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Dynamic Electric Simulation Model of a Proton Exchange Membrane Electrolyzer System for Hydrogen Production

Author

Listed:
  • Giuseppe De Lorenzo

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Cube 44C, Via P. Bucci, 87036 Rende, CS, Italy)

  • Raffaele Giuseppe Agostino

    (Department of Physics, University of Calabria, Cube 31C, Via P. Bucci, 87036 Rende, CS, Italy)

  • Petronilla Fragiacomo

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Cube 44C, Via P. Bucci, 87036 Rende, CS, Italy)

Abstract

An energy storage system based on a Proton Exchange Membrane (PEM) electrolyzer system, which could be managed by a nanoGrid for Home Applications (nGfHA), is able to convert the surplus of electric energy produced by renewable sources into hydrogen, which can be stored in pressurized tanks. The PEM electrolyzer system must be able to operate at variable feeding power for converting all the surplus of renewable electric energy into hydrogen in reasonable time. In this article, the dynamic electric simulation model of a PEM electrolyzer system with its pressurized hydrogen tanks is developed in a proper calculation environment. Through the calculation code, the stack voltage and current peaks to a supply power variation from the minimum value (about 56 W) to the maximum value (about 440 W) are controlled and zeroed to preserve the stack, the best range of the operating stack current is evaluated, and hydrogen production is monitored.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6437-:d:905746
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    References listed on IDEAS

    as
    1. Mohammed Yousri Silaa & Mohamed Derbeli & Oscar Barambones & Ali Cheknane, 2020. "Design and Implementation of High Order Sliding Mode Control for PEMFC Power System," Energies, MDPI, vol. 13(17), pages 1-15, August.
    2. José Luis Sampietro & Vicenç Puig & Ramon Costa-Castelló, 2019. "Optimal Sizing of Storage Elements for a Vehicle Based on Fuel Cells, Supercapacitors, and Batteries," Energies, MDPI, vol. 12(5), pages 1-27, March.
    3. 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.
    4. Muhammad Saqib Nazir & Iftikhar Ahmad & Muhammad Jawad Khan & Yasar Ayaz & Hammad Armghan, 2020. "Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles," Energies, MDPI, vol. 13(21), pages 1-21, October.
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