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Advances in Carbon Capture and Use (CCU) Technologies: A Comprehensive Review and CO2 Mitigation Potential Analysis

Christiano Bruneli PeresInstitute of Science and Technology, São Paulo State University (UNESP) “Júlio de Mesquita Filho”, Sorocaba Campus, Av. Três de Março, 511, Alto da Boa Vista, Sorocaba 18087-180, São Paulo, BrazilPedro R. ResendeCEFT, Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, PortugalLeonel J. R. NunesEscola Superior Agrária, Instituto Politécnico de Viana do Castelo, Rua D. Mendo Afonso, 147, Refóios do Lima, 4990-706 Ponte de Lima, PortugalLeandro Cardoso de MoraisInstitute of Science and Technology, São Paulo State University (UNESP) “Júlio de Mesquita Filho”, Sorocaba Campus, Av. Três de Março, 511, Alto da Boa Vista, Sorocaba 18087-180, São Paulo, Brazil
2022en
ABI

Аннотация

One of society’s major current challenges is carbon dioxide emissions and their consequences. In this context, new technologies for carbon dioxide (CO2) capture have attracted much attention. One of these is carbon capture and utilization (CCU). This work focuses on the latest trends in a holistic approach to carbon dioxide capture and utilization. Absorption, adsorption, membranes, and chemical looping are considered for CO2 capture. Each CO2 capture technology is described, and its benefits and drawbacks are discussed. For the use of carbon dioxide, various possible applications of CCU are described, starting with the utilization of carbon dioxide in agriculture and proceeding to the conversion of CO2 into fuels (catalytic processes), chemicals (photocatalytic processes), polymers, and building supplies. For decades, carbon dioxide has been used in industrial processes, such as CO2-enhanced oil recovery, the food industry, organic compound production (such as urea), water treatment, and, therefore, the production of flame retardants and coolants. There also are several new CO2-utilization technologies at various stages of development and exploitation, such as electrochemical conversion to fuels, CO2-enhanced oil recovery, and supercritical CO2. At the end of this review, future opportunities are discussed regarding machine learning (ML) and life cycle assessment (LCA).

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