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A Review of Carbon Capture and Valorization Technologies

Author

Listed:
  • Jiban Podder

    (Department of Physics, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
    Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada)

  • Biswa R. Patra

    (Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada)

  • Falguni Pattnaik

    (Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada)

  • Sonil Nanda

    (Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada)

  • Ajay K. Dalai

    (Department of Chemical and Biological Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada)

Abstract

Global fossil fuel consumption has induced emissions of anthropogenic carbon dioxide (CO 2 ), which has emanated global warming. Significant levels of CO 2 are released continually into the atmosphere from the extraction of fossil fuels to their processing and combustion for heat and power generation including the fugitive emissions from industries and unmanaged waste management practices such as open burning of solid wastes. With an increase in the global population and the subsequent rise in energy demands and waste generation, the rate of CO 2 release is at a much faster rate than its recycling through photosynthesis or fixation, which increases its net accumulation in the atmosphere. A large amount of CO 2 is emitted into the atmosphere from various sources such as the combustion of fossil fuels in power plants, vehicles and manufacturing industries. Thus, carbon capture plays a key role in the race to achieve net zero emissions, paving a path for a decarbonized economy. To reduce the carbon footprints from industrial practices and vehicular emissions and attempt to mitigate the effects of global warming, several CO 2 capturing and valorization technologies have become increasingly important. Hence, this article gives a statistical and geographical overview of CO 2 and other greenhouse gas emissions based on source and sector. The review also describes different mechanisms involved in the capture and utilization of CO 2 such as pre-combustion, post-combustion, oxy-fuels technologies, direct air capture, chemical looping combustion and gasification, ionic liquids, biological CO 2 fixation and geological CO 2 capture. The article also discusses the utilization of captured CO 2 for value-added products such as clean energy, chemicals and materials (carbonates and polycarbonates and supercritical fluids). This article also highlights certain global industries involved in progressing some promising CO 2 capture and utilization techniques.

Suggested Citation

  • Jiban Podder & Biswa R. Patra & Falguni Pattnaik & Sonil Nanda & Ajay K. Dalai, 2023. "A Review of Carbon Capture and Valorization Technologies," Energies, MDPI, vol. 16(6), pages 1-29, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2589-:d:1092274
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    References listed on IDEAS

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    1. Wang, Honglin & Liu, Yanrong & Laaksonen, Aatto & Krook-Riekkola, Anna & Yang, Zhuhong & Lu, Xiaohua & Ji, Xiaoyan, 2020. "Carbon recycling – An immense resource and key to a smart climate engineering: A survey of technologies, cost and impurity impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    2. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    3. Sudipta Chatterjee & Kuo-Wei Huang, 2020. "Unrealistic energy and materials requirement for direct air capture in deep mitigation pathways," Nature Communications, Nature, vol. 11(1), pages 1-3, December.
    4. Jingxiu Xie & Pasi P. Paalanen & Tom W. van Deelen & Bert M. Weckhuysen & Manuel J. Louwerse & Krijn P. de Jong, 2019. "Promoted cobalt metal catalysts suitable for the production of lower olefins from natural gas," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    5. Shivangi Jha & Sonil Nanda & Bishnu Acharya & Ajay K. Dalai, 2022. "A Review of Thermochemical Conversion of Waste Biomass to Biofuels," Energies, MDPI, vol. 15(17), pages 1-23, August.
    6. Chen, Bailian & Harp, Dylan R. & Lin, Youzuo & Keating, Elizabeth H. & Pawar, Rajesh J., 2018. "Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach," Applied Energy, Elsevier, vol. 225(C), pages 332-345.
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    Cited by:

    1. Ahmed M. Nassef, 2023. "Improving CO 2 Absorption Using Artificial Intelligence and Modern Optimization for a Sustainable Environment," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    2. Fu-Hsuan Chen & Hao-Ren Liu, 2024. "Analyze the Temporal and Spatial Distribution of Carbon Capture in Sustainable Development of Work," Energies, MDPI, vol. 17(21), pages 1-16, October.

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