Carbon emission coefficient prediction method and device

By establishing an evaluation matrix and applying XOR operations to calculate the carbon emission coefficient, the problem of lack of regional differences in traditional carbon emission allocation methods is solved, and a more fair and accurate allocation of carbon emission indicators is achieved.

CN113961877BActive Publication Date: 2025-03-18INST POLICY & MANAGEMENT CHINESE ACADEMY SCI
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Patent Information

Application Number
CN202111221671.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-10-20
Publication Date
2025-03-18
Estimated Expiration
2041-10-20

AI Technical Summary

Technical Problem

The traditional distribution of carbon emissions lacks consideration of the degree of development of different regions, resulting in unfair distribution of carbon emission indicators.

Method used

By obtaining the carbon dioxide concentration and temperature data of each region in each period, an evaluation matrix is ​​established, and a correction factor is applied to the specific columns of the matrix, and finally the carbon emission coefficients of each region are calculated by the matrix product to more fairly allocate the carbon emission indicators.

Benefits of technology

This method can more accurately reflect the carbon emissions situation in each region, provide reference standards that are closer to the actual situation, and promote fairness in carbon emission distribution.

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Abstract

The present invention relates to a carbon emission coefficient prediction method and device. After obtaining the carbon dioxide concentration and temperature of each region in each period, an evaluation matrix of each region is established according to the carbon dioxide concentration and temperature of the same region in different periods. The first correction factor is XORed on the selected bits of the main selected column of the evaluation matrix, and the second correction factor is XORed on the selected bits of the secondary selected column of the evaluation matrix. Finally, the product of the XOR-calculated evaluation matrix and the unit matrix is ​​multiplied to determine the carbon emission coefficient of the region. The carbon emission coefficient of each region is quantified according to the carbon dioxide concentration and temperature of the historical records, and the ratio allocation of the carbon emission index is performed by comparing the carbon emission coefficients of each region. Based on this, through the calculation method of the above embodiment, the period, carbon dioxide concentration and temperature of each region are connected, and the differences of each region are comprehensively reflected, providing a reference standard for carbon emission allocation that is closer to the actual situation of each region.
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