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Optimal Carbon Sequestration Policies in Leaky Reservoirs


  • Jean-Marie, Alain
  • Moreaux, Michel
  • Tidball, Mabel


We study in this report a model of optimal Carbon Capture and Storage in which the reservoir of sequestered carbon is leaky, and pollution eventually is released into the atmosphere. We formulate the social planner problem as an optimal control program and we describe the optimal consumption paths as a function of the initial conditions, the physical constants and the economical parameters. In particular, we show that the presence of leaks may lead to situations which do not occur otherwise, including that of non-monotonous price paths for the energy.

Suggested Citation

  • Jean-Marie, Alain & Moreaux, Michel & Tidball, Mabel, 2014. "Optimal Carbon Sequestration Policies in Leaky Reservoirs," TSE Working Papers 14-528, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:28552

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    References listed on IDEAS

    1. Jean-Pierre Amigues & Michel Moreaux & Katheline Schubert, 2011. "Optimal Use of a Polluting Non-Renewable Resource Generating both Manageable and Catastrophic Damages," Annals of Economics and Statistics, GENES, issue 103-104, pages 107-141.
    2. repec:adr:anecst:y:2011:i:103-104:p:07 is not listed on IDEAS
    3. Chakravorty, Ujjayant & Magne, Bertrand & Moreaux, Michel, 2006. "A Hotelling model with a ceiling on the stock of pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2875-2904, December.
    4. Jean-Pierre Amigues & Gilles Lafforgue & Michel Moreaux, 2014. "Optimal Timing of CCS Policies with Heterogeneous Energy Consumption Sectors," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(3), pages 345-366, March.
    5. Chakravorty, Ujjayant & Leach, Andrew & Moreaux, Michel, 2012. "Cycles in nonrenewable resource prices with pollution and learning-by-doing," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1448-1461.
    6. Lafforgue, Gilles & Magné, Bertrand & Moreaux, Michel, 2008. "Energy substitutions, climate change and carbon sinks," Ecological Economics, Elsevier, vol. 67(4), pages 589-597, November.
    7. Reyer Gerlagh & Bob van der Zwaan, 2006. "Options and Instruments for a Deep Cut in CO2 Emissions: Carbon Dioxide Capture or Renewables, Taxes or Subsidies?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 25-48.
    8. Ayong Le Kama, Alain & Fodha, Mouez & Lafforgue, Gilles, 2009. "Optimal Carbon Capture and Storage Policies," TSE Working Papers 09-095, Toulouse School of Economics (TSE).
    9. Matthias Kalkuhl & Ottmar Edenhofer & Kai Lessmann, 2015. "The Role of Carbon Capture and Sequestration Policies for Climate Change Mitigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(1), pages 55-80, January.
    10. Amigues, Jean-Pierre & Lafforgue, Gilles & Moreaux, Michel, 2014. "Optimal Timing of Carbon Capture and Storage Policies Under Learning-by-doing," TSE Working Papers 14-472, Toulouse School of Economics (TSE).
    11. Durmaz, Tunç & Schroyen, Fred, 2013. "Evaluating Carbon Capture and Storage in a Climate Model with Directed Technical Change," Discussion Paper Series in Economics 14/2013, Norwegian School of Economics, Department of Economics.
    12. Olli Tahvonen, 1997. "Fossil Fuels, Stock Externalities, and Backstop Technology," Canadian Journal of Economics, Canadian Economics Association, vol. 30(4), pages 855-874, November.
    13. Herzog, Howard J., 2011. "Scaling up carbon dioxide capture and storage: From megatons to gigatons," Energy Economics, Elsevier, vol. 33(4), pages 597-604, July.
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    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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