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Two-way dynamic pricing mechanism of hydrogen filling stations in electric-hydrogen coupling system enhanced by blockchain

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  • Wang, Longze
  • Jiao, Shucen
  • Xie, Yu
  • Xia, Shiwei
  • Zhang, Delong
  • Zhang, Yan
  • Li, Meicheng

Abstract

Hydrogen filling stations can provide hydrogen by consuming renewable electricity, and are an important part of the electric-hydrogen coupling system. An appropriate pricing mechanism for renewable-dominated hydrogen stations is urgently required. In this paper, we propose a dynamic pricing mechanism for such hydrogen stations enhanced by blockchain technology. First, a two-way decentralized trading mode is constructed in the electricity/hydrogen energy markets. Second, a series of propensity factors are integrated into the two-way pricing mechanism, which is a mathematical characterization of various real-time information in the system. Blockchain cross-chain interoperability technology can ensure seamless and effective performance of the proposed pricing mechanism. A case study is presented, and our simulation results show that our method has obvious advantages in improving trading profit and renewable energy utilization efficiency over the method of a constant energy price. Finally, we developed a double-chain blockchain decentralized application to illustrate how the system can implement a two-way dynamic pricing mechanism in an electric-hydrogen coupling system.

Suggested Citation

  • Wang, Longze & Jiao, Shucen & Xie, Yu & Xia, Shiwei & Zhang, Delong & Zhang, Yan & Li, Meicheng, 2022. "Two-way dynamic pricing mechanism of hydrogen filling stations in electric-hydrogen coupling system enhanced by blockchain," Energy, Elsevier, vol. 239(PC).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221024427
    DOI: 10.1016/j.energy.2021.122194
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    Cited by:

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    2. Fang, Xiaolun & Wang, Yubin & Dong, Wei & Yang, Qiang & Sun, Siyang, 2023. "Optimal energy management of multiple electricity-hydrogen integrated charging stations," Energy, Elsevier, vol. 262(PB).
    3. Yi Guo & Qi Wang & Maofei Geng & Xueyuan Peng & Jianmei Feng, 2023. "Effects of Liquid Density on the Gas-Liquid Interaction of the Ionic Liquid Compressor for Hydrogen Storage," Energies, MDPI, vol. 16(7), pages 1-20, April.
    4. Ahmed Fathy & Hegazy Rezk & Dalia Yousri & Abdullah G. Alharbi & Sulaiman Alshammari & Yahia B. Hassan, 2023. "Maximizing Bio-Hydrogen Production from an Innovative Microbial Electrolysis Cell Using Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

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