To achieve zero net emissions as soon as possible and actively mitigate climate change, it is necessary to make more revolutionary breakthroughs in both carbon emission reduction and carbon sink expansion. Climate change mitigation requires a variety of emission reduction measures, but those different measures may have large differences in both cost and effectiveness. Existing carbon markets have provided different commodities and incentives for different emission reduction behaviors. However, unified analysis frameworks and decision support methods are too scarce to answer questions like ‘how to achieve differentiated incentives’, ‘how to coordinate the trading between different commodities’. This paper re-examines carbon market regulatory mechanism design from the perspective of Cyber-Physical-Social Systems in Energy. Based on a detailed analysis of the multiple attributes and interaction mechanisms of carbon emission reduction behaviors, the interaction logics between different commodities in the carbon market are re-designed: Each commodity market is regulated according to its respective market rules. Different commodity markets are coordinated by multiple equivalents. Special attention are paid to the multiple benefits of carbon emission reduction and carbon offset behavior, enabling regulators to put differentiated preferences on different behaviors, and avoiding market shocks and disturbance caused by rigid market links, discrete regulation and multi-end regulation. Sandbox derivation based on hybrid simulation can be utilized to provide decision support for market design regulation.
XUE Yusheng,HUANG Jie,WANG Fang,et al.Carbon Market Framework Design based on Classified Regulation and Equivalent Coordination[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20191008004.