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Low-carbon energy transition multi-agent network evolutionary under carbon trading scheme
Zijie Wei1, Heng Wang1, Tao Fang2
1Longyuan (Beijing) Carbon Asset Management Technology Co., Ltd, Xicheng, Beijing, China.
Plos One
|April 25, 2024
Summary
Achieving carbon neutrality requires energy businesses to adopt low-carbon strategies. Social learning significantly accelerates this transition, improving market stability and sustainability for all stakeholders involved in carbon trading.
Area of Science:
- Energy Economics
- Environmental Policy
- Game Theory
Background:
- The global imperative for carbon neutrality necessitates a transition to low-carbon energy systems.
- Energy businesses face substantial cost challenges during this low-carbon energy transition.
- Carbon trading frameworks are emerging as critical mechanisms for managing emissions and incentivizing change.
Purpose of the Study:
- To develop a game model analyzing low-carbon strategy evolution among power generators, high-energy businesses, and consumers within a carbon trading system.
- To investigate the influence of social learning on the optimization of utility for various market participants.
- To provide insights for effective carbon trading policy design and support the low-carbon transition of energy enterprises.
Main Methods:
- Development of a game model incorporating power generators, high-energy businesses, and consumers.
- Analysis of strategy stability within the carbon trading framework.
- Conducting simulation experiments to evaluate the impact of various parameters on low-carbon transitions.
Main Results:
- Higher carbon quotas decrease power generators' transition willingness; high-energy businesses and consumers are unaffected.
- Increased prices for low-carbon products from high-energy businesses enhance transition motivation for all parties.
- Elevated green premiums boost revenue but are limited by policy and carbon pricing.
- Rising carbon emissions negatively affect revenue and utility for all stakeholders.
- Enhanced social learning accelerates the adoption of low-carbon strategies, promoting market equilibrium, stability, and sustainability.
Conclusions:
- Social learning is a powerful driver for accelerating the low-carbon transition in energy markets.
- Carbon trading policies must be carefully designed to balance incentives and constraints for all stakeholders.
- The study offers valuable decision support for navigating the complexities of low-carbon energy transitions and carbon market mechanisms.
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