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CO 2 Price Volatility Effects on Optimal Power System Portfolios

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  • Carlo Mari

    (Department of Economics, University of Chieti-Pescara, viale Pindaro 42, 65127 Pescara (PE), Italy)

Abstract

This paper investigates the effects of CO 2 price volatility on optimal power system portfolios and on CO 2 emissions assessment. In a stochastic setting in which three sources of uncertainty are considered, namely fossil fuels (gas and coal) and CO 2 prices, we discuss a unifying scheme for quantifying the impact of integrated environmental and renewable energy policies on the power system. We will show that the effects produced by a given environmental policy scheme strongly depend on the configuration of the power system, i.e., on the composition of the generating sources in the power system portfolio. In the empirical analysis performed on U.S. technical and cost data, we found that a non-volatile carbon tax scheme can produce significant effects on the power system portfolio selection problem in the presence of a carbon-free dispatchable source, like nuclear power, but it may have a negligible impact if the (non-renewable) dispatchable part of the power system portfolio is fully composed by fossil fuel, gas and coal, sources. On the other side, generating CO 2 price volatility market-oriented mechanisms can produce relevant effects on both power system configurations. Although the empirical analysis is performed on U.S. data, the proposed methodology is general and can be used as a quantitative support by policy makers in their attempts to reconcile environmental and economic issues.

Suggested Citation

  • Carlo Mari, 2018. "CO 2 Price Volatility Effects on Optimal Power System Portfolios," Energies, MDPI, vol. 11(7), pages 1-18, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1903-:d:159141
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    References listed on IDEAS

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    1. Westner, Günther & Madlener, Reinhard, 2010. "The benefit of regional diversification of cogeneration investments in Europe: A mean-variance portfolio analysis," Energy Policy, Elsevier, vol. 38(12), pages 7911-7920, December.
    2. Yang, Ming & Blyth, William & Bradley, Richard & Bunn, Derek & Clarke, Charlie & Wilson, Tom, 2008. "Evaluating the power investment options with uncertainty in climate policy," Energy Economics, Elsevier, vol. 30(4), pages 1933-1950, July.
    3. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "Carbon price volatility: Evidence from EU ETS," Applied Energy, Elsevier, vol. 88(3), pages 590-598, March.
    4. Delarue, Erik & Van den Bergh, Kenneth, 2016. "Carbon mitigation in the electric power sector under cap-and-trade and renewables policies," Energy Policy, Elsevier, vol. 92(C), pages 34-44.
    5. Mari, Carlo, 2014. "Hedging electricity price volatility using nuclear power," Applied Energy, Elsevier, vol. 113(C), pages 615-621.
    6. Roques, Fabien A. & Newbery, David M. & Nuttall, William J., 2008. "Fuel mix diversification incentives in liberalized electricity markets: A Mean-Variance Portfolio theory approach," Energy Economics, Elsevier, vol. 30(4), pages 1831-1849, July.
    7. Barbara Glensk & Reinhard Madlener, 2018. "Fuzzy Portfolio Optimization of Power Generation Assets," Energies, MDPI, vol. 11(11), pages 1-22, November.
    8. Bhattacharya, Anindya & Kojima, Satoshi, 2012. "Power sector investment risk and renewable energy: A Japanese case study using portfolio risk optimization method," Energy Policy, Elsevier, vol. 40(C), pages 69-80.
    9. Hanson, Donald & Schmalzer, David & Nichols, Christopher & Balash, Peter, 2016. "The impacts of meeting a tight CO2 performance standard on the electric power sector," Energy Economics, Elsevier, vol. 60(C), pages 476-485.
    10. Kümmel, Reiner & Lindenberger, Dietmar & Weiser, Florian, 2015. "The economic power of energy and the need to integrate it with energy policy," Energy Policy, Elsevier, vol. 86(C), pages 833-843.
    11. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    12. Lucheroni, Carlo & Mari, Carlo, 2017. "CO2 volatility impact on energy portfolio choice: A fully stochastic LCOE theory analysis," Applied Energy, Elsevier, vol. 190(C), pages 278-290.
    13. Carlo Lucheroni & Carlo Mari, 2018. "Optimal Integration of Intermittent Renewables: A System LCOE Stochastic Approach," Energies, MDPI, vol. 11(3), pages 1-21, March.
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