Zhao, E.; Chen, J.; Lan, J.; Liu, L. Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights. Energies2024, 17, 617.
Zhao, E.; Chen, J.; Lan, J.; Liu, L. Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights. Energies 2024, 17, 617.
Zhao, E.; Chen, J.; Lan, J.; Liu, L. Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights. Energies2024, 17, 617.
Zhao, E.; Chen, J.; Lan, J.; Liu, L. Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights. Energies 2024, 17, 617.
Abstract
As the international community attaches importance to environmental and climate issues, carbon dioxide emissions in various countries have been subject to constraints and limits. Carbon trading market, as a market tool to reduce greenhouse gas emissions, has gone through a development process from a pilot carbon market to a national carbon market in China. At present, the industries included in the national carbon market are mainly the electric power industry, and the carbon emissions of the electric power industry account for about 40% of the national carbon emissions. According to the construction history of foreign carbon markets, China's future carbon quota allocation will gradually transition from free allocation to auction allocation,the auction mechanism will bring a heavy economic burden to the electric power industry, especially the thermal power generation industry. Therefore, this study takes Guangdong Province as an example to optimize the power generation mix with the objective of minimizing the total economic cost after the innovative introduction of the carbon quota auction mechanism and constructs an optimization model of the power generation mix based on the auction ratio by comprehensively applying the system dynamics model and the multi-objective linear programming model and systematically researches the power generation structure under different auction ratios with the time scale of months and quantitatively evaluates the economic inputs needed to reduce the greenhouse gas emissions.The results of the study show that after comprehensively comparing the total economic cost, renewable energy development and carbon emissions, it is the most scientific and reasonable to set the auction ratio of carbon allowances at 20%, which achieves the best level of economic and environmental benefits.
Keywords
carbon quota auction; power generation industry; renewable energy generation; total economic cost
Subject
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
