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Optimal technology adoption for power generation

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  • Detemple, Jerome
  • Kitapbayev, Yerkin

Abstract

We examine the decision problem of a power producer contemplating an upgrade of its current generation capacity based on a fossil fuel technology (gas plant), when price processes have affine drift and differentiable volatility functions. The operator can choose the best of four mutually exclusive alternatives, continue operating the current technology, replace it by a more efficient fossil fuel technology (gas plant), replace it by a renewable technology (wind plant), and divest (liquidate). There are four corresponding decision regions with three boundaries. Optimal boundaries of regions are characterized through a trivariate system of coupled Fredholm equations and valuation formulas derived. Investing in a more efficient gas plant is optimal if the gas price falls below some threshold and the electricity price exceeds an associated (gas) boundary. For some parameters, the gas price must also exceed a lower threshold. Investing in a wind plant is optimal if the gas price becomes sufficiently high and the electricity price exceeds an associated (wind) boundary. Liquidation is optimal if the electricity price falls below a (liquidation) boundary. The continuation region lies in between these boundaries. The possibility of investing in wind displaces new gas investment and postpones liquidation of the existing gas plant. We study the value of the firm and the Green Energy premium, and assess the impact of model parameters.

Suggested Citation

  • Detemple, Jerome & Kitapbayev, Yerkin, 2022. "Optimal technology adoption for power generation," Energy Economics, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002493
    DOI: 10.1016/j.eneco.2022.106085
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    More about this item

    Keywords

    Investment; Power generation; Replacement; Wind plant; Gas Plant; Liquidation; Exclusive alternatives; Optimal boundaries; Firm value; Value of Green Energy;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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