Youwind Renewables Blog

Introducing New Time Series Integration

Written by Youwind Renewables | Feb 14, 2025 3:39:01 PM

Discover Youwind's new Time Series Integration to enhance windspeed and energy production estimates, impacting P50, LCOE, and more for accurate wind resource analysis.

The Wind Temporal Analysis section of the Youwind model has received several updates:

 

  • The results can now be used in a Youwind Scenario in full, impacting the Scenario P50, LCOE, and other KPIs.    
  • We have adopted a Mean of Monthly Means approach to calculating long-term windspeed and energy production estimates.    
  • Curtailment losses can now be calculated via the time-series, in addition to the wake losses that were already present.    

 

How to use the time series analysis results  

In the wind resource section, a user can select ‘Use Time Series Analysis’. This will change the source of the wind resource analysis away from Weibull Distribution(s) to a time series analysis where we will calculate wind speeds, gross yields, and net yields or each record in the timeseries and base the long-term estimates on this. 



 

The time series data can be uploaded as previously in the ‘Time Series Locations’ library, where time series data and frequency distribution charts have been added. 


 

In the Scenario Overview and Finance, the values relating to the production will be updated with the values from the time series analysis. You can confirm this from the non-Weibull frequency distribution.   

The production values can also be seen in the Wind Temporal Analysis section where you will now see more detail on the time series calculations.  


Method descriptions   

Before this update, our P50 production values were calculated from the median year in the time series. We have switched to a monthly means method, which will nullify the effect of seasonally unbalanced datasets, and provide more representative results for shorter timeseries of only a few years as are common for site measurements.    

Youwind will calculate the expected production in kilowatt hours for each month by calculating the power generation in kilowatts for each timestamp, calculating an average power value for each month, and multiplying this by the average month length.