Predictive Bias Potential in ERA5 and MERRA-2 Reanalysis Datasets – A Poster by Eron Jones

05/16/2024 - Recent analysis suggests the potential for discontinuity in interannual variations for each data source, which can introduce significant bias.

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Wind Measurements for small offshore projects: Are they worth it? – A Poster by Dan Bernadett

05/16/2024 - We explore the economic value of deploying one or two buoys for a small offshore wind farm, and whether to use one or two lidar units per buoy.

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Nacelle Anemometer Power Curve Measurements – A Poster by Dan Bernadett and Guilherme Pedrosa

05/16/2024 - This poster shows the importance of quality assurance when using the Nacelle Transfer Function (NTF) derived from one site to apply to another site.

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Poster: Unified Wind Dataset for Offshore Metocean Analysis and Wind Resource Assessment

04/22/2024 - Producing a “Unified WRF Dataset” that meets the requirements of both the offshore wind resource assessment and metocean studies. A poster by Mark Stoelinga.

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Long-range wake loss considerations in South Africa Offshore wind development

09/09/2022 - As offshore wind farm density increases, long-term energy production risk increases greatly due to long-range wakes. A presentation by Gregory S. Poulos

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Impact of interannual variation of ERA5 and MERRA-2 datasets on long-term wind speed predictions

09/08/2022 - Long term wind speed predictions using era5 and merra-2 data can be significantly impacted depending on the lookback period used. A poster by Eron Jones.

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Practical Innovation: Wakes, Turbulence, and  Wind Farm-Atmosphere Interaction

09/08/2022 - The complex interaction of a wind farm with the athmosphere is more than just wakes. A presentation by Gregory Poulos.

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Seasonal Variation of Power Curves

09/08/2022 - Seasonal variation of performance: Is this happening at my project? What can I do to fix it? A presentation by Daniel W. Bernadett.

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US Wind Farm Degradation Study:  Getting Under the Hood

09/08/2022 - It is still vital to understand and “know” your data. How can outliers and issues with methodology lead to wrong conclusions? A presentation by Liz Walls.

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