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Active pressure and flow rate control of alkaline water electrolyzer based on wind power prediction and 100% energy utilization in off-grid wind-hydrogen coupling system

Author

Listed:
  • Li, Yangyang
  • Zhang, Tao
  • Deng, Xintao
  • Liu, Biao
  • Ma, Jugang
  • Yang, Fuyuan
  • Ouyang, Minggao

Abstract

To increase the energy-conversion efficiency while maintaining safety in commercial alkaline water electrolyzer (AWE) systems. In this paper, (1) a 4 kW AWE system test is conducted to study the effect of pressure, temperature and lye flow rate on the hydrogen in oxygen (HTO) and voltage. (2) The mechanism of HTO is analyzed, and this paper first presents the steady-state and dynamic HTO model in AWE system with physical porous separator. Meantime, the voltage and HTO model are developed and calibrated by the steady-state and transient operation conditions, and relative errors are within 5 %. (3) Based on the analysis of the pressure and lye flow rate on HTO, it is important to obtain the optimal pressure-current density change trends, with an extension of the AWE system’s minimum load from 20 % by the traditional constant pressure controller to 11.78 % by the pressure controller and 8.95 % by the pressure and lye flow rate control, and its corresponding current density is 0.0264 A/cm2 and 0.0196 A/cm2, respectively. (4) Both the multi-AWE configuration and alkaline water electrolyzer couples with battery could complete 100 % utilization of wind power. Therefore, the controlling methods is a great way of lowering load limit of AWE and cutting the start-stop times under renewable energy conditions, besides, the controlling methods and multi slot hybrid mode can achieve 100 % energy utilization in hydrogen production scenario of wind power network.

Suggested Citation

  • Li, Yangyang & Zhang, Tao & Deng, Xintao & Liu, Biao & Ma, Jugang & Yang, Fuyuan & Ouyang, Minggao, 2022. "Active pressure and flow rate control of alkaline water electrolyzer based on wind power prediction and 100% energy utilization in off-grid wind-hydrogen coupling system," Applied Energy, Elsevier, vol. 328(C).
  • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014295
    DOI: 10.1016/j.apenergy.2022.120172
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    References listed on IDEAS

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    1. Jang, Dohyung & Cho, Hyun-Seok & Kang, Sanggyu, 2021. "Numerical modeling and analysis of the effect of pressure on the performance of an alkaline water electrolysis system," Applied Energy, Elsevier, vol. 287(C).
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    4. Daming Zhao & Yiqing Wang & Chung-Li Dong & Yu-Cheng Huang & Jie Chen & Fei Xue & Shaohua Shen & Liejin Guo, 2021. "Boron-doped nitrogen-deficient carbon nitride-based Z-scheme heterostructures for photocatalytic overall water splitting," Nature Energy, Nature, vol. 6(4), pages 388-397, April.
    5. 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.
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    1. Sohani, Ali & Cornaro, Cristina & Shahverdian, Mohammad Hassan & Pierro, Marco & Moser, David & Nižetić, Sandro & Karimi, Nader & Li, Larry K.B. & Doranehgard, Mohammad Hossein, 2023. "Building integrated photovoltaic/thermal technologies in Middle Eastern and North African countries: Current trends and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. 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).

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