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Modelling and Experimental Analysis of a Polymer Electrolyte Membrane Water Electrolysis Cell at Different Operating Temperatures

Author

Listed:
  • Vincenzo Liso

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Giorgio Savoia

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Samuel Simon Araya

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • Giovanni Cinti

    (Department of Engineering, Universitá degli Studi di Perugia, 06125 Perugia PG, Italy)

  • Søren Knudsen Kær

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

In this paper, a simplified model of a Polymer Electrolyte Membrane (PEM) water electrolysis cell is presented and compared with experimental data at 60 °C and 80 °C. The model utilizes the same modelling approach used in previous work where the electrolyzer cell is divided in four subsections: cathode, anode, membrane and voltage. The model of the electrodes includes key electrochemical reactions and gas transport mechanism (i.e., H 2 , O 2 and H 2 O ) whereas the model of the membrane includes physical mechanisms such as water diffusion, electro osmotic drag and hydraulic pressure. Voltage was modelled including main overpotentials (i.e., activation, ohmic, concentration). First and second law efficiencies were defined. Key empirical parameters depending on temperature were identified in the activation and ohmic overpotentials. The electrodes reference exchange current densities and change transfer coefficients were related to activation overpotentials whereas hydrogen ion diffusion to Ohmic overvoltages. These model parameters were empirically fitted so that polarization curve obtained by the model predicted well the voltage at different current found by the experimental results. Finally, from the efficiency calculation, it was shown that at low current densities the electrolyzer cell absorbs heat from the surroundings. The model is not able to describe the transients involved during the cell electrochemical reactions, however these processes are assumed relatively fast. For this reason, the model can be implemented in system dynamic modelling for hydrogen production and storage where components dynamic is generally slower compared to the cell electrochemical reactions dynamics.

Suggested Citation

  • Vincenzo Liso & Giorgio Savoia & Samuel Simon Araya & Giovanni Cinti & Søren Knudsen Kær, 2018. "Modelling and Experimental Analysis of a Polymer Electrolyte Membrane Water Electrolysis Cell at Different Operating Temperatures," Energies, MDPI, vol. 11(12), pages 1-18, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3273-:d:185168
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    References listed on IDEAS

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    1. Khan, M.J. & Iqbal, M.T., 2005. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system," Renewable Energy, Elsevier, vol. 30(3), pages 421-439.
    2. Espinosa-López, Manuel & Darras, Christophe & Poggi, Philippe & Glises, Raynal & Baucour, Philippe & Rakotondrainibe, André & Besse, Serge & Serre-Combe, Pierre, 2018. "Modelling and experimental validation of a 46 kW PEM high pressure water electrolyzer," Renewable Energy, Elsevier, vol. 119(C), pages 160-173.
    3. Dominković, D.F. & Bačeković, I. & Pedersen, A.S. & Krajačić, G., 2018. "The future of transportation in sustainable energy systems: Opportunities and barriers in a clean energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P2), pages 1823-1838.
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    Cited by:

    1. Feriel Mustapha & Damien Guilbert & Mohammed El-Ganaoui, 2022. "Investigation of Electrical and Thermal Performance of a Commercial PEM Electrolyzer under Dynamic Solicitations," Clean Technol., MDPI, vol. 4(4), pages 1-11, September.
    2. Mohamed Koundi & Hassan El Fadil & Zakaria EL Idrissi & Abdellah Lassioui & Abdessamad Intidam & Tasnime Bouanou & Soukaina Nady & Aziz Rachid, 2023. "Investigation of Hydrogen Production System-Based PEM EL: PEM EL Modeling, DC/DC Power Converter, and Controller Design Approaches," Clean Technol., MDPI, vol. 5(2), pages 1-38, April.
    3. Sumit Sood & Om Prakash & Mahdi Boukerdja & Jean-Yves Dieulot & Belkacem Ould-Bouamama & Mathieu Bressel & Anne-Lise Gehin, 2020. "Generic Dynamical Model of PEM Electrolyser under Intermittent Sources," Energies, MDPI, vol. 13(24), pages 1-34, December.
    4. 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.
    5. Burin Yodwong & Damien Guilbert & Matheepot Phattanasak & Wattana Kaewmanee & Melika Hinaje & Gianpaolo Vitale, 2020. "Faraday’s Efficiency Modeling of a Proton Exchange Membrane Electrolyzer Based on Experimental Data," Energies, MDPI, vol. 13(18), pages 1-14, September.
    6. Ruiz Diaz, Daniela Fernanda & Valenzuela, Edgar & Wang, Yun, 2022. "A component-level model of polymer electrolyte membrane electrolysis cells for hydrogen production," Applied Energy, Elsevier, vol. 321(C).
    7. 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.

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