偏移量(计算机科学)
电气化
环境科学
环境经济学
温室气体
软件部署
自然资源经济学
资源(消歧)
可再生能源
零排放
净能量
生物量(生态学)
限制
计算机科学
电
经济
废物管理
工程类
生态学
电气工程
动物科学
操作系统
生物
机械工程
程序设计语言
计算机网络
作者
Bryan K. Mignone,Leon Clarke,Jae Edmonds,Angelo Gurgel,Howard J. Herzog,Jeremiah X. Johnson,Dharik S. Mallapragada,Haewon McJeon,Jennifer Morris,Patrick O’Rourke,Sergey Paltsev,Steven K. Rose,Daniel Steinberg,Aranya Venkatesh
标识
DOI:10.1038/s41467-024-47059-0
摘要
Energy transition scenarios are characterized by increasing electrification and improving efficiency of energy end uses, rapid decarbonization of the electric power sector, and deployment of carbon dioxide removal (CDR) technologies to offset remaining emissions. Although hydrocarbon fuels typically decline in such scenarios, significant volumes remain in many scenarios even at the time of net-zero emissions. While scenarios rely on different approaches for decarbonizing remaining fuels, the underlying drivers for these differences are unclear. Here we develop several illustrative net-zero systems in a simple structural energy model and show that, for a given set of final energy demands, assumptions about the use of biomass and CO2 sequestration drive key differences in how emissions from remaining fuels are mitigated. Limiting one resource may increase reliance on another, implying that decisions about using or restricting resources in pursuit of net-zero objectives could have significant tradeoffs that will need to be evaluated and managed.
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