1. An overview of technologies for capturing, storing, and utilizing carbon dioxide: Technology readiness, large-scale demonstration, and cost.
- Author
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Baskaran, Divya, Saravanan, Panchamoorthy, Nagarajan, L., and Byun, Hun-Soo
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CHEMICAL-looping combustion , *CARBON dioxide , *TECHNOLOGY assessment , *MACHINE learning , *CARBON emissions , *CARBON offsetting , *GEOLOGICAL carbon sequestration - Abstract
[Display omitted] • Carbon capture technologies are overviewed focusing on development and potential. • The significance of geological storage and seepage monitoring was reviewed. • Pathway of Carbon utilization in different application fields was investigated. • Cost estimation of CCUS facilities is discussed based on the CO 2 capacity. • Major improvements, optimization, and efficiency on larger-scale were explored. Concerns are growing regarding the impact of human-caused CO 2 emissions on global warming, which is directly linked to climate change. To achieve carbon neutrality, we must prioritize the development of technologies that capture, store, and use CO 2. This review provides an updated overview of the technologies for carbon capture, storage, and utilization (CCUS). It focuses on technology readiness, cost analysis, and large-scale facility demonstrations. A deep insight has been conducted into the state-of-the-art of pre-, oxy-fuel, post-, and chemical looping combustion technologies. Geological storage and dynamic models as well as seepage investigations for storing captured carbon are detailed. Furthermore, we explained how waste CO 2 can be utilized in industrial processes and discussed the current development stages of these technologies. We also analyzed the stages of various carbon capture technologies based on their technology readiness levels. While reutilizing emitted CO 2 can contribute to a circular economy, some technologies may not be economically profitable. The potential challenges and obstacles associated with implementing CCUS facilities on a larger scale are addressed. The review confirms that the cost of CO 2 utilization is higher than the capture cost. For the first time, we elucidated the environmental impact of CCUS, and the risks and safety associated with the transportation and storage of CO 2. Machine learning algorithms are crucial in CCUS research, but they require appropriate selection and combination for optimal results. This review is a valuable reference point for recent advances in carbon capture and will help understand the CCUS process and future needs. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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