Buying down the Cost of Direct Air Capture

被引:52
|
作者
Lackner, Klaus S. [1 ]
Azarabadi, Habib [1 ]
机构
[1] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA
关键词
CARBON-DIOXIDE; LEARNING-CURVE; FUTURE COST; CO2; TECHNOLOGY; ELECTRICITY; SCALE; RATES;
D O I
10.1021/acs.iecr.0c04839
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Direct air capture (DAC) shows exceptional promise for carbon dioxide removal on the scale required to fulfill the Paris Agreement. Even though planetary limitations do not constrain the scale of DAC, the currently high cost puts its feasibility in question. By observing cost reduction pathways of similar technologies, this paper explores the cost reduction opportunities that result from learning-by-doing. We developed an analytical buy-down model to investigate what it would take to lower the cost of DAC to $100/ton CO2. Our goal is not to accurately predict future costs, but our analysis demonstrates that if DAC follows a path similar to that of comparable, successful technologies, a capital investment of several hundred million dollars could buy down the cost of DAC. This buy-down effort at a relatively low cost will quantify the learning potential of DAC and show whether its costs can be reduced (like solar photovoltaic modules) or whether despite the investment it remains expensive (like nuclear power generation).
引用
收藏
页码:8196 / 8208
页数:13
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