Prediction and evaluation method, device and readable storage medium of electric carbon factor

Abstract

The present invention provides a method, device, and readable storage medium for predicting and evaluating electric carbon factors, including: classifying power generation data based on equipment tags corresponding to power generation equipment to obtain clean energy data sets and non-clean energy data sets; obtaining clean energy data sets The first carbon conversion information of each power generation data in the data set is processed to obtain the first carbon emission data corresponding to the clean energy data set; the second carbon conversion information, non-clean energy The power generation data in the data set is processed to obtain the second carbon emission data corresponding to the non-clean energy set; based on the first carbon emission data, the second carbon emission data, carbon neutral data and power generation data, the first prediction and evaluation of the electric carbon factor is obtained value. The technical solution provided by the present invention can fully consider different power generation modes and different carbon neutral behaviors of different power generation equipment in each power grid area, and obtain more accurate and objective electric carbon factors in the power grid area.

Description

technical field [0001] The invention relates to the technical field of electric carbon factors, in particular to a method, device and readable storage medium for predicting and evaluating electric carbon factors. Background technique [0002] The electricity carbon factor refers to the carbon emission corresponding to every kilowatt-hour of electricity consumed. Grid electricity carbon factor refers to the carbon emission level per unit of electricity in the area covered by the grid. The higher the proportion of thermal power in the region, the greater the electrical carbon factor; the higher the proportion of renewable energy, the smaller the electrical carbon factor. At present, the carbon factor of regional power grids adopted in my country is calculated based on weighted data such as power generation, fuel consumption for power generation, and average low calorific value of fuel for power generation in 2012. With the great optimization of China's power generation struc...

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Problems solved by technology

With the great optimization of China's power generation structure and the significant increase in the proportion of renewable energy, the electricity carbon factor in 2012 can no longer meet the current needs of formulating a carbon peak and carbon neutral roadmap, nor can it meet the carbon emission requirements of major industrial enterprises. The need for accurate accounting and real-time monitoring

[0003] Due to the different objective geographical conditions of different power grid regions, there will be certain differences in the way of generating electric energy in each power grid region, and the conditions for carbon neutralization through tree planting and other methods are also different. The electric carbon factor prediction method of the prior art , did not fully consider the objective conditions of each grid region and the carbon neutral behavior of the region, resulting in inaccurate calculation of the electricity carbon factor

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