Wind resource assessment using weather research and forecasting model. A case study of the wind resources at Havøygavlen wind farm
Permanent lenke
https://hdl.handle.net/10037/17252Dato
2019-12-13Type
Master thesisMastergradsoppgave
Forfatter
Fossem, Anders AarhuusSammendrag
The need for energy increases globally due to rapid expansion of population and prosperity.
To meet this demand while decreasing carbon emission and eventually transition out fossil
fuel, efficient utilization of wind power is prominent. This study evaluates the performance
of the Weather Research and Forecast model (WRF) with respect to wind speed and wind
direction. The area of the study is the northernmost wind farm site in the world,
Havøygavlen. It is located just about 50 kilometers southwest of the North cape, consisting
of a complex and coastal terrain. The model simulation period was the entire year of 2017,
and the resulting estimates where compared to on-site data measured at hub height at each of
the 16 turbines located at the site.
In terms of forecasting capability, the Model was evaluated using correlation, Root Mean
Square Error and Bias. The assessment showed little agreement and implementing finer
resolution displayed no apparent improvements. The estimate was particularly vulnerable to
sudden changes in wind speed, and performed more accurately in periods of low to moderate
wind speeds.
Annual weather resource assessment of the site was performed using box plots, annual
average wind maps and wind speed histograms. The model is unsuccessful at capturing the
high complexity of the terrain, ultimately leading to an underestimation of the wind
resources. However, enhanced domain resolution improved the predictive performance,
which agreed adequately with the on-site measurements. Furthermore, the annual average
wind maps provided valuable knowledge about the local wind patterns surrounding the site.
Annual wind roses and wind fields at specific times of high wind speed occurrence was used
to evaluate the model’s estimated wind direction. Enhanced domain resolution showed
improved directional stability and ability to capture the terrain’s effect on the wind before
arriving at the site. As a preliminary wind resource tool, the model performs sufficiently,
despite the complex terrain of the studied area.
Forlag
UiT The Arctic University of NorwayUiT Norges arktiske universitet
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