China’s Energy Structure Optimization Based on Data Mining from the Perspective of Circular Economy: Take Qujing City as an Example

Abstract

While China’s economic strength has steadily improved, China’s environment and energy development have also attracted much attention. On the basis of previous research results, this paper constructs the ESO (energy structure optimization) evaluation index system from the perspective of CE (circular economy). In data mining, correlation analysis is used to identify the factors that affect ESO. The carbon pinch method is used to identify the bottleneck of energy consumption, and the amount of clean energy that meets the carbon emission limit is determined by energy substitution. The research shows that ESO can only be realized under certain incentives and constraints under the carbon emission limit, and the key is to reduce the proportion of high-carbon energy. In the next 20 years of Qujing’s energy structure, primary power will enter a stage of rapid development, accounting for 5% of the total energy consumption by 2022. The development of CE is conducive to overcoming resource bottlenecks and reducing energy risks in Qujing, so the development of CE is the only way for Qujing to develop ESO.