Articles | Volume 7, issue 2
https://doi.org/10.5194/wes-7-487-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-487-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Can reanalysis products outperform mesoscale numerical weather prediction models in modeling the wind resource in simple terrain?
Vincent Pronk
National Renewable Energy Laboratory, Golden, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
Mike Optis
National Renewable Energy Laboratory, Golden, Colorado, USA
Julie K. Lundquist
National Renewable Energy Laboratory, Golden, Colorado, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, Colorado, USA
Renewable and Sustainable Energy Institute, Boulder, Colorado, USA
Patrick Moriarty
National Renewable Energy Laboratory, Golden, Colorado, USA
Caroline Draxl
National Renewable Energy Laboratory, Golden, Colorado, USA
Renewable and Sustainable Energy Institute, Boulder, Colorado, USA
Avi Purkayastha
National Renewable Energy Laboratory, Golden, Colorado, USA
Ethan Young
National Renewable Energy Laboratory, Golden, Colorado, USA
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Cited
13 citations as recorded by crossref.
- Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. 10.5194/wes-9-555-2024
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- Developing a 20-year high-resolution wind data set for Puerto Rico J. Yang et al. 10.1016/j.energy.2023.129439
- Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast N. Bodini et al. 10.5194/wes-8-607-2023
- The 2023 National Offshore Wind data set (NOW-23) N. Bodini et al. 10.5194/essd-16-1965-2024
- Offshore reanalysis wind speed assessment across the wind turbine rotor layer off the United States Pacific coast L. Sheridan et al. 10.5194/wes-7-2059-2022
- Detecting and characterizing simulated sea breezes over the US northeastern coast with implications for offshore wind energy G. Xia et al. 10.5194/wes-7-815-2022
- Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review G. Gualtieri 10.1016/j.rser.2022.112741
- A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models D. Millstein et al. 10.1038/s41597-023-02804-w
- Evaluation and Bias Correction of the ERA5 Reanalysis over the United States for Wind and Solar Energy Applications J. Wilczak et al. 10.3390/en17071667
- A coupled turbine-interaction wind farm parameterization in the Weather Research and Forecasting model C. Wu et al. 10.1016/j.enconman.2023.116919
- Hybrid wind-solar energy potential modeling using ERA5 and solar irradiation data in google Earth Engine A. Masoud 10.1016/j.renene.2024.121042
- Validation of wind resource and energy production simulations for small wind turbines in the United States L. Sheridan et al. 10.5194/wes-7-659-2022
13 citations as recorded by crossref.
- Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. 10.5194/wes-9-555-2024
- Exploring the Complementarity of Offshore Wind Sites to Reduce the Seasonal Variability of Generation I. Fernandes et al. 10.3390/en15197182
- Developing a 20-year high-resolution wind data set for Puerto Rico J. Yang et al. 10.1016/j.energy.2023.129439
- Long-term uncertainty quantification in WRF-modeled offshore wind resource off the US Atlantic coast N. Bodini et al. 10.5194/wes-8-607-2023
- The 2023 National Offshore Wind data set (NOW-23) N. Bodini et al. 10.5194/essd-16-1965-2024
- Offshore reanalysis wind speed assessment across the wind turbine rotor layer off the United States Pacific coast L. Sheridan et al. 10.5194/wes-7-2059-2022
- Detecting and characterizing simulated sea breezes over the US northeastern coast with implications for offshore wind energy G. Xia et al. 10.5194/wes-7-815-2022
- Analysing the uncertainties of reanalysis data used for wind resource assessment: A critical review G. Gualtieri 10.1016/j.rser.2022.112741
- A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models D. Millstein et al. 10.1038/s41597-023-02804-w
- Evaluation and Bias Correction of the ERA5 Reanalysis over the United States for Wind and Solar Energy Applications J. Wilczak et al. 10.3390/en17071667
- A coupled turbine-interaction wind farm parameterization in the Weather Research and Forecasting model C. Wu et al. 10.1016/j.enconman.2023.116919
- Hybrid wind-solar energy potential modeling using ERA5 and solar irradiation data in google Earth Engine A. Masoud 10.1016/j.renene.2024.121042
- Validation of wind resource and energy production simulations for small wind turbines in the United States L. Sheridan et al. 10.5194/wes-7-659-2022
Latest update: 14 Nov 2024
Short summary
In this paper, we have assessed to which extent mesoscale numerical weather prediction models are more accurate than state-of-the-art reanalysis products in characterizing the wind resource at heights of interest for wind energy. The conclusions of our work will be of primary importance to the wind industry for recommending the best data sources for wind resource modeling.
In this paper, we have assessed to which extent mesoscale numerical weather prediction models...
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