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author:

Zheng, Wendi (Zheng, Wendi.) [1] | Wang, Jiateng (Wang, Jiateng.) [2] | Shao, Zhenguo (Shao, Zhenguo.) [3] | Yang, Yingsheng (Yang, Yingsheng.) [4] | Zhao, Yuhang (Zhao, Yuhang.) [5] | Lai, Zhenhua (Lai, Zhenhua.) [6]

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EI

Abstract:

Hydrogen-enriched compressed natural gas pemetrated integrated energy system (HPIES) stands as a highly promising technique for enhancing energy efficiency and mitigating emissions, owing to its capacity to effectively address the issue of elevated hydrogen transportation expenses. Traditional integrated energy systems (IESs) fail to describe the impact of hydrogen blending on gas properties, gas transportation, and gas separation, and face economic challenges. Therefore, in this paper, a novel HPIES optimal scheduling model is established considering the multi-membrane hydrogen separation and the variable efficiency model of electrolyzer. Firstly, the HPIES model, considering variable hydrogen doping ratio and uncertain starting flow direction, is developed. Secondly, in HPIES, two kinds of membranes are combined to form a multi-membrane hydrogen separation model. The thermodynamics of the electrolyzer and the bubble coverage model are considered in the optimization of HPIES. Finally, the effectiveness of the proposed model is verified by taking IEEE 39 — bus power system and 20 — node natural gas system as an example. In addition, the results indicate that HPIES can accurately reflect the flow of the system, and it has led to a cost reduction of $439,156. Meanwhile, the model demonstrates that multi-membrane hydrogen separation can reduce 46.861 MW and 38.359 MW, respectively, in a single day compared to the other two membranes. The variable efficiency model of the electrolyzer can reflect the trend of changes in the electrolyzer. © 2025 Hydrogen Energy Publications LLC

Keyword:

Compressed natural gas Dynamic programming Linear programming Natural gas transportation Peclet number Semiconductor doping

Community:

  • [ 1 ] [Zheng, Wendi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zheng, Wendi]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Wang, Jiateng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wang, Jiateng]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Shao, Zhenguo]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Shao, Zhenguo]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Yang, Yingsheng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 8 ] [Yang, Yingsheng]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China
  • [ 9 ] [Zhao, Yuhang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 10 ] [Zhao, Yuhang]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China
  • [ 11 ] [Lai, Zhenhua]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 12 ] [Lai, Zhenhua]Fujian Smart Electrical Engineering Technology Research Center, Fuzhou University, Fuzhou; 350108, China

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Source :

International Journal of Hydrogen Energy

ISSN: 0360-3199

Year: 2025

Volume: 106

Page: 700-711

8 . 1 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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