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Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures

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  • d'Amore, Federico
  • Mocellin, Paolo
  • Vianello, Chiara
  • Maschio, Giuseppe
  • Bezzo, Fabrizio

Abstract

European large stationary sources are currently emitting more than 1.4 Gt of CO2 every year. A significant decrease in greenhouse gases emissions cannot be achieved without carbon capture and sequestration (CCS) technologies. However, although being practiced for over 30 years, CO2 transportation is intrinsically characterised by the risk of leakage. This study proposes to assess and tackle this issue within the CCS design problem, by proposing a spatially explicit mixed integer linear programming approach for the economic optimisation of a European supply chain for carbon capture, transport and geological storage, where societal risk assessment is formally incorporated within the modelling framework. Post-combustion, oxy-fuel combustion and pre-combustion are considered as technological options for CO2 capture, whereas both pipelines (inshore and offshore) and ships are taken into account as transport means. Both inland-inshore and offshore injection options are available for carbon geological sequestration. Risk mitigation measures are considered in the design of the transport network. The overall supply chain is economically optimised for different minimum carbon reduction scenarios. Results demonstrate that accounting for societal risk may impact the overall carbon sequestration capacity, and that the proposed approach may represent a valuable tool to support policy makers in their strategic decisions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:223:y:2018:i:c:p:401-415
    DOI: 10.1016/j.apenergy.2018.04.043
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    2. 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).
    3. Wenyue Zhou & Lingying Pan & Xiaohui Mao, 2023. "Optimization and Comparative Analysis of Different CCUS Systems in China: The Case of Shanxi Province," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    4. Zetterholm, Jonas & Pettersson, Karin & Leduc, Sylvain & Mesfun, Sennai & Lundgren, Joakim & Wetterlund, Elisabeth, 2018. "Resource efficiency or economy of scale: Biorefinery supply chain configurations for co-gasification of black liquor and pyrolysis liquids," Applied Energy, Elsevier, vol. 230(C), pages 912-924.
    5. Fan, Jing-Li & Xu, Mao & Li, Fengyu & Yang, Lin & Zhang, Xian, 2018. "Carbon capture and storage (CCS) retrofit potential of coal-fired power plants in China: The technology lock-in and cost optimization perspective," Applied Energy, Elsevier, vol. 229(C), pages 326-334.
    6. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    7. Fikru, Mahelet G. & Azure, Jessica W.A., 2023. "Renewable energy technologies and carbon capture retrofits are strategic complements," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    8. Wu, Hao & Lubbers, Nicholas & Viswanathan, Hari S. & Pollyea, Ryan M., 2021. "A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning," Applied Energy, Elsevier, vol. 287(C).
    9. Matteo Vitali & Giovanni Biancini & Barbara Marchetti & Francesco Corvaro, 2023. "On the Sublimation of Dry-Ice: Experimental Investigation and Thermal Modelling of Low-Temperatures on a Sandy Soil," Energies, MDPI, vol. 16(2), pages 1-13, January.
    10. Míguez, José Luis & Porteiro, Jacobo & Pérez-Orozco, Raquel & Patiño, David & Gómez, Miguel Ángel, 2020. "Biological systems for CCS: Patent review as a criterion for technological development," Applied Energy, Elsevier, vol. 257(C).

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