LAPSE:2023.31144
Published Article
LAPSE:2023.31144
Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology
Xiangyang Yu, Xiaojing Wang
April 18, 2023
With the realization of the “dual carbon” goal, urban public transport with an increasing proportion of new energy vehicles will become the key subject to achieve the carbon emission reduction goal. Under the new background of deep coupling between transport networks and power grids, it is of great significance to study the carbon-trading mode of urban public transport participation in promoting the development of new energy vehicles and improving the operating efficiency and low-carbon level of the “energy-transport” system. In this paper, based on blockchain technology, a framework for urban public transportation networks to participate in carbon trading is established to solve the current problems of urban public transportation’s insufficient motivation to reduce emissions, lax operation strategy and lack of carbon-trading matching mechanisms. Finally, Hyperledger Fabric was selected as the simulation platform, and we simulated the model through the calculation example. The results show that the proposed scheme can effectively improve the operating efficiency of urban public transport and reduce its operating costs and carbon emissions. In addition, policy recommendations on carbon price, carbon quota and penalties are proposed to improve the institutional system of the carbon-trading market.
Keywords
blockchain technology, carbon trading, operation optimization, power grid, traffic network, transaction-matching mechanism
Suggested Citation
Yu X, Wang X. Research on Carbon-Trading Model of Urban Public Transport Based on Blockchain Technology. (2023). LAPSE:2023.31144
Author Affiliations
Yu X: School of Electrical Engineering, Xinjiang University, Urumqi 830017, China
Wang X: School of Electrical Engineering, Xinjiang University, Urumqi 830017, China
Journal Name
Energies
Volume
16
Issue
6
First Page
2606
Year
2023
Publication Date
2023-03-09
Published Version
ISSN
1996-1073
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PII: en16062606, Publication Type: Journal Article
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doi:10.3390/en16062606
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Apr 18, 2023
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