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Assessment and prediction of cost for direct air capture (DAC) andits influencing factors

2024 No. 10
365
142
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Authors:
ZHOU Aiguo
YU Xiaojie
HE Hongxu
XIA Changyou
SUN Yumeng
LIU Muxin
LIANG Xi
Unit:
China National Petroleum Corporation Science and Technology Association
Guangdong Southern Carbon Capture andStorage Industry Centre
China National Petroleum Corporation\'s Oil and Gas Climate Initiative (OGCI) WorkingSecretariat
University College London
Abstract:

Direct air capture (DAC) technology, which captures carbon dioxide directly from the atmosphere, is a crucial tool incombating climate change. To quantitatively assess and predict the cost of DAC technology in China,this paper employs a top-downengineering economic analysis approach to develop a DAC cost analysis and prediction model. The study examines two types of DACtechnologies:liquid absorption DAC (L-DAC) and solid adsorption DAC (S-DAC). The costs of DAC under different scenarios ofdeployment scale,technological pathways,and energy types are investigated. The results indicate that the future deployment scale is a keyfactor influencing DAC costs. By 2060,if the DAC deployment in China is limited to 30 million tons of CO2 per year,the cost of carbonremoval for L-DAC and S-DAC will range from 1037 to 1838 yuan/t and 869 to 922 yuan/t,respectively. If the deployment scale reaches300 million tons of CO2 per year,the costs will decrease to 729-1237 yuan/t and 543-580 yuan/t,respectively. With a deployment scale of600 million tons of CO2 per year,the costs will further drop to 655-1102 yuan/t and 472-505 yuan/t,respectively. Energy-related carbonemissions reduce the efficiency of CO2 removal from the air by DAC,leading to an increase in the carbon removal cost. When using non-fossil energy sources such as nuclear,photovoltaic,wind,and hydro power,the DAC carbon removal cost slightly increases over the capture cost; however,when using grid electricity or purchased heat,the increase is more significant. By 2060,photovoltaic energy supplypresents a more cost-effective option compared to other energy sources. Based on these findings,it is recommended to implement large-scale DAC demonstration projects as soon as possible and gradually expand the application scale of DAC to reduce costs througheconomies of scale and engineering optimization. It is also advised that DAC plants select non-fossil energy sources according to localconditions to reduce carbon removal costs.

Keywords:
direct air capture
cost
cost prediction model
DAC
Citation format:
周爱国(1963—),男,江西彭泽人,教授级高级工程师。E-mail:zhouag@cnpc.com.cn
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Citation format:
ZHOU Aiguo, YU Xiaojie, HE Hongxu, et al. Assessment and prediction of cost for direct air capture (DAC) and its influencing factors[J].Clean Coal Technology,2024,30(10):186−198.

About Journal

  • Executive director

    China Coal Science and Industry Group Co., Ltd

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    Coal Science Research Institute Co., Ltd
    Coal Industry Clean Coal Engineering
    Technology Research Center

  • Editor in Chief

    XIE Qiang

  • Vice Editor-in-Chief

    YU Chang
    SHI Yixiang
    ZHAO Yongchun
    DUAN Linbo
    CAO Jingpei
    ZENG Jie

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