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The Impacts of Atmospheric Stability on the Accuracy of Wind Speed Extrapolation Methods

Author

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  • Jennifer F. Newman

    (School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Norman, OK 73072, USA)

  • Petra M. Klein

    (School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Norman, OK 73072, USA)

Abstract

The building of utility-scale wind farms requires knowledge of the wind speed climatology at hub height (typically 80–100 m). As most wind speed measurements are taken at 10 m above ground level, efforts are being made to relate 10-m measurements to approximate hub-height wind speeds. One common extrapolation method is the power law, which uses a shear parameter to estimate the wind shear between a reference height and hub height. The shear parameter is dependent on atmospheric stability and should ideally be determined independently for different atmospheric stability regimes. In this paper, data from the Oklahoma Mesonet are used to classify atmospheric stability and to develop stability-dependent power law fits for a nearby tall tower. Shear exponents developed from one month of data are applied to data from different seasons to determine the robustness of the power law method. In addition, similarity theory-based methods are investigated as possible alternatives to the power law. Results indicate that the power law method performs better than similarity theory methods, particularly under stable conditions, and can easily be applied to wind speed data from different seasons. In addition, the importance of using co-located near-surface and hub-height wind speed measurements to develop extrapolation fits is highlighted.

Suggested Citation

  • Jennifer F. Newman & Petra M. Klein, 2014. "The Impacts of Atmospheric Stability on the Accuracy of Wind Speed Extrapolation Methods," Resources, MDPI, vol. 3(1), pages 1-25, January.
    • Handle: RePEc:gam:jresou:v:3:y:2014:i:1:p:81-105:d:32417
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    Citations

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    Cited by:

    1. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    2. Ippolito, Matteo & De Caro, Dario & Cannarozzo, Marcella & Provenzano, Giuseppe & Ciraolo, Giuseppe, 2024. "Evaluation of daily crop reference evapotranspiration and sensitivity analysis of FAO Penman-Monteith equation using ERA5-Land reanalysis database in Sicily, Italy," Agricultural Water Management, Elsevier, vol. 295(C).
    3. Christy Pérez & Michel Rivero & Mauricio Escalante & Victor Ramirez & Damien Guilbert, 2023. "Influence of Atmospheric Stability on Wind Turbine Energy Production: A Case Study of the Coastal Region of Yucatan," Energies, MDPI, vol. 16(10), pages 1-20, May.

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