| Title |
Green Power Consumption Digital Identification System Based on Blockchain Technology |
| ID_Doc |
62103 |
| Authors |
Li, GH; Yang, J; Yu, T; Yang, FQ; Lu, XN; Shi, ZY |
| Title |
Green Power Consumption Digital Identification System Based on Blockchain Technology |
| Year |
2023 |
| Published |
Sustainability, 15, 17 |
| DOI |
10.3390/su151712870 |
| 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. |
| Author Keywords |
blockchain systems; digital identification; green power consumption; NFT |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:001061104200001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/15/17/12870/pdf?version=1692956796
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