Research And Implementation Of Privacy-Preserving Carbon Emission Trading Mechanism

Carbon emission trading is an important market mechanism for my country to achieve the dual carbon goals.Since the launch of my country’s carbon trading pilot market,domestic scientific researchers have done a lot of research work on carbon trading mechanisms.However,the current research on my country’s carbon trading mechanisms There are still has deficiencies in the following aspects: 1)The main carbon trading models in my country include listed transactions and auction methods.These models generally only consider the income of buyers or sellers and fail to fully consider the income of both buyers and sellers.The trading market is not active enough,and in the current research on the carbon trading mechanism,there has never been a study that combines stable matching with carbon trading,and building a long-term stable supply and demand relationship of enterprises is in line with the government’s expected goal in the carbon trading market.2)The traditional carbon trading model is centralized management,which has the problem of high data management costs and easy tampering,and the inability to trace carbon data.Although the existing blockchain-based carbon trading model solves some of the problems in the traditional carbon trading model,it lacks consideration of the privacy and security issues of enterprises on the blockchain.Therefore,this thesis studies the above problems,and the specific research contents are as follows:(1)In view of problem 1,this thesis combines carbon trading with the VCG auction mechanism and improves the VCG auction mechanism by only considering the buyer’s income and failing to consider the seller’s income.Optimize the carbon trading mechanism,which fully considers the benefits of buyers and sellers,and proves that the alternately optimized carbon trading algorithm that maximizes the benefits of buyers and sellers must be able to converge;this thesis combines the stable matching mechanism with carbon trading for the first time and proposes a multi-pair based on stable matching The multicarbon trading mechanism is solved by using the improved delayed acceptance algorithm for the bilateral matching problem in carbon trading.Finally,referring to the real data of the carbon trading market,the measurement standard is set to complete the experiment and comparison,and the effectiveness of the many-to-many carbon trading algorithm based on stable matching is verified.(2)To solve problem 2,this thesis proposes a blockchain carbon trading model that considers the privacy and security of enterprises based on the blockchain-based carbon trading model and completes the components of the model,the workflow mechanism,and the blockchain The design of enterprise privacy security scheme.Through the analysis,it is concluded that enterprise privacy security under this mode can be guaranteed.(3)Finally,the blockchain carbon trading model considering the privacy and security of enterprises will be combined with the many-to-many carbon trading mechanism based on stable matching to realize a secure blockchain carbon trading system based on many-tomany stable matching.The system can ensure that the privacy and security of enterprises are protected during the carbon trading process,the matching results are stable,and the carbon data is permanently stored on the blockchain,which cannot be tampered with,ensuring data traceability.