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A futuristic least-cost optimisation model of CO2 transportation and storage in the UK/UK Continental Shelf

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  • Kemp, Alexander G.
  • Sola Kasim, A.

Abstract

The owners of 8 power plants in the UK have announced interest in capturing and sequestering CO2. Using various criteria from the literature twenty fields in the UK Continental Shelf were selected as possible sinks for the captured CO2. Using a linear programming model, the study determined the least-cost transportation network under various constraints on the volumes of CO2 captured from the sources and the injection rates at the sinks. Four scenarios were developed to gauge the sensitivity of the results to these and to the availability of fields for EOR and Permanent Storage. Depending on the scenario, the optimal transportation CAPEX was found to range between £3.5 and £5.2 billion in real terms. With higher minimum injection rates at the fields, accelerating CO2-EOR investments was found to reduce unit transportation CAPEX compared to waiting for their cessation of production dates. On the other hand a combination of the later availability of the CO2-EOR fields plus a lower minimum injection rate yielded the minimum transportation network CAPEX. The modelling also unveiled the problem of CO2 supply overflows in the longer term. The modelling approach has wide applicability beyond the UK.

Suggested Citation

  • Kemp, Alexander G. & Sola Kasim, A., 2010. "A futuristic least-cost optimisation model of CO2 transportation and storage in the UK/UK Continental Shelf," Energy Policy, Elsevier, vol. 38(7), pages 3652-3667, July.
    • Handle: RePEc:eee:enepol:v:38:y:2010:i:7:p:3652-3667
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    References listed on IDEAS

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    1. Rubin, Edward S. & Yeh, Sonia & Antes, Matt & Berkenpas, Michael & Davison, John, 2007. "Use of experience curves to estimate the future cost of power plants with CO2 capture," Institute of Transportation Studies, Working Paper Series qt46x6h0n0, Institute of Transportation Studies, UC Davis.
    2. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt1f25b3xq, Institute of Transportation Studies, UC Davis.
    3. A.G. Kemp and A.S. Kasim, 2008. "A Least-Cost optimisation Model of Co2 Capture Applied to Major uK Power Plants Within The Eu-ETS Framework," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 99-134.
    4. Yeh, Sonia & Rubin, Edward S, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt3zz2w2wr, Institute of Transportation Studies, UC Davis.
    5. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt96z5s545, Institute of Transportation Studies, UC Davis.
    6. Yeh, Sonia & Rubin, Edward, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt4xn4w7rn, Institute of Transportation Studies, UC Davis.
    7. Middleton, Richard S. & Bielicki, Jeffrey M., 2009. "A scalable infrastructure model for carbon capture and storage: SimCCS," Energy Policy, Elsevier, vol. 37(3), pages 1052-1060, March.
    8. Gibbins, Jon & Chalmers, Hannah, 2008. "Carbon capture and storage," Energy Policy, Elsevier, vol. 36(12), pages 4317-4322, December.
    9. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
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    Cited by:

    1. Cai, W. & Singham, D.I., 2018. "A principal–agent problem with heterogeneous demand distributions for a carbon capture and storage system," European Journal of Operational Research, Elsevier, vol. 264(1), pages 239-256.
    2. Massol, Olivier & Tchung-Ming, Stéphane & Banal-Estañol, Albert, 2015. "Joining the CCS club! The economics of CO2 pipeline projects," European Journal of Operational Research, Elsevier, vol. 247(1), pages 259-275.
    3. Kemp, Alexander G. & Kasim, Sola, 2013. "The economics of CO2-EOR cluster developments in the UK Central North Sea," Energy Policy, Elsevier, vol. 62(C), pages 1344-1355.
    4. Massol, Olivier & Tchung-Ming, Stéphane & Banal-Estañol, Albert, 2018. "Capturing industrial CO2 emissions in Spain: Infrastructures, costs and break-even prices," Energy Policy, Elsevier, vol. 115(C), pages 545-560.
    5. Kemp, Alexander G. & Kasim, Sola, 2010. "An Optimised Illustrative Investment Model Of The Economics Of Integrated Returns From CCS Deployment In The UK/UKCS," SIRE Discussion Papers 2010-126, Scottish Institute for Research in Economics (SIRE).
    6. Singham, D.I., 2019. "Sample average approximation for the continuous type principal-agent problem," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1050-1057.
    7. Nadine Heitmann & Christine Bertram & Daiju Narita, 2012. "Embedding CCS infrastructure into the European electricity system: a policy coordination problem," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(6), pages 669-686, August.
    8. Bertram, Christine & Heitmann, Nadine & Narita, Daiju & Schwedeler, Markus, 2012. "How will Germany's CCS policy affect the development of a European CO2 transport infrastructure?," Kiel Policy Brief 43, Kiel Institute for the World Economy (IfW Kiel).
    9. Cai, W. & Singham, D.I. & Craparo, E.M. & White, J.A., 2014. "Pricing Contracts Under Uncertainty in a Carbon Capture and Storage Framework," Energy Economics, Elsevier, vol. 43(C), pages 56-62.
    10. Jagu Schippers, Emma & Massol, Olivier, 2022. "Unlocking CO2 infrastructure deployment: The impact of carbon removal accounting," Energy Policy, Elsevier, vol. 171(C).
    11. Massol, O. & Tchung-Ming, S., 2012. "Joining the CCS Club! Insights from a Northwest European CO2 Pipeline Project," Working Papers 12/10, Department of Economics, City University London.
    12. Simon Shackley & Michael Thompson, 2012. "Lost in the mix: will the technologies of carbon dioxide capture and storage provide us with a breathing space as we strive to make the transition from fossil fuels to renewables?," Climatic Change, Springer, vol. 110(1), pages 101-121, January.

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    Keywords

    CO2 transportation Injection rates Supply-overflows;

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