Articles | Volume 7, issue 2
Wind Energ. Sci., 7, 659–676, 2022
https://doi.org/10.5194/wes-7-659-2022
Wind Energ. Sci., 7, 659–676, 2022
https://doi.org/10.5194/wes-7-659-2022
Research article
24 Mar 2022
Research article | 24 Mar 2022

Validation of wind resource and energy production simulations for small wind turbines in the United States

Lindsay M. Sheridan et al.

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Cited articles

Acker, T. L., Bhattarai, B., and Shrestha, R.: Distributed Wind Resource Assessment for Small, Kilowatt-Sized Wind Turbines using Computational Flow Modeling Software, NAWEA WindTech 2019, J. Phys. Conf. Ser., 1452, 012013, https://doi.org/10.1088/1742-6596/1452/1/012013, 2019. 
Argonne National Laboratory: Argonne 60 m Meteorological Tower, Argonne National Laboratory [data set], https://www.atmos.anl.gov/ANLMET/, last access: 6 November 2020. 
Bechmann, A., Conti, D., Davis, N., Hansen, B. O., Kelly, M. C., Mortensen, N. G., Nielsen, M., Badger, J., and Pena Diaz, A.: MyWindTurbine – Energy Yield Calculations, DTU Wind Energy E No. 0132, DTU Wind Energy, https://scholar.google.com/scholar?cluster=2721908714243871265&hl=en&as_sdt=0,48 (last access: 21 March 2022), 2016. 
Bednar, D. J. and Reames, T. G.: Recognition and response to energy poverty in the United States, Nature Energy, 5, 432–439, https://doi.org/10.1038/s41560-020-0582-0, 2020. 
Bergey WindPower Co.: Wind Report, Bergey WindPower Co. [data set], http://www.newrootsenergy.com/page/wind_report, last access: 22 August 2021. 
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Short summary
The small wind community relies on simplified wind models and energy production simulation tools to obtain energy generation expectations. We gathered actual wind speed and turbine production data across the US to test the accuracy of models and tools for small wind turbines. This study provides small wind installers and owners with the error metrics and sources of error associated with using models and tools to make performance estimates, empowering them to adjust expectations accordingly.