The carbon emission factor of the power grid is a key data indicator for measuring the carbon emission level on the user side. Currently, the carbon emission factor of the power grid is not sufficient to accurately express the regional carbon emission level, and especially cannot accurately reflect the regional new energy consumption level, which affects user confidence in emission reduction and the accuracy of carbon emission quota issuance. Therefore, this article utilizes blockchain technology and carbon emission flow theory to realize the impact of user-side self-generated and self-used photovoltaics (PV) on carbon emission factors. We have constructed a residual power grid correction model, designed a blockchain intelligent terminal module and functional requirements, ensured the correctness of the model and results from the source, solved the problem of data tampering and insufficient data credibility generated by terminal devices at the source, and ultimately helped achieve the dual carbon goal.
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Guo et al. (2024) studied this question.
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