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The economic value of flexible CCS in net-zero electricity systems: The case of the UK

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  • Chyong, C. K.
  • Reiner, D. M.
  • Ly, R.
  • Fajardy, M.

Abstract

We build a unit-commitment optimisation model of a flexible combined-cycle gas turbine (CCGT) with solvent-based post-combustion carbon capture and storage (CCS). We derive the economic benefits of CCS with solvent storage for a 20-year investment (2030-2050) based on the expected long-term increase in carbon prices and the volatility of electricity prices. Drawing on National Grid's Future Energy Scenarios for the UK, our model shows that the CCGT-CCS plant profit is, on average, higher with solvent storage because of intertemporal arbitrage opportunities created by having this storage solution available. We find that the economic value of this intertemporal flexibility increases with greater electricity price volatility. Under high price volatility, the total return on investment (ROI) could reach 81- 246%. In relative terms, this is much higher than the total ROI of the CCGT-CCS plant itself (7-64%). While there is an economic case for investing in flexible CCS with solvent storage, there are wider system benefits too. A flexible solvent storage solution should be seen in the context of the overall system ‘flexibility' requirements of a low-carbon power system. On a cost basis, solvent storage represents just a fraction of the capital costs of more "mainstream" energy storage technologies, such as lithium-ion batteries or hydro pumped storage, while CCGT-CCS offers firm power. Overall, while seen as a rather technical solution, if abated fossil fuel generation is to be part of a future low-carbon power system having this flexibility adds economic benefits not just to operators but also improves overall system security and complements high shares of variable renewables on the grid.

Suggested Citation

  • Chyong, C. K. & Reiner, D. M. & Ly, R. & Fajardy, M., 2023. "The economic value of flexible CCS in net-zero electricity systems: The case of the UK," Cambridge Working Papers in Economics 2336, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:2336
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    References listed on IDEAS

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    1. Gils, Hans Christian & Scholz, Yvonne & Pregger, Thomas & Luca de Tena, Diego & Heide, Dominik, 2017. "Integrated modelling of variable renewable energy-based power supply in Europe," Energy, Elsevier, vol. 123(C), pages 173-188.
    2. Victor, Nadejda & Nichols, Christopher & Zelek, Charles, 2018. "The U.S. power sector decarbonization: Investigating technology options with MARKAL nine-region model," Energy Economics, Elsevier, vol. 73(C), pages 410-425.
    3. van Zuijlen, Bas & Zappa, William & Turkenburg, Wim & van der Schrier, Gerard & van den Broek, Machteld, 2019. "Cost-optimal reliable power generation in a deep decarbonisation future," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
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    More about this item

    Keywords

    Combined-cycle gas turbines; Carbon capture and storage; unit-commitment models; optimisation; flexible carbon capture; solvent storage;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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