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Modeling and simulation of the hydrogen blended gas-electricity integrated energy system and influence analysis of hydrogen blending modes

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  • Zhou, Dengji
  • Yan, Siyun
  • Huang, Dawen
  • Shao, Tiemin
  • Xiao, Wang
  • Hao, Jiarui
  • Wang, Chen
  • Yu, Tianqi

Abstract

Blending hydrogen into the natural gas network has a pivotal role in absorbing large-scale renewable energy sources and alleviating the supply-demand contradiction between the electricity and natural gas. This work focuses on the modeling and simulation of hydrogen blended gas-electricity integrated energy system and the influence analysis of hydrogen blending modes. The coupling characteristics between the power grid and natural gas network are fully considered in the modeling process. The simulation analyses are performed based on the real-scale natural gas network, renewable energy generation capacity and real user loads to compare the influence of hydrogen blending modes on the natural gas network pressure, flow rate and network loss. Results show that hydrogen blending in the upper line of natural gas network is superior to that in the lower line, and the concentrated hydrogen blending strategy is better than the dispersed one. Hydrogen blending behavior will certainly increase the loss of the natural gas network. The closer the hydrogen blending location is to the natural gas pipeline outlet, the smaller the natural gas network loss is, which can reduce the loss by about 36.5 %. The work provides a profitable reference for the hydrogen blended gas-electricity integrated energy system to absorb the surplus renewable energy sources.

Suggested Citation

  • Zhou, Dengji & Yan, Siyun & Huang, Dawen & Shao, Tiemin & Xiao, Wang & Hao, Jiarui & Wang, Chen & Yu, Tianqi, 2022. "Modeling and simulation of the hydrogen blended gas-electricity integrated energy system and influence analysis of hydrogen blending modes," Energy, Elsevier, vol. 239(PA).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pa:s0360544221018776
    DOI: 10.1016/j.energy.2021.121629
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    3. Wang, Yuwei & Shi, Lin & Song, Minghao & Jia, Mengyao & Li, Bingkang, 2024. "Evaluating the energy-exergy-economy-environment performance of the biomass-photovoltaic-hydrogen integrated energy system based on hybrid multi-criterion decision-making model," Renewable Energy, Elsevier, vol. 224(C).
    4. AlZahrani, Abdullah A. & Dincer, Ibrahim, 2022. "Assessment of a thin-electrolyte solid oxide cell for hydrogen production," Energy, Elsevier, vol. 243(C).
    5. Ye, Jianan & Xie, Min & Zhang, Shiping & Huang, Ying & Liu, Mingbo & Wang, Qiong, 2023. "Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system," Renewable Energy, Elsevier, vol. 211(C), pages 1024-1044.
    6. Li, Fei & Wang, Dong & Guo, Hengdao & Zhang, Jianhua, 2024. "Distributionally Robust Optimization for integrated energy system accounting for refinement utilization of hydrogen and ladder-type carbon trading mechanism," Applied Energy, Elsevier, vol. 367(C).
    7. Shang, Jingyi & Gao, Jinfeng & Jiang, Xin & Liu, Mingguang & Liu, Dunnan, 2023. "Optimal configuration of hybrid energy systems considering power to hydrogen and electricity-price prediction: A two-stage multi-objective bi-level framework," Energy, Elsevier, vol. 263(PF).
    8. Wang, L.L. & Xian, R.C. & Jiao, P.H. & Chen, J.J. & Chen, Y. & Liu, H.G., 2024. "Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading," Renewable Energy, Elsevier, vol. 228(C).
    9. Guan, Aobo & Zhou, Suyang & Gu, Wei & Liu, Zhong & Liu, Hengmen, 2022. "A novel dynamic simulation approach for Gas-Heat-Electric coupled system," Applied Energy, Elsevier, vol. 315(C).
    10. Wang, Sheng & Hui, Hongxun & Ding, Yi & Song, Yonghua, 2024. "Long-term reliability evaluation of integrated electricity and gas systems considering distributed hydrogen injections," Applied Energy, Elsevier, vol. 356(C).
    11. Qi, Shikun & Zhao, Wei & Qiu, Rui & Liu, Chunying & Li, Zhuochao & Lan, Hao & Liang, Yongtu, 2023. "Capacity allocation method of hydrogen-blending natural gas pipeline network based on bilevel optimization," Energy, Elsevier, vol. 285(C).

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