Dimensionless approach of a polymer electrolyte membrane water electrolysis: Advanced analytical modelling

Aubras, Farid; Rhandi, Maha; Deseure, Jonathan; Kadjo, Amangoua Jean-Jacques; Bessafi, Miloud; Grondin-Pérez, Brigitte; Druart, Florence; Chabriat, Jean-Pierre

doi:10.1016/j.jpowsour.2020.228858

Cited by 10 publications

(3 citation statements)

References 32 publications

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“…One of the solutions to address this problem is the adoption of renewable energy technology [3]. Polymer Electrolyte Membrane Water Electrolyzer (PEMWE) has the potential to solve global energy crises and address the issue of greenhouse gas emissions such as CO2 and methane gases into the air [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Effect of Charge Transfer Coefficient (CTC) on Bubble Evolution of Polymer Electrolyte Membrane (PEM) Electrolyzer

Tijani

2022

JMechE

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There is a growing concern on the need to enhance the current density of alkaline electrolysis without compromising reduction in efficiency. During the operation of alkaline electrolyzers, a portion of the electrode surface is covered with cloud of bubbles. The bubbles increase ohmic resistance and activation overvoltage of the electrolyte. This study aims to investigate the effect of charge transfer coefficient (CTC) on the voltage characteristics of PEM electrolyzer. Matlab was used to simulate the equations. The simulation result shows that CTC values at the anode electrode range between 0.807 and 1.035. Interestingly, at CTC of 0.5 and 0.2 for anode and cathode, the operating voltage at 1 A/cm2 was observed to be 2.0 V. Also at CTC of 2 and 0.5 for anode and cathode, respectively, there was a significant drop in operating voltage up to 1.62 V with a current density of 1 A/cm2, this accounts for about 27% reduction in operating voltage

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Section: Introductionmentioning

confidence: 99%

Numerical Analysis of the Effect of Charge Transfer Coefficient (CTC) on Bubble Evolution of Polymer Electrolyte Membrane (PEM) Electrolyzer

Tijani

2022

JMechE

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“…These models are mainly focused on phenomenon understanding and for developing control algorithms. Some recent works related to modelling and performance analysis of the PEM electrolyser are presented in References [9,[17][18][19][20][21]. The authors of Reference [17] developed the power-hardware-in-loop simulator to study the effect of variable solar power input to the PEM electrolyser by considering it as a part of smart grid.…”

Section: Introductionmentioning

confidence: 99%

“…The work is limited only for study of cell voltage modelling under static and dynamic operating condition. In Reference [21], an analytical dimensionless model for a PEM electrolyser (single cell) has been proposed. A mathematical model in closed form for overpotential variation, current density distribution and water content distribution in membrane are obtained in non-dimensional form.…”

Section: Introductionmentioning

confidence: 99%

Generic Dynamical Model of PEM Electrolyser under Intermittent Sources

et al. 2020

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Proton Exchange Membrane (PEM) water electrolysis system is one of the promising technologies to produce green hydrogen from renewable energy sources (wind and solar). However, performance and dynamic analysis of PEM water electrolysis systems are challenging due to the intermittent nature of such sources and involved multi-physical behaviour of the components and subsystems. This study proposes a generic dynamical model of the PEM electrolysis system represented in a modular fashion using Bond Graph (BG) as a unified modelling approach. Causal and functional properties of the BG facilitate the formal PEM electrolyser model to adapt and to fit the different configurations of the electrolyser ranging from laboratory scale to industrial scale. The system-specific key parameter values are identified optimally for a laboratory-scale electrolyser system running on a multi-source energy platform using experimental data. The mean absolute percentage error between simulation and experimental data is found to be less than 5%. The performance characteristic curves of the electrolyser are predicted at different operating temperatures using the identified key parameters. The predicted performance is in good agreement with the expected behaviour of the electrolyser found in the literature. The model also estimates the different energy losses and the real-time efficiency of the system under dynamic inputs. With these capabilities, the developed model provides an economical mean for design, control, and diagnosis development of such systems.

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Integrated renewable electrification system modeling and tri-objective optimization analysis for net zero energy institutional building: a simulated case study of green hydrogen production

Rajasekaran,

Krishnamoorthy,

Srinivasan

et al. 2024

Environ Dev Sustain

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Dimensionless approach of a polymer electrolyte membrane water electrolysis: Advanced analytical modelling

Cited by 10 publications

References 32 publications

Numerical Analysis of the Effect of Charge Transfer Coefficient (CTC) on Bubble Evolution of Polymer Electrolyte Membrane (PEM) Electrolyzer

Numerical Analysis of the Effect of Charge Transfer Coefficient (CTC) on Bubble Evolution of Polymer Electrolyte Membrane (PEM) Electrolyzer

Generic Dynamical Model of PEM Electrolyser under Intermittent Sources

Integrated renewable electrification system modeling and tri-objective optimization analysis for net zero energy institutional building: a simulated case study of green hydrogen production

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