煤
灵活性(工程)
碳捕获和储存(时间表)
环境经济学
环境科学
碳纤维
自然资源经济学
生物量(生态学)
还原(数学)
洁净煤
中国
能量转换
业务
环境保护
废物管理
计算机科学
工程类
经济
气候变化
生态学
法学
复合数
生物
政治学
替代医学
数学
算法
病理
几何学
管理
灵丹妙药
医学
作者
Rui Wang,Wenjia Cai,Ryna Cui,Lin Huang,Weidong Ma,Binbin Qi,Jia Zhang,Jiang Bian,Haoran Li,Shihui Zhang,Jianxiang Shen,Xian Zhang,Jiutian Zhang,Wei Li,Le Yu,Ning Zhang,Can Wang
标识
DOI:10.1038/s41467-024-55332-5
摘要
The same cumulative carbon emission reduction target can correspond to multiple emission reduction pathways. This study explores how different coal power transition pathways with the same cumulative emissions reductions impact the transition costs, by assessing the dynamic transition processes for coal plants adopting multiple mitigation technologies concurrently or sequentially, such as flexibility operation, biomass and coal co-firing, carbon capture and storage, and compulsory retirement. We develop a plant-level dynamic optimization model and apply it to China's 4200+ coal plants. We find that under deep decarbonization, the majority of Chinese coal plants retrofit with multiple technologies to reduce emissions and retire naturally at lower costs while contributing to grid stability. Optimizing the pathway can potentially save over 700 billion U.S. Dollars for achieving the same target or increase cumulative emissions reduction from 30% to 50% at no additional cost. This analysis can help inform a cost-effective coal phase-out under China's carbon neutrality. A well-designed national coal phase-out pathway in China that considers diverse technology portfolios and plant-level sequential decision-making processes can save over 700 billion dollars and elevate mitigation potential.
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