
Research Article
Research on Accurate Matching Model of New Energy Supply and Demand Empowered by Blockchain
@ARTICLE{10.4108/ew.12895, author={Chuang Li and Junshi Zhang and Lei Zhou and Lili Li and Jiangtao Li and Guomin Li}, title={Research on Accurate Matching Model of New Energy Supply and Demand Empowered by Blockchain}, journal={EAI Endorsed Transactions on Energy Web}, volume={13}, number={1}, publisher={EAI}, journal_a={EW}, year={2026}, month={5}, keywords={blockchain, green Power, supply-demand matching, accurate model, simulation verification}, doi={10.4108/ew.12895} }- Chuang Li
Junshi Zhang
Lei Zhou
Lili Li
Jiangtao Li
Guomin Li
Year: 2026
Research on Accurate Matching Model of New Energy Supply and Demand Empowered by Blockchain
EW
EAI
DOI: 10.4108/ew.12895
Abstract
Under the guidance of the "dual carbon" goals, green electricity has become the core carrier of the new energy transition. However, issues such as mismatched supply and demand of green electricity, information asymmetry, and lack of trust have seriously restricted the efficient development of green electricity marketization. Blockchain technology, with its core features of distributed ledger, immutability, and smart contracts, provides technical support for addressing the pain points in green electricity supply - demand matching. This paper constructs an accurate matching model for green electricity supply and demand based on blockchain, clarifies the model's technical architecture, participating entities, and operation process, designs a full - process collaboration mechanism, and verifies the model's effectiveness through simulation experiments. The results show that this model can increase the accuracy of green electricity supply - demand matching to over 92%, which is 15 - 20 percentage points higher than the traditional model; the transaction cycle is shortened to less than 7 days, with an efficiency improvement of over 60%; at the same time, it reduces the trust verification cost by more than 30%, significantly strengthens the trust relationship between supply and demand parties, optimizes the allocation of green electricity resources, and provides a technical path and practical reference for the market - oriented collaborative development of green electricity.
Copyright © 2026 Chuang Li et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.


