Wind Energy Science
Wind Energy Science
WES
Articles | Volume 9, issue 5
Articles | Volume 9, issue 5
https://doi.org/10.5194/wes-9-1189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1189-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 5
Research article
 | 
16 May 2024
Research article |  | 16 May 2024

Method to predict the minimum measurement and experiment durations needed to achieve converged and significant results in a wind energy field experiment

Daniel R. Houck, Nathaniel B. de Velder, David C. Maniaci, and Brent C. Houchens

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Revised manuscript accepted for WES
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Cited articles

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Berg, J., Bryant, J., Leblanc, B., Maniaci, D., Naughton, B., Paquette, J., Resor, B., White, J., and Kroeker, D.: Scaled Wind Farm Technology Facility Overview, Tech. rep., SAND2013-10632C, 2013. a
Cassamo, N.: Active Wake Control Validation Methodology, Tech. rep., TNO, 21-12461, February 2022, 2022. a, b
Castaignet, D., Wedel-Heinen, J. J., Kim, T., Buhl, T., and Poulsen, N. K.: Results from the first full scale wind turbine equipped with trailing edge flaps, 28th AIAA Applied Aerodynamics Conference, Chicago, Illinois, 28 June–1 July 2010, 1, https://doi.org/10.2514/6.2010-4407, 2010. a
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Experiments offer incredible value to science, but results must come with an uncertainty quantification to be meaningful. We present a method to simulate a proposed experiment, calculate uncertainties, and determine the measurement duration (total time of measurements) and the experiment duration (total time to collect the required measurement data when including condition variability and time when measurement is not occurring) required to produce statistically significant and converged results.
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