炼油厂
改装
碳捕获和储存(时间表)
环境科学
炼油厂
废物管理
减缓气候变化
精炼(冶金)
全球变暖
温室气体
自然资源经济学
气候变化
匹配(统计)
化石燃料
可再生能源
碳纤维
甲烷化
生物量(生态学)
气候政策
环境工程
碳价格
具有碳捕获和储存功能的生物能源
甲烷
过程集成
工程类
作者
Shijun Ma,Jing Meng,Tianyang Lei,Kailan Tian,Xi Liang,Liang Jing,Hassan El-Houjeiri,Diling Liang,Peipei Chen,Dabo Guan
出处
期刊:
[Springer Science+Business Media]
日期:2026-05-15
卷期号:3 (5): 298-310
标识
DOI:10.1038/s44286-026-00394-z
摘要
Abstract Oil refining is a major industrial CO 2 emitter and requires rapid decarbonization to align with climate goals. While decarbonization has been widely discussed at national and global levels, successful implementation relies on mitigation options that are technically feasible and economically competitive at individual refineries. Here we develop a plant-level decarbonization pathway model, coupling refinery-specific operating characteristics with dynamic costs of low-carbon technologies. The global refining sector, especially deep conversion refineries, could be substantially decarbonized through carbon capture and storage and clean hydrogen. Regional differences in refinery age and configuration lead to heterogeneous decarbonization pathways. In China, over 60% of mitigation costs in deep-conversion refineries are associated with carbon capture and storage at furnaces and boilers, whereas in the USA, approximately 40% arise from replacing steam methane reformers with biomass gasification for hydrogen production. Combining shorter retrofitting cycles with bio-crude oil adoption would further increase cumulative mitigation and enable negative CO 2 emissions. Our findings identify feasible, cost-effective plant-level mitigation strategies and provide actionable evidence for accelerating climate mitigation.
科研通智能强力驱动
Strongly Powered by AbleSci AI