Research on the Impact of Industrial enterprises Participation in the Peak shaving Auxiliary Service Market on Carbon Dioxide Emission

Abstract

With the advancement of the construction of new power systems, industrial enterprises participation in the peak shaving auxiliary service market is increasing. This paper proposes a model to estimate the impact of industrial enterprises participation in the peak shaving auxiliary service market on carbon dioxide emission, and designs a blockchain-based platform architecture to ensure the credibility of transaction of the aggregation trade. The simulation results indicate that most enterprises in the magnesia park use electricity during normal and valley hours. Transferring electricity consumption from peak hours to flat and low periods will reduce carbon dioxide emissions. Moreover, a blockchain-based aggregation platform architecture is an attractive measure too. Besides, the carbon dioxide emission factor of the power grid and the production proportion of primary energy show an opposite trend.