IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i11p2673-d1406163.html
   My bibliography  Save this article

Unveiling the Potential of Cryogenic Post-Combustion Carbon Capture: From Fundamentals to Innovative Processes

Author

Listed:
  • Mauro Luberti

    (Department of Chemical Engineering, School of Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UK)

  • Erika Ballini

    (Research Unit of Process Engineering, Department of Science & Technology for Sustainable Development & One Health, University Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy)

  • Mauro Capocelli

    (Research Unit of Process Engineering, Department of Science & Technology for Sustainable Development & One Health, University Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Rome, Italy)

Abstract

Climate change necessitates urgent actions to mitigate carbon dioxide (CO 2 ) emissions from fossil fuel-based energy generation. Among various strategies, the deployment of carbon capture and storage (CCS) solutions is critical for reducing emissions from point sources such as power plants and heavy industries. In this context, cryogenic carbon capture (CCC) via desublimation has emerged as a promising technology. While CCC offers high separation efficiency, minimal downstream compression work, and integration potential with existing industrial processes, challenges such as low operating temperatures and equipment costs persist. Ongoing research aims to address these hurdles in order to optimize the desublimation processes for widespread implementation. This review consolidates diverse works from the literature, providing insights into the strengths and limitations of CCC technology, including the latest pilot plant scale demonstrations. The transformative potential of CCC is first assessed on a theoretical basis, such as thermodynamic aspects and mass transfer phenomena. Then, recent advancements in the proposed process configurations are critically assessed and compared through key performance indicators. Furthermore, future research directions for this technology are clearly highlighted.

