The cost of direct air capture and storage can be reduced via strategic deployment but is unlikely to fall below stated cost targets

被引:32
|
作者
Young, John [1 ]
McQueen, Noah [2 ]
Charalambous, Charithea [1 ]
Foteinis, Spyros [1 ]
Hawrot, Olivia [1 ]
Ojeda, Manuel [1 ]
Pilorge, Helene [2 ]
Andresen, John [1 ]
Psarras, Peter [2 ]
Renforth, Phil [1 ]
Garcia, Susana [1 ]
van der Spek, Mijndert [1 ]
机构
[1] Heriot Watt Univ, Res Ctr Carbon Solut, Edinburgh EH14 4AS, Scotland
[2] Univ Penn, Dept Chem & Biomol Engn, Philadelphia, PA 19104 USA
来源
ONE EARTH | 2023年 / 6卷 / 07期
基金
英国工程与自然科学研究理事会; 美国能源部;
关键词
CARBON CAPTURE; EXPERIENCE CURVES; LEARNING RATES; CO2; CAPTURE; INFRASTRUCTURE; TECHNOLOGIES; UNCERTAINTY; PERFORMANCE; GENERATION; RESOURCE;
D O I
10.1016/j.oneear.2023.06.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon dioxide removal (CDR) is necessary to minimize the impact of climate change by tackling hard-to -abate sectors and historical emissions. Direct air capture and storage (DACS) is an important CDR technol-ogy, but it remains unclear when and how DACS can be economically viable. Here, we use a bottom-up en-gineering-economic model together with top-down technological learning projections to calculate plant-level cost trajectories for four DACS technologies. Our analysis demonstrates that the costs of these technologies can plateau by 2050 at around $100-600 t-CO2-1 mainly via capital cost reduction through aggressive deploy-ment, but still exceed the optimistic targets defined by countries such as the US (i.e., $100 t-CO2-1). A further analysis of existing policy mechanisms indicates that strong, project-catered policy support will be required to create market opportunities, accelerate DACS scale-up and lower the costs further. Our work suggests that strategic DACS deployment and operation must be coupled with strong policies to minimise the cost of DACS and maximise the opportunity to make a planet-scale climate impact.
引用
收藏
页码:899 / 917
页数:20
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