低碳能源转型多代理网络在碳交易计划下演变
Zijie Wei1, Heng Wang1, Tao Fang2
1Longyuan (Beijing) Carbon Asset Management Technology Co., Ltd, Xicheng, Beijing, China.
PloS one
|April 25, 2024
概括
实现碳中和需要能源企业采取低碳战略. 社会学习显著加快了这一转型,改善了市场稳定性和碳交易中所有利益相关者的可持续性.
科学领域:
- 能源经济学 能源经济学
- 环境政策 环境政策
- 游戏理论 游戏理论
背景情况:
- 碳中和的全球要求需要向低碳能源系统过渡.
- 在这种低碳能源转型期间,能源企业面临着巨大的成本挑战.
- 碳交易框架正在成为管理排放和激励变革的关键机制.
研究的目的:
- 开发一种游戏模型,分析发电厂,高能企业和消费者在碳交易系统中的低碳战略演变.
- 调查社会学习对优化各种市场参与者的效用的影响.
- 为有效的碳交易政策设计提供见解,并支持能源企业的低碳转型.
主要方法:
- 开发一个游戏模型,结合发电机,高能企业和消费者.
- 在碳交易框架内分析战略稳定性.
- 进行模拟实验,以评估各种参数对低碳转型的影响.
主要成果:
- 较高的碳配额降低了发电厂的转型意愿;高能企业和消费者不受影响.
- 来自高能耗企业的低碳产品的价格上增加了各方转型动机.
- 增加的绿色保费增加了收入,但受到政策和碳定价的限制.
- 碳排放量的增加对所有利益相关者的收入和效用产生了负面影响.
- 增强的社会学习加速了低碳战略的采用,促进了市场平衡,稳定和可持续性.
结论:
- 社会学习是加速能源市场低碳转型的强大推动力.
- 碳交易政策必须精心设计,以平衡所有利益相关者的激励和约束.
- 该研究为导航低碳能源转型和碳市场机制的复杂性提供了有价值的决策支持.
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