Suggested Citation

  • Mauro Luberti & Erika Ballini & Mauro Capocelli, 2024. "Unveiling the Potential of Cryogenic Post-Combustion Carbon Capture: From Fundamentals to Innovative Processes," Energies, MDPI, vol. 17(11), pages 1-24, May.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2673-:d:1406163
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/11/2673/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/11/2673/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Cann & Carolina Font-Palma, 2023. "Evaluation of Mathematical Models for CO 2 Frost Formation in a Cryogenic Moving Bed," Energies, MDPI, vol. 16(5), pages 1-14, February.
    2. Hossein Asgharian & Florin Iov & Samuel Simon Araya & Thomas Helmer Pedersen & Mads Pagh Nielsen & Ehsan Baniasadi & Vincenzo Liso, 2023. "A Review on Process Modeling and Simulation of Cryogenic Carbon Capture for Post-Combustion Treatment," Energies, MDPI, vol. 16(4), pages 1-35, February.
    3. Barbara Koelbl & Machteld Broek & André Faaij & Detlef Vuuren, 2014. "Uncertainty in Carbon Capture and Storage (CCS) deployment projections: a cross-model comparison exercise," Climatic Change, Springer, vol. 123(3), pages 461-476, April.
    4. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2015. "Plant-level dynamic optimization of Cryogenic Carbon Capture with conventional and renewable power sources," Applied Energy, Elsevier, vol. 149(C), pages 354-366.
    5. Mauro Luberti & Alexander Brown & Marco Balsamo & Mauro Capocelli, 2022. "Numerical Analysis of VPSA Technology Retrofitted to Steam Reforming Hydrogen Plants to Capture CO 2 and Produce Blue H 2," Energies, MDPI, vol. 15(3), pages 1-18, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van der Zwaan, Bob & Kober, Tom & Calderon, Silvia & Clarke, Leon & Daenzer, Katie & Kitous, Alban & Labriet, Maryse & Lucena, André F.P. & Octaviano, Claudia & Di Sbroiavacca, Nicolas, 2016. "Energy technology roll-out for climate change mitigation: A multi-model study for Latin America," Energy Economics, Elsevier, vol. 56(C), pages 526-542.
    2. Ruben Bibas & C. Cassen & Renaud Crassous & Céline Guivarch & Meriem Hamdi-Cherif & Jean Charles Hourcade & Florian Leblanc & Aurélie Méjean & Eoin Ó Broin & Julie Rozenberg & Olivier Sassi & Adrien V, 2022. "IMpact Assessment of CLIMate policies with IMACLIM-R 1.1. Model documentation version 1.1," Working Papers hal-03702627, HAL.
    3. P. A. Turner & C. B. Field & D. B. Lobell & D. L. Sanchez & K. J. Mach, 2018. "Unprecedented rates of land-use transformation in modelled climate change mitigation pathways," Nature Sustainability, Nature, vol. 1(5), pages 240-245, May.
    4. Shuyu Dai & Dongxiao Niu & Yaru Han, 2018. "Forecasting of Energy-Related CO 2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    5. Vinca, Adriano & Rottoli, Marianna & Marangoni, Giacomo & Tavoni, Massimo, 2017. "The Role of Carbon Capture and Storage Electricity in Attaining 1.5 and 2°C," MITP: Mitigation, Innovation and Transformation Pathways 266285, Fondazione Eni Enrico Mattei (FEEM).
    6. Menglu Li & Wei Wang & Gejirifu De & Xionghua Ji & Zhongfu Tan, 2018. "Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm," Energies, MDPI, vol. 11(9), pages 1-15, September.
    7. Misconel, S. & Leisen, R. & Mikurda, J. & Zimmermann, F. & Fraunholz, C. & Fichtner, W. & Möst, D. & Weber, C., 2022. "Systematic comparison of high-resolution electricity system modeling approaches focusing on investment, dispatch and generation adequacy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    8. Giarola, Sara & Molar-Cruz, Anahi & Vaillancourt, Kathleen & Bahn, Olivier & Sarmiento, Luis & Hawkes, Adam & Brown, Maxwell, 2021. "The role of energy storage in the uptake of renewable energy: A model comparison approach," Energy Policy, Elsevier, vol. 151(C).
    9. Matthias Weitzel, 2017. "The role of uncertainty in future costs of key CO2 abatement technologies: a sensitivity analysis with a global computable general equilibrium model," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 153-173, January.
    10. Miao, Yuang & Lu, Huixia & Cui, Shizhang & Zhang, Xu & Zhang, Yusheng & Song, Xinwang & Cheng, Haiying, 2024. "CO2 emissions change in Tianjin: The driving factors and the role of CCS," Applied Energy, Elsevier, vol. 353(PA).
    11. Xie, Heping & Wu, Yifan & Liu, Tao & Wang, Fuhuan & Chen, Bin & Liang, Bin, 2020. "Low-energy-consumption electrochemical CO2 capture driven by biomimetic phenazine derivatives redox medium," Applied Energy, Elsevier, vol. 259(C).
    12. Sinn, Hans-Werner, 2017. "Buffering volatility: A study on the limits of Germany's energy revolution," European Economic Review, Elsevier, vol. 99(C), pages 130-150.
    13. Guivarch, Céline & Monjon, Stéphanie, 2017. "Identifying the main uncertainty drivers of energy security in a low-carbon world: The case of Europe," Energy Economics, Elsevier, vol. 64(C), pages 530-541.
    14. Holz, Franziska & Scherwath, Tim & Crespo del Granado, Pedro & Skar, Christian & Olmos, Luis & Ploussard, Quentin & Ramos, Andrés & Herbst, Andrea, 2021. "A 2050 perspective on the role for carbon capture and storage in the European power system and industry sector," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 104, pages 1-18.
    15. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J. & Jayaweera, Indira, 2016. "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique," Applied Energy, Elsevier, vol. 179(C), pages 1209-1219.
    16. Hurlbert, Margot & Osazuwa-Peters, Mac, 2023. "Carbon capture and storage in Saskatchewan: An analysis of communicative practices in a contested technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    17. Rahman, Farahiyah Abdul & Aziz, Md Maniruzzaman A. & Saidur, R. & Bakar, Wan Azelee Wan Abu & Hainin, M.R & Putrajaya, Ramadhansyah & Hassan, Norhidayah Abdul, 2017. "Pollution to solution: Capture and sequestration of carbon dioxide (CO2) and its utilization as a renewable energy source for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 112-126.
    18. Koelbl, Barbara S. & van den Broek, Machteld A. & Wilting, Harry C. & Sanders, Mark W.J.L. & Bulavskaya, Tatyana & Wood, Richard & Faaij, André P.C. & van Vuuren, Detlef P., 2016. "Socio-economic impacts of low-carbon power generation portfolios: Strategies with and without CCS for the Netherlands," Applied Energy, Elsevier, vol. 183(C), pages 257-277.
    19. Hang Deng & Jeffrey M. Bielicki & Michael Oppenheimer & Jeffrey P. Fitts & Catherine A. Peters, 2017. "Leakage risks of geologic CO2 storage and the impacts on the global energy system and climate change mitigation," Climatic Change, Springer, vol. 144(2), pages 151-163, September.
    20. Carrara, Samuel, 2020. "Reactor ageing and phase-out policies: global and regional prospects for nuclear power generation," Energy Policy, Elsevier, vol. 147(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2673-:d:1406163. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.