Design of dynamic carbon emission reduction effect evaluation model for the whole life cycle of power grid

Abstract

Aiming at the problem that the power load demand and energy distribution are not balanced, leading to the continuous growth of carbon emissions and affecting the assessment effect of carbon emission reduction, a dynamic carbon emission reduction effect evaluation model for the whole life cycle of power grid is designed. The whole life cycle of power grid is analyzed and divided into fuel extraction cycle, power grid production cycle and waste recovery cycle. The wavelet denoising method is used to eliminate the noise in the carbon emission data, calculate the carbon emissions in different periods according to the carbon emission factor and the corresponding usage, determine the carbon emission reduction and carbon emission reduction rate based on the carbon emissions, and build a dynamic carbon emission reduction effect evaluation model based on this indicator, use the data collection part to collect the carbon emission data in the whole life cycle of the power grid in real time, and store it in the dynamic database, the evaluation results are displayed in the form of Web pages. The experimental results show that the carbon emission reduction and carbon emission reduction rate of the design model after carbon emission reduction are 1.1976 million tons and 16.48% respectively, and the evaluation accuracy is up to 98.19%, and the error rate under different noises is less than 0.18%, which proves that the model has good evaluation effect.