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why are wind data generalized at 10-minute periods

Sinisa Knezevic

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In the process of looking for all the details from selecting instruments to completing EYA, I I could not find the answer to "Why TEN-MINUTE averages".

Some hints were:
(WIND TURBINES – Part 12-2: Power performance of electricity producing wind turbines based on nacelle anemometry)
"It is important to note that the choice to use 10-minute statistics in itself influences the result of the power performance test, for instance through the effect of turbulence. Originally, the 10-minute period was selected AMONGST OTHERS to allow for the time the wind needs to flow from mast to turbine and to ensure reasonable correlation between wind speed and power..."?

Something to do with 1/(10-minute) frequency having low energy amplitude in Van den Hoven spectral gap?

Just a heritage from meteorology in the old times (when there was not enough memory to store data in higher resolution) that became a standard?

Is there any credible scientific or practical reason?

Thank you!
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  • 2 weeks later...
Dear Sinisa Knezevic, the answer 1) relating to the correlation between a mast and a turbine some hundred meters away - or more - may be closest to the truth, and building you wind statistics on e.g. 1-min-average data instead of 10-min-average data would hardly make a change - and that would also apply to the predicted power production.
However, that does not mean that it is unimportant what happens on 1-min scale; in special cases where you want to study wake effects and wake-meandering in large wind farms you might have to measure your wind with e.g. 1-min resolution - but then we move into research and development; for standard wind power production estimations 10-min data would normally be sufficient.
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