why are wind data generalized at 10-minute periods

[Sinisa Knezevic]

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:
1
(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..."?

2
Something to do with 1/(10-minute) frequency having low energy amplitude in Van den Hoven spectral gap?

3
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!

[Ole Rathmann]

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.