Green Power Consumption Digital Identification System Based on Blockchain Technology

Gehui Li, Jing Yang, Tao Yu, Fuquan Yang, Xiaoni Lu and Zhuyu Shi ()
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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

Sustainability, 2023, vol. 15, issue 17, 1-18

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.

Keywords: blockchain systems; digital identification; green power consumption; NFT (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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