Determination of oxygen transport resistance in gas diffusion layer for polymer electrolyte fuel cells

Wan, Zhaohui; Zhong, Qing; Liu, S. F.; Jin, Aiping; Chen, Y. N.; Tan, Jun; Pan, Mu

doi:10.1002/er.4012

Cited by 39 publications

(24 citation statements)

References 38 publications

(54 reference statements)

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“…If the average free path of a molecule is less than 0.01 times the pore diameter, bulk diffusion dominates. If the average free path is more than 10 times the pore diameter, Knudsen diffusion dominates 56 . When the average free path is between 0.01 and 10 times the pore diameter, the two types of diffusion exist simultaneously 57 .…”

Section: Resultsmentioning

confidence: 99%

A novel predicting method on degree of catalytic reaction in fuel cells

Pan

et al. 2020

Int J Energy Res

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Summary An accurate assessment of the utilization of a catalyst for fuel cells is beneficial for guiding the optimization of working conditions and adjustment of parameters. In this study, a composite model containing the numerical model of catalyst layers and improved support vector machine (SVM) is proposed to predict the catalyst utilization. The effectiveness factor of the field of catalytic reaction engineering is introduced into the numerical model. The adaptive learning factor and the differential evolution strategy are introduced to improve the ability of generalization and robustness of the distinguishing method in the SVM. The results indicate that the radial basis function is well‐suited as the kernel function of the SVM, and the accuracy of the prediction in the anode and cathode can be increased up to 99.31% and 99.65%, respectively. The increasing transfer coefficient leads to an enhancement of the catalytic reaction, and the particle size of the catalyst impacts the catalytic reaction mainly by changing the pattern of internal diffusion. Pressure has little impact on the Knudsen diffusion.

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Section: Resultsmentioning

confidence: 99%

A novel predicting method on degree of catalytic reaction in fuel cells

Pan

et al. 2020

Int J Energy Res

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“…The impedance spectrum produced by a series of sinusoidal signals is called the EIS. By EIS, the impedance of the MFC can be determined by the response of an alternating current, and the charge transfer, mass transport, and kinetic processes can be acquired. Thus, EIS is a necessary tool for the MFC characterization.…”

Section: Resultsmentioning

confidence: 99%

Electrodeposition of graphene by cyclic voltammetry on nickel electrodes for microbial fuel cells applications

et al. 2019

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Summary Ni electrode was modified with graphene by the electrodeposition (ED) method to prepare an anode (anode‐ED) for microbial fuel cell (MFC). Electrochemical and morphological characterizations of anode‐ED along with the effects of anode modification on the MFC performance were investigated. The graphene modification based on cyclic voltammetric electrodeposition resulted in the decrease of charge transfer resistance (Rct) and improved extracellular electron transfer efficiency of anode. The maximum power density obtained from the MFC equipped with anode‐ED was 25.83 and 17.86 times larger than those of MFCs equipped with bare Ni anode and anode modified with graphene by traditional hydrothermal treatment method (anode‐HT), respectively. The electrochemical impedance spectroscopy (EIS) analysis results indicated that the Rct of anode decreased significantly after inoculation during the MFC operation. The improvement in power density was attributed to the decreasing Rct and the biocompatibility of graphene modified on anode‐ED surface. This study presented an effective electrodeposition method to make graphene‐modified anodes, which could improve the MFC performance.

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“…Research has been conducted to improve fuel cell performance due to the concentration losses. Improving the quality of the gas diffusion layer and mass transport can reduce these losses [7,19,[26][27][28][29]. Although there is interest in PEMFCs optimization, the selection of bibliographic material to comprise an adequate portfolio in a particular area is a protracted work for the researchers due to the vast publications presented by the scientific databases.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells

et al. 2019

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The growth trend of publications in the field of Proton Exchange Membrane Fuel Cell (PEMFC) was analyzed using bibliometric techniques to the identification of the areas with significant development and the orientations that have guided the research on energy cells. This study extracted the data from Scopus and Web of Science (WoS) databases to compare the bibliometric indicators of the published productions. In spite of bibliometric analysis advantages to knowing about the trends in a study area, this research requires methods to support the investigation process through the selection of a relevant bibliographic portfolio. This study applied the Methodi Ordinatio that provides a new approach to achieve it. A proposed list of the articles ranked by InOrdinatio is presented to compose the final portfolio. The obtained results in the research sub-theme of the Mass Transport in Gas Diffusion Layer (GDL) confirm the complexity in the study area by presenting erratic patterns of exponential growth. United States, China, and Japan are the leading countries on PEMFC publications. These countries have in common a strong spending by the business sector for R&D, and their gross domestic product is greater than 2%.

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Determination of oxygen transport resistance in gas diffusion layer for polymer electrolyte fuel cells

Cited by 39 publications

References 38 publications

A novel predicting method on degree of catalytic reaction in fuel cells

A novel predicting method on degree of catalytic reaction in fuel cells

Electrodeposition of graphene by cyclic voltammetry on nickel electrodes for microbial fuel cells applications

Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells

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