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Editorial on the Special Issue “Wind Turbine Monitoring through Operation Data Analysis”

Author

Listed:
  • Davide Astolfi

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy)

  • Francesco Castellani

    (Department of Engineering, University of Perugia, Via G. Duranti 93, 06125 Perugia, Italy)

Abstract

Horizontal axis wind turbines likely constitute the most promising renewable energy technology worldwide and their exploitation has been recently accelerating due to energy transition policies [...]

Suggested Citation

  • Davide Astolfi & Francesco Castellani, 2022. "Editorial on the Special Issue “Wind Turbine Monitoring through Operation Data Analysis”," Energies, MDPI, vol. 15(10), pages 1-4, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3664-:d:817313
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    References listed on IDEAS

    as
    1. Davide Astolfi & Francesco Castellani & Matteo Becchetti & Andrea Lombardi & Ludovico Terzi, 2020. "Wind Turbine Systematic Yaw Error: Operation Data Analysis Techniques for Detecting It and Assessing Its Performance Impact," Energies, MDPI, vol. 13(9), pages 1-17, May.
    2. Davide Astolfi & Francesco Castellani & Andrea Lombardi & Ludovico Terzi, 2021. "Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring," Energies, MDPI, vol. 14(4), pages 1-18, February.
    3. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2020. "Analysis of Wind Turbine Aging through Operation Curves," Energies, MDPI, vol. 13(21), pages 1-21, October.
    4. Huanguo Chen & Chao Xie & Juchuan Dai & Enjie Cen & Jianmin Li, 2021. "SCADA Data-Based Working Condition Classification for Condition Assessment of Wind Turbine Main Transmission System," Energies, MDPI, vol. 14(21), pages 1-18, October.
    5. Michiel Dhont & Elena Tsiporkova & Veselka Boeva, 2021. "Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines," Energies, MDPI, vol. 14(19), pages 1-30, September.
    6. Hyun-Goo Kim & Jin-Young Kim, 2021. "Analysis of Wind Turbine Aging through Operation Data Calibrated by LiDAR Measurement," Energies, MDPI, vol. 14(8), pages 1-12, April.
    Full references (including those not matched with items on IDEAS)

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