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Green Power Consumption Digital Identification System Based on Blockchain Technology

Author

Listed:
  • Gehui Li

    (School of Management, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jing Yang

    (State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China)

  • Tao Yu

    (State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China)

  • Fuquan Yang

    (School of Software Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xiaoni Lu

    (School of Management, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhuyu Shi

    (State Grid Digital Technology Holding Co., Ltd., Beijing 100053, China)

Abstract

In China, the promulgation of a green power identification system has gradually shifted from electricity power generation to consumption. However, there is no mature digital identification system for green power consumption enterprises. Exploiting the open, transparent, and immutable characteristics of blockchains, this study establishes a digital identification system for green power consumption based on blockchain technology. This system uses expert scoring and the entropy weight method as the evaluation algorithm for the green power consumption chain, issues non-fungible tokens as digital identification for consumption enterprises, and realizes the automatic generation of identification through smart contracts. These functions guarantee the credibility of the certification process and the uniqueness of the generated identification. The results of the experiments show that, in the case of multi-user concurrent requests, the number of concurrent users that the system could handle at optimal processing efficiency was 500, and block generation was stable. The proposed system has high practicability and stability.

Suggested Citation

  • Gehui Li & Jing Yang & Tao Yu & Fuquan Yang & Xiaoni Lu & Zhuyu Shi, 2023. "Green Power Consumption Digital Identification System Based on Blockchain Technology," Sustainability, MDPI, vol. 15(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:12870-:d:1225190
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    References listed on IDEAS

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    2. Dowling, Michael, 2022. "Is non-fungible token pricing driven by cryptocurrencies?," Finance Research Letters, Elsevier, vol. 44(C).
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