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Valuing fuel diversification in power generation capacity planning


  • Sunderkötter, Malte
  • Weber, Christoph


Deterministic capacity planning problems in electricity systems can be solved by comparing technology specific long-term and short-term marginal costs. In an uncertain market environment, Mean-Variance Portfolio (MVP) theory provides a consistent framework to balance risk and return in power generation portfolios. Focusing on fuel price risks, MVP theory can be adopted to determine the welfare efficient system generation technology mix.

Suggested Citation

  • Sunderkötter, Malte & Weber, Christoph, 2012. "Valuing fuel diversification in power generation capacity planning," Energy Economics, Elsevier, vol. 34(5), pages 1664-1674.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:5:p:1664-1674 DOI: 10.1016/j.eneco.2012.02.003

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    References listed on IDEAS

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    8. Fan, Lin & Hobbs, Benjamin F. & Norman, Catherine S., 2010. "Risk aversion and CO2 regulatory uncertainty in power generation investment: Policy and modeling implications," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 193-208, November.
    9. Westner, Günther & Madlener, Reinhard, 2009. "Development of Cogeneration in Germany: A Dynamic Portfolio Analysis Based on the New Regulatory Framework," FCN Working Papers 4/2009, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised Mar 2010.
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    Cited by:

    1. repec:eee:rensus:v:81:y:2018:i:p1:p:192-204 is not listed on IDEAS
    2. Zhou, Y. & Li, Y.P. & Huang, G.H., 2015. "Planning sustainable electric-power system with carbon emission abatement through CDM under uncertainty," Applied Energy, Elsevier, vol. 140(C), pages 350-364.
    3. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi, 2016. "Optimizing plant size in the planning of renewable energy portfolios," Letters in Spatial and Resource Sciences, Springer, vol. 9(2), pages 169-187, July.
    4. Steffen, Bjarne & Weber, Christoph, 2013. "Efficient storage capacity in power systems with thermal and renewable generation," Energy Economics, Elsevier, vol. 36(C), pages 556-567.
    5. Jano-Ito, Marco A. & Crawford-Brown, Douglas, 2017. "Investment decisions considering economic, environmental and social factors: An actors' perspective for the electricity sector of Mexico," Energy, Elsevier, vol. 121(C), pages 92-106.
    6. Christoph Weber & Philip Vogel, 2014. "Contingent certificate allocation rules and incentives for power plant investment and disinvestment," Journal of Regulatory Economics, Springer, vol. 46(3), pages 292-317, December.
    7. Tietjen, Oliver & Pahle, Michael & Fuss, Sabine, 2016. "Investment risks in power generation: A comparison of fossil fuel and renewable energy dominated markets," Energy Economics, Elsevier, vol. 58(C), pages 174-185.
    8. Andreas A. Renz & Christoph Weber, 2012. "A Hotelling Model for Fixed-Cost Driven Power Generation," EWL Working Papers 1206, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Jan 2013.
    9. Inzunza, Andrés & Moreno, Rodrigo & Bernales, Alejandro & Rudnick, Hugh, 2016. "CVaR constrained planning of renewable generation with consideration of system inertial response, reserve services and demand participation," Energy Economics, Elsevier, vol. 59(C), pages 104-117.
    10. repec:eee:rensus:v:82:y:2018:i:p3:p:3808-3823 is not listed on IDEAS

    More about this item


    Power plant investments; Capacity planning; Mean-Variance Portfolio theory; Fuel mix diversification;

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy


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