IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v5y2023i2p28-568d1131058.html
   My bibliography  Save this article

Investigation of Hydrogen Production System-Based PEM EL: PEM EL Modeling, DC/DC Power Converter, and Controller Design Approaches

Author

Listed:
  • Mohamed Koundi

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Hassan El Fadil

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Zakaria EL Idrissi

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Abdellah Lassioui

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Abdessamad Intidam

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Tasnime Bouanou

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Soukaina Nady

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco)

  • Aziz Rachid

    (ASE Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kénitra 14000, Morocco
    LSIB Laboratory, FST, Hassan II University of Casablanca, Mohammedia 28806, Morocco)

Abstract

The main component of the hydrogen production system is the electrolyzer (EL), which is used to convert electrical energy and water into hydrogen and oxygen. The power converter supplies the EL, and the controller is used to ensure the global stability and safety of the overall system. This review aims to investigate and analyze each one of these components: Proton Exchange Membrane Electrolyzer (PEM EL) electrical modeling, DC/DC power converters, and control approaches. To achieve this desired result, a review of the literature survey and an investigation of the PEM EL electrical modeling of the empirical and semi-empirical, including the static and dynamic models, are carried out. In addition, other sub-models used to predict the temperature, gas flow rates (H 2 and O 2 ), hydrogen pressure, and energy efficiency for PEM EL are covered. DC/DC power converters suitable for PEM EL are discussed in terms of efficiency, current ripple, voltage ratio, and their ability to operate in the case of power switch failure. This review involves analysis and investigation of PEM EL control strategies and approaches previously used to achieve control objectives, robustness, and reliability in studying the DC/DC converter-PEM electrolyzer system. The paper also highlights the online parameter identification of the PEM electrolyzer model and adaptive control issues. Finally, a discussion of the results is developed to emphasize the strengths, weaknesses, and imperfections of the literature on this subject as well as proposing ideas and challenges for future work.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jcltec:v:5:y:2023:i:2:p:28-568:d:1131058
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/5/2/28/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8797/5/2/28/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Alamir H. Hassan & Zhirong Liao & Kaichen Wang & Mostafa M. Abdelsamie & Chao Xu & Yanhui Wang, 2022. "Exergy and Exergoeconomic Analysis for the Proton Exchange Membrane Water Electrolysis under Various Operating Conditions and Design Parameters," Energies, MDPI, vol. 15(21), pages 1-24, November.
    3. Ziogou, Chrysovalantou & Ipsakis, Dimitris & Seferlis, Panos & Bezergianni, Stella & Papadopoulou, Simira & Voutetakis, Spyros, 2013. "Optimal production of renewable hydrogen based on an efficient energy management strategy," Energy, Elsevier, vol. 55(C), pages 58-67.
    4. 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.
    5. 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.
    6. Deshmukh, Sachin S. & Boehm, Robert F., 2008. "Review of modeling details related to renewably powered hydrogen systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2301-2330, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. 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.
    4. Olivier, Pierre & Bourasseau, Cyril & Bouamama, Pr. Belkacem, 2017. "Low-temperature electrolysis system modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 280-300.
    5. 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.
    6. 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.
    7. Andrea Barbaresi & Mirko Morini & Agostino Gambarotta, 2022. "Review on the Status of the Research on Power-to-Gas Experimental Activities," Energies, MDPI, vol. 15(16), pages 1-32, August.
    8. Luo, Yu & Shi, Yixiang & Li, Wenying & Cai, Ningsheng, 2014. "Comprehensive modeling of tubular solid oxide electrolysis cell for co-electrolysis of steam and carbon dioxide," Energy, Elsevier, vol. 70(C), pages 420-434.
    9. Claudio Cubito & Federico Millo & Giulio Boccardo & Giuseppe Di Pierro & Biagio Ciuffo & Georgios Fontaras & Simone Serra & Marcos Otura Garcia & Germana Trentadue, 2017. "Impact of Different Driving Cycles and Operating Conditions on CO 2 Emissions and Energy Management Strategies of a Euro-6 Hybrid Electric Vehicle," Energies, MDPI, vol. 10(10), pages 1-18, October.
    10. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2021. "Integrating renewables into stand-alone hybrid systems meeting electric, heating, and cooling loads: A case study," Renewable Energy, Elsevier, vol. 180(C), pages 1222-1236.
    11. Qiu, Xiaoyan & Zhang, Hang & Qiu, Yiwei & Zhou, Yi & Zang, Tianlei & Zhou, Buxiang & Qi, Ruomei & Lin, Jin & Wang, Jiepeng, 2023. "Dynamic parameter estimation of the alkaline electrolysis system combining Bayesian inference and adaptive polynomial surrogate models," Applied Energy, Elsevier, vol. 348(C).
    12. G. García Clúa, José & Mantz, Ricardo J. & De Battista, Hernán, 2011. "Evaluation of hydrogen production capabilities of a grid-assisted wind-H2 system," Applied Energy, Elsevier, vol. 88(5), pages 1857-1863, May.
    13. Mohamed Benghanem & Adel Mellit & Hamad Almohamadi & Sofiane Haddad & Nedjwa Chettibi & Abdulaziz M. Alanazi & Drigos Dasalla & Ahmed Alzahrani, 2023. "Hydrogen Production Methods Based on Solar and Wind Energy: A Review," Energies, MDPI, vol. 16(2), pages 1-31, January.
    14. Schrotenboer, Albert H. & Veenstra, Arjen A.T. & uit het Broek, Michiel A.J. & Ursavas, Evrim, 2022. "A Green Hydrogen Energy System: Optimal control strategies for integrated hydrogen storage and power generation with wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Liu, Hongwei & Ren, He & Gu, Yajing & Lin, Yonggang & Hu, Weifei & Song, Jiajun & Yang, Jinhong & Zhu, Zengxin & Li, Wei, 2023. "Design and on-site implementation of an off-grid marine current powered hydrogen production system," Applied Energy, Elsevier, vol. 330(PB).
    16. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    17. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2018. "Effect of load following strategies, hardware, and thermal load distribution on stand-alone hybrid CCHP systems," Applied Energy, Elsevier, vol. 220(C), pages 735-753.
    18. Kafetzis, A. & Ziogou, C. & Panopoulos, K.D. & Papadopoulou, S. & Seferlis, P. & Voutetakis, S., 2020. "Energy management strategies based on hybrid automata for islanded microgrids with renewable sources, batteries and hydrogen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    19. Tan, Taide & Chen, Yitung, 2010. "Review of study on solid particle solar receivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 265-276, January.
    20. Sadhukhan, Jhuma & Lloyd, Jon R. & Scott, Keith & Premier, Giuliano C. & Yu, Eileen H. & Curtis, Tom & Head, Ian M., 2016. "A critical review of integration analysis of microbial electrosynthesis (MES) systems with waste biorefineries for the production of biofuel and chemical from reuse of CO2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 116-132.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jcltec:v:5:y:2023:i:2:p:28-568:d:1131058. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.