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A thermodynamic-based mixed-integer linear model of post-combustion carbon capture for reliable use in energy system optimisation

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  • Weimann, Lukas
  • Dubbink, Guus
  • van der Ham, Louis
  • Gazzani, Matteo

Abstract

Assessing the role of carbon capture in energy systems dominated by non-dispatchable renewable energy sources requires a reliable and accurate model. However, carbon capture models used in complex systems optimisation are often very simplified. Therefore, we developed a mixed-integer linear model of post-combustion carbon capture starting from rigorous thermodynamic modelling in Aspen Plus. The final model decides the size and the operation of the capture process and returns the cost and energy requirements as a function of the CO2 concentration and the flow rate of the treated flue gas. Validation against actual plant data (Petra Nova) showed excellent accuracy with a deviation in total CO2 captured of just 2%. By applying the model to an exemplary case study, we show that it allows for co-optimising renewables deployment and carbon capture design and operation for a gas turbine, thus opening opportunities to explore new system designs of practical added value.

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  • Weimann, Lukas & Dubbink, Guus & van der Ham, Louis & Gazzani, Matteo, 2023. "A thermodynamic-based mixed-integer linear model of post-combustion carbon capture for reliable use in energy system optimisation," Applied Energy, Elsevier, vol. 336(C).
  • Handle: RePEc:eee:appene:v:336:y:2023:i:c:s0306261923001022
    DOI: 10.1016/j.apenergy.2023.120738
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    1. Henke, Hauke T.J. & Gardumi, Francesco & Howells, Mark, 2022. "The open source electricity Model Base for Europe - An engagement framework for open and transparent European energy modelling," Energy, Elsevier, vol. 239(PA).
    2. d'Amore, Federico & Mocellin, Paolo & Vianello, Chiara & Maschio, Giuseppe & Bezzo, Fabrizio, 2018. "Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures," Applied Energy, Elsevier, vol. 223(C), pages 401-415.
    3. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    4. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    5. Chao, Cong & Deng, Yimin & Dewil, Raf & Baeyens, Jan & Fan, Xianfeng, 2021. "Post-combustion carbon capture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    6. Wiesberg, Igor Lapenda & de Medeiros, José Luiz & Paes de Mello, Raphael V. & Santos Maia, Jeiveison G.S. & Bastos, João Bruno V. & Araújo, Ofélia de Queiroz F., 2021. "Bioenergy production from sugarcane bagasse with carbon capture and storage: Surrogate models for techno-economic decisions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    7. Peter Markewitz & Li Zhao & Maximilian Ryssel & Gkiokchan Moumin & Yuan Wang & Christian Sattler & Martin Robinius & Detlef Stolten, 2019. "Carbon Capture for CO 2 Emission Reduction in the Cement Industry in Germany," Energies, MDPI, vol. 12(12), pages 1-25, June.
    8. Bassano, Claudia & Deiana, Paolo & Vilardi, Giorgio & Verdone, Nicola, 2020. "Modeling and economic evaluation of carbon capture and storage technologies integrated into synthetic natural gas and power-to-gas plants," Applied Energy, Elsevier, vol. 263(C).
    9. Gabrielli, Paolo & Gazzani, Matteo & Mazzotti, Marco, 2018. "Electrochemical conversion technologies for optimal design of decentralized multi-energy systems: Modeling framework and technology assessment," Applied Energy, Elsevier, vol. 221(C), pages 557-575.
    10. Gregor Semieniuk & Philip B. Holden & Jean-Francois Mercure & Pablo Salas & Hector Pollitt & Katharine Jobson & Pim Vercoulen & Unnada Chewpreecha & Neil R. Edwards & Jorge E. Viñuales, 2022. "Stranded fossil-fuel assets translate to major losses for investors in advanced economies," Nature Climate Change, Nature, vol. 12(6), pages 532-538, June.
    11. Ma, Yiming & Wang, Haixin & Hong, Feng & Yang, Junyou & Chen, Zhe & Cui, Haoqian & Feng, Jiawei, 2021. "Modeling and optimization of combined heat and power with power-to-gas and carbon capture system in integrated energy system," Energy, Elsevier, vol. 236(C).
    12. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    13. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
    14. Sgouris Sgouridis & Michael Carbajales-Dale & Denes Csala & Matteo Chiesa & Ugo Bardi, 2019. "Comparative net energy analysis of renewable electricity and carbon capture and storage," Nature Energy, Nature, vol. 4(6), pages 456-465, June.
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    1. Arwa, Erick O. & Schell, Kristen R., 2024. "Batteries or silos: Optimizing storage capacity in direct air capture plants to maximize renewable energy use," Applied Energy, Elsevier, vol. 355(C).

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