model, polarization constants were tuned to match one experimental operating point of the fuel cell. With this tuning, the model is shown to predict well the voltage current (V-I) behavior for the full range of cell operating current. Further, model comparison to an instantaneous increase in current indicates that the model can predict the transient electrochemical response of the PEMFC. This suggests such a model can be utilized for PEMFC system development, transient analysis of a PEMFC in general, as well as transient control design.

scholarly journals Investigation of the Ambient Temperature Influence on the PEMFC Characteristics: Modeling from a Single Cell to a Stack

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2117
Author(s):  
Nikita Faddeev ◽  
Evgeny Anisimov ◽  
Maxim Belichenko ◽  
Alexandra Kuriganova ◽  
Nina Smirnova
Keyword(s):  
Experimental Data ◽  
Fuel Cell ◽  
Temperature Gradient ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Maximum Temperature ◽  
Membrane Electrode ◽  
Ambient Temperatures ◽  
Exchange Membrane ◽  
Stack Model

Power supply systems based on air-cooled proton exchange membrane fuel cell (PEMFC) stacks are becoming more popular as power sources for mobile applications. We try to create a PEMFC model that allows for predicting the PEMFC operation in various climatic conditions. A total of two models were developed and used: the membrane electrode assemble (MEA) model and the PEMFC stack model. The developed MEA model allows to determine the influence of external factors (temperature) on the PEMFC power density. The data obtained using the developed model correlate with experimental data at low ambient temperatures (10–30 °C). The difference between the simulation and experimental data is less than 10%. However, the accuracy of the model during PEMFC operation at high (>30 °C) and negative ambient temperatures remains in doubt and requires improvement. The obtained data were integrated into the air-cooled PEMFC stack model. Data of the temperature fields distribution will help to manage the processes in the PEMFC stack. The maximum temperature is slightly above 60 °C, which corresponds to the optimal conditions for the operation of the stack. The temperature gradient across the longitudinal section is very low (<20 °C), which is a positive factor for the chemical reaction. However, the temperature gradient observed across the cross section of the PEMFC stack is 30 °C. The data obtained will help to optimize the mass-dimensional characteristics of air-cooled proton exchange membrane fuel cell and increase their performance. The synergetic effect between the MEA model and the PEMFC stack model can be successfully used in the selection of materials and the development of a thermoregulation system in the PEMFC stack.

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