Simplified Mathematical Model for Polarization Curve Validation and Experimental Performance Evaluation of a PEM Fuel Cell System

Andronie, A.; Stamatin, I.; Girleanu, Valentin; Ionescu, Viorel; Buzbuchi, Nicolae

doi:10.1016/j.promfg.2019.02.289

Cited by 12 publications

(10 citation statements)

References 14 publications

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“…At high current density, the concentration overpotential plays a major role 57 . At this time, the temperature change mainly influences the polarization curve by influencing the limiting current, and the voltage is considerably affected by the transport resistance of the reactants 58 …”

Section: Resultsmentioning

confidence: 99%

“…56 At high current density, the concentration overpotential plays a major role. 57 At this time, the temperature change mainly influences the polarization curve by influencing the limiting current, and the voltage is considerably affected by the transport resistance of the reactants. 58 As the cell temperature exceeds the humidification temperature, the exchange current density increases with the increasing temperature, resulting in membrane dehydration and the reduction of the surface layer of the active catalyst.…”

Section: Cell Temperaturementioning

confidence: 99%

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Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Pan

Huang

et al. 2020

Int J Energy Res

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Section: Resultsmentioning

confidence: 99%

Section: Cell Temperaturementioning

confidence: 99%

Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Pan

Huang

et al. 2020

Int J Energy Res

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“…In relation (22), r Pt represents the radius of an individual Pt particle and ρ Pt =21.45 g cm -3 is the Pt density. A CL with thickness t cl =15 μm and ε l =0.75, having a Pt loading m Pt =0.4 mg cm -2 was characterized by r Pt =2.5 nm [19].…”

Section: Governing Equations In Comsol Multiphysics Interfacesmentioning

confidence: 99%

“…A CL with thickness t cl =15 μm and ε l =0.75, having a Pt loading m Pt =0.4 mg cm -2 was characterized by r Pt =2.5 nm [19]. MEA assembly used inside a PEMFC cell, experimentally tested at different backpressures was based on a Nafion 117 membrane and a CL with Pt loading of 1 mg cm -2 at anode and cathode [22].…”

Section: Governing Equations In Comsol Multiphysics Interfacesmentioning

confidence: 99%

Water and hydrogen transport modelling through the membrane-electrode assembly of a PEM fuel cell

Ionescu

2020

Phys. Scr.

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Membrane electrode assembly (MEA) formed by a proton exchange membrane (PEM), two catalyst layers and two gas diffusion layers represent the heart of the PEM fuel cell system, being the place where the electrochemical reactions are developed in order to generate electrical power. Due to a complex water production and transportation process through the porous media of MEA, the water management represents one of the most critical issues for the low temperature PEM fuel cell systems, working at 30 °C-80 °C. In the present paper, a one-dimensional mass transport PEMFC model for evaluation of net water flux across the Nafion type membrane was implemented with the Comsol Multiphysis software, based on the finite element method. Hydrogen crossover phenomenon, which may cause a degradation of the reaction sites inside MEA, was also included in the model. The numerical model offered a reasonable prediction of the fuel cell electrical performance in the form of current-voltage characteristic after validation with experimental data from the literature. Fuel cell performance was investigated by modifying the temperature and pressure inside the cell, along with the relative humidity for reactant gases.

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“…Semi-empirical models have been developed for more mature electrochemical technologies, such as alkaline water electrolyzers, − proton exchange membrane water electrolyzers, − and proton exchange membrane fuel cells. − These models have achieved relatively high accuracies at low computational expense and have helped to identify optimal operating conditions (e.g., temperature, pressure, current density, electrolyte flow rate) and components (e.g., diaphragms, porous transport layers) for use in industrial applications. A comprehensive semi-empirical model is now needed for the field of CO 2 electrolysis.…”

mentioning

confidence: 99%

Pilot-Scale CO₂ Electrolysis Enables a Semi-empirical Electrolyzer Model

et al. 2023

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Carbon dioxide (CO 2 ) electrolysis powered with renewable electricity can help close the carbon cycle by converting emissions into chemicals and fuels. Two key advancements are required to bridge the technological gaps for industrial implementation: pilot plant demonstrations with detailed performance data; and chemical engineering process models built and tested with lab-and pilot-scale data. Here, we develop a semi-empirical electrolyzer model in Aspen Custom Modeler which is trained on a 5 cm 2 lab-scale CO 2 electrolyzer. We then scale to a pilot-scale 800 cm 2 single cell and 10 × 800 cm 2 stack and use the results to validate the model; at 100 mA cm −2 , the model can predict six of seven cell performance metrics within 16% absolute error and three of five stack metrics within 11% absolute error. With the combination of the electrolyzer model and the pilot-scale data, this work provides the prerequisites for further scaling of CO 2 electrolysis.

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Simplified Mathematical Model for Polarization Curve Validation and Experimental Performance Evaluation of a PEM Fuel Cell System

Cited by 12 publications

References 14 publications

Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Water and hydrogen transport modelling through the membrane-electrode assembly of a PEM fuel cell

Pilot-Scale CO₂ Electrolysis Enables a Semi-empirical Electrolyzer Model

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Simplified Mathematical Model for Polarization Curve Validation and Experimental Performance Evaluation of a PEM Fuel Cell System

Cited by 12 publications

References 14 publications

Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Exploring the direct influence of control parameters of experimental facility for fuel cells based on improved generalized regression neural network

Water and hydrogen transport modelling through the membrane-electrode assembly of a PEM fuel cell

Pilot-Scale CO2 Electrolysis Enables a Semi-empirical Electrolyzer Model

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Product

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Pilot-Scale CO₂ Electrolysis Enables a Semi-empirical Electrolyzer Model