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Computational assessment of response to fluctuating load of renewable energy in proton exchange membrane water electrolyzer

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  • Xu, Boshi
  • Yang, Yang
  • Li, Jun
  • Wang, Yang
  • Ye, Dingding
  • Zhang, Liang
  • Zhu, Xun
  • Liao, Qiang

Abstract

Proton exchange membrane water electrolyzer (PEMWE) is a promising technology to consume the fluctuating renewable energy and generate green hydrogen. However, the dynamic responses of physical parameters are still unclear during the fluctuating operation. Herein, a three-dimensional multi-physics model including mass and heat transfer, fluid flow, hydrogen crossover and electrochemical reactions is developed. The transient simulations are conducted and responses of critical parameters towards the fluctuation are analyzed. The temperature response shows a delay of ∼15 s to reach the steady state, and the overshoot phenomena are observed for the oxygen concentration and voltage when the current density is suddenly changed. Hydrogen crossover shows a sharp rise when the current density is decreased abruptly. The peak value of anode H2 in O2 vol% is twice the steady-state value when the current density decreases to 0.1 A cm−2. This work provides a comprehensive understanding of parameter behaviors under fluctuating conditions and guides the design of specific components.

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  • Xu, Boshi & Yang, Yang & Li, Jun & Wang, Yang & Ye, Dingding & Zhang, Liang & Zhu, Xun & Liao, Qiang, 2024. "Computational assessment of response to fluctuating load of renewable energy in proton exchange membrane water electrolyzer," Renewable Energy, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:renene:v:232:y:2024:i:c:s0960148124011522
    DOI: 10.1016/j.renene.2024.121084
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    1. Upadhyay, Mukesh & Kim, Ayeon & Paramanantham, SalaiSargunan S. & Kim, Heehyang & Lim, Dongjun & Lee, Sunyoung & Moon, Sangbong & Lim, Hankwon, 2022. "Three-dimensional CFD simulation of proton exchange membrane water electrolyser: Performance assessment under different condition," Applied Energy, Elsevier, vol. 306(PA).
    2. Xiong, Hualin & Xu, Beibei & Kheav, Kimleng & Luo, Xingqi & Zhang, Xingjin & Patelli, Edoardo & Guo, Pengcheng & Chen, Diyi, 2021. "Multiscale power fluctuation evaluation of a hydro-wind-photovoltaic system," Renewable Energy, Elsevier, vol. 175(C), pages 153-166.
    3. 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.
    4. Xing, Lei & Liu, Xiaoteng & Alaje, Taiwo & Kumar, Ravi & Mamlouk, Mohamed & Scott, Keith, 2014. "A two-phase flow and non-isothermal agglomerate model for a proton exchange membrane (PEM) fuel cell," Energy, Elsevier, vol. 73(C), pages 618-634.
    5. Kang, Zhenye & Yang, Gaoqiang & Mo, Jingke, 2024. "Development of an ultra-thin electrode for the oxygen evolution reaction in proton exchange membrane water electrolyzers," Renewable Energy, Elsevier, vol. 224(C).
    6. Rodríguez, Fermín & Galarza, Ainhoa & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control," Energy, Elsevier, vol. 239(PB).
    7. Verdejo, Humberto & Awerkin, Almendra & Saavedra, Eugenio & Kliemann, Wolfgang & Vargas, Luis, 2016. "Stochastic modeling to represent wind power generation and demand in electric power system based on real data," Applied Energy, Elsevier, vol. 173(C), pages 283-295.
    8. Igliński, Bartłomiej & Kiełkowska, Urszula & Pietrzak, Michał Bernard & Skrzatek, Mateusz & Kumar, Gopalakrishnan & Piechota, Grzegorz, 2023. "The regional energy transformation in the context of renewable energy sources potential," Renewable Energy, Elsevier, vol. 218(C).
    9. Koponen, Joonas & Ruuskanen, Vesa & Hehemann, Michael & Rauls, Edward & Kosonen, Antti & Ahola, Jero & Stolten, Detlef, 2020. "Effect of power quality on the design of proton exchange membrane water electrolysis systems," Applied Energy, Elsevier, vol. 279(C).
    10. Buttler, Alexander & Spliethoff, Hartmut, 2018. "Current status of water electrolysis for energy storage, grid balancing and sector coupling via power-to-gas and power-to-liquids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2440-2454.
    11. Yang, Mao & Wang, Da & Xu, Chuanyu & Dai, Bozhi & Ma, Miaomiao & Su, Xin, 2023. "Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting," Renewable Energy, Elsevier, vol. 211(C), pages 582-594.
    12. Saha, Arindita & Bhaskar, Mahajan Sagar & Almakhles, Dhafer J. & Elmorshedy, Mahmoud F., 2024. "Employment of renewable based sources in amalgamated frequency-voltage control restructured system with TSA trained IPD(1+I) controller," Renewable Energy, Elsevier, vol. 222(C).
    13. Wang, Bowen & Ni, Meng & Zhang, Shiye & Liu, Zhi & Jiang, Shangfeng & Zhang, Longhai & Zhou, Feikun & Jiao, Kui, 2023. "Two-phase analytical modeling and intelligence parameter estimation of proton exchange membrane electrolyzer for hydrogen production," Renewable Energy, Elsevier, vol. 211(C), pages 202-213.
    14. Wu, Lizhen & An, Liang & Jiao, Daokuan & Xu, Yifan & Zhang, Guobin & Jiao, Kui, 2022. "Enhanced oxygen discharge with structured mesh channel in proton exchange membrane electrolysis cell," Applied Energy, Elsevier, vol. 323(C).
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    1. Tang, Yinglun & Su, Shangchun & Niu, Xiaoxuan & Song, Zhehui & Li, Wenjia, 2024. "A gradient porous transport layer enabling a high-performance proton-exchange membrane electrolysis cell," Renewable Energy, Elsevier, vol. 237(PC).

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