Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

Dataset · Tue Oct 15 04:00:00 EDT 2024

DOI:https://doi.org/10.25984/2480349· OSTI ID:2480349

Buster, Grant ^[1]; Pinchuk, Pavlo; Lavin, Luke; Benton, Brandon; Bodini, Nicola

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1. The National Renewable Energy Lab (NREL)

To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Administration (NOAA) (Dowell et al., 2022). Several barriers have prevented the HRRR's widespread proliferation in the wind energy industry: missing timesteps (prior to 2019), challenging file format for wind energy analysis, limited vertical height resolution, and negative bias versus legacy WIND Toolkit data (2007-2013). NREL has applied re-gridding, interpolation, and bias-correction to the native HRRR data to overcome these limitations. This results in the now-publicly-available bias corrected and interpolated HRRR (BC-HRRR) dataset for weather years 2015 to 2023. Bias correction is necessary for wind resource consistency across weather years to be used simultaneously in planning-focused grid integration studies alongside the original WIND Toolkit data. We show that quantile mapping with the WIND Toolkit as a historical baseline is an effective method for bias correcting the interpolated HRRR data: the BC-HRRR has reduced mean bias versus comparable gridded wind resource datasets (+0.12 m/s versus Vortex) and has very low mean bias versus ground measurement stations (+0.01 m/s) (Buster et al., 2024). BC-HRRR's consistency