Abstract
In the process of accounting for product carbon footprints, data quality is a key requirement. To mitigate the impacts of uncertainty, dynamism, and coupling in carbon data during product carbon footprint accounting, a method based on multi-level dynamic allocation of carbon data between organizations and products is proposed. First, considering the complex distribution and merging relationships between organizational carbon emissions and product carbon footprints, an AAC (Accounting Allocation Correlation) model between the two is constructed. Then, through EIS (Enterprise Information System), carbon data is obtained, and a multi-level dynamic allocation method for carbon data, as well as a Monte Carlo-based method for merging carbon data, is proposed for the dynamic accounting of product carbon footprints. Finally, using high-voltage switchgear as a case study, the feasibility and effectiveness of the proposed method are validated.
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