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Dynamic Emulation of a PEM Electrolyzer by Time Constant Based Exponential Model

Author

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  • Damien Guilbert

    (Group of Research in Electrical Engineering of Nancy (GREEN), Université de Lorraine/IUT de Longwy, 54401 Longwy, France)

  • Gianpaolo Vitale

    (ICAR, Institute for High Performance Computing and Networking, Italian National Research Council of Italy, 90146 Palermo, Italy)

Abstract

The main objective of this paper is to develop a dynamic emulator of a proton exchange membrane (PEM) electrolyzer (EL) through an equivalent electrical model. Experimental investigations have highlighted the capacitive effect of EL when subjecting to dynamic current profiles, which so far has not been reported in the literature. Thanks to a thorough experimental study, the electrical domain of a PEM EL composed of 3 cells has been modeled under dynamic operating conditions. The dynamic emulator is based on an equivalent electrical scheme that takes into consideration the dynamic behavior of the EL in cases of sudden variation in the supply current. The model parameters were identified for a suitable current interval to consider them as constant and then tested with experimental data. The obtained results through the developed dynamic emulator have demonstrated its ability to accurately replicate the dynamic behavior of a PEM EL.

Suggested Citation

  • Damien Guilbert & Gianpaolo Vitale, 2019. "Dynamic Emulation of a PEM Electrolyzer by Time Constant Based Exponential Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:750-:d:208648
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    References listed on IDEAS

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    Cited by:

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    4. Hernández-Gómez, Ángel & Ramirez, Victor & Guilbert, Damien & Saldivar, Belem, 2021. "Cell voltage static-dynamic modeling of a PEM electrolyzer based on adaptive parameters: Development and experimental validation," Renewable Energy, Elsevier, vol. 163(C), pages 1508-1522.
    5. Dang, Jian & Yang, Fuyuan & Li, Yangyang & Zhao, Yingpeng & Ouyang, Minggao & Hu, Song, 2022. "Experiments and microsimulation of high-pressure single-cell PEM electrolyzer," Applied Energy, Elsevier, vol. 321(C).
    6. Damien Guilbert & Gianpaolo Vitale, 2021. "Hydrogen as a Clean and Sustainable Energy Vector for Global Transition from Fossil-Based to Zero-Carbon," Clean Technol., MDPI, vol. 3(4), pages 1-29, December.
    7. Tomislav Capuder & Bojana Barać & Matija Kostelac & Matej Krpan, 2023. "Three-Stage Modeling Framework for Analyzing Islanding Capabilities of Decarbonized Energy Communities," Energies, MDPI, vol. 16(11), pages 1-24, May.
    8. Damien Guilbert & Gianpaolo Vitale, 2020. "Improved Hydrogen-Production-Based Power Management Control of a Wind Turbine Conversion System Coupled with Multistack Proton Exchange Membrane Electrolyzers," Energies, MDPI, vol. 13(5), pages 1-18, March.
    9. Giuseppe De Lorenzo & Raffaele Giuseppe Agostino & Petronilla Fragiacomo, 2022. "Dynamic Electric Simulation Model of a Proton Exchange Membrane Electrolyzer System for Hydrogen Production," Energies, MDPI, vol. 15(17), pages 1-15, September.
    10. Jae-Hoon Kim & Chang-Yeol Oh & Ki-Ryong Kim & Jong-Pil Lee & Tae-Jin Kim, 2022. "Parameter Identification of Electrical Equivalent Circuits including Mass Transfer Parameters for the Selection of the Operating Frequencies of Pulsed PEM Water Electrolysis," Energies, MDPI, vol. 15(24), pages 1-16, December.
    11. Seleem, Sameh I. & Hasanien, Hany M. & El-Fergany, Attia A., 2021. "Equilibrium optimizer for parameter extraction of a fuel cell dynamic model," Renewable Energy, Elsevier, vol. 169(C), pages 117-128.

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