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Measuring the long run technical efficiency of offshore wind farms

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  • Benini, Giacomo
  • Cattani, Gilles

Abstract

Offshore wind energy has emerged as an attractive alternative to conventional resources to meet the Paris agreement commitment. The present paper studies the long run capacity of offshore wind farms to transform kinetic energy into electricity. We start estimating the technical efficiency of twenty-six farms over a thirteen years interval using a fully parametric and a semiparametric stochastic frontier model. The latter allows the factors of production to impact non-linearly on the quantity of electricity produced, those reducing the possibility of committing a functional misspecification error. Our results suggest that fully parametric specifications fails to identify the non-linear effect of labour cost on volumes of electricity produced. Then, we regress the estimated technical efficiency over the farm age, while controlling for the technological change of the wind power industry, to single out the resilience of the technical efficiency to aging. According to our calculations, technical efficiency ranges from 83% to 98% and it does not decline with age. This result shades light on the capacity of offshore wind farms to be a long term solution of the energy transition.

Suggested Citation

  • Benini, Giacomo & Cattani, Gilles, 2022. "Measuring the long run technical efficiency of offshore wind farms," Applied Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:appene:v:308:y:2022:i:c:s0306261921014835
    DOI: 10.1016/j.apenergy.2021.118218
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    Cited by:

    1. Davide Astolfi & Ravi Pandit & Ludovico Terzi & Andrea Lombardi, 2022. "Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis," Energies, MDPI, vol. 15(15), pages 1-17, July.
    2. Dario Maradin & Bojana Olgić Draženović & Saša Čegar, 2023. "The Efficiency of Offshore Wind Energy Companies in the European Countries: A DEA Approach," Energies, MDPI, vol. 16(9), pages 1-16, April.
    3. Davide Astolfi & Ravi Pandit, 2022. "Wind Turbine Performance Decline with Age," Energies, MDPI, vol. 15(14), pages 1-4, July.

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    More about this item

    Keywords

    Wind; Power industry; Technical efficiency; Stochastic Frontier Analysis; Age;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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