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author:

Chen, Rui (Chen, Rui.) [1] | Zheng, Wendi (Zheng, Wendi.) [2] | Zhu, Youzhe (Zhu, Youzhe.) [3] | Pan, Jianing (Pan, Jianing.) [4] | Wu, Yonghai (Wu, Yonghai.) [5]

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EI Scopus

Abstract:

With the growing demand for clean energy, hydrogen has emerged as a key zero-carbon energy carrier, particularly in power-to-hydrogen (P2H) systems. However, the safe operation of hydrogen storage tanks-especially during rapid charging/discharging-remains a critical yet understudied challenge. This paper proposes an optimized electricity-hydrogen network model that ensures thermal safety in hydrogen storage tanks during rapid charging/discharging. The framework integrates power grid and pipeline network optimization with a neural network-based thermal surrogate model. Case studies show the model prevents hazardous temperature fluctuations with only a 2.4% cost increase, demonstrating its effectiveness for safe hydrogen system operation. © 2025 IEEE.

Keyword:

Data storage equipment Electric power transmission networks Hydrogen storage Neural networks Pipelines Thermal modeling Zero-carbon

Community:

  • [ 1 ] [Chen, Rui]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350012, China
  • [ 2 ] [Zheng, Wendi]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350012, China
  • [ 3 ] [Zhu, Youzhe]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350012, China
  • [ 4 ] [Pan, Jianing]College of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350012, China
  • [ 5 ] [Wu, Yonghai]Longyan Electric Power Supply Company, State Grid Fujian Electric Power Company, Fujian Province, Longyan; 364000, China

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Year: 2025

Page: 697-702

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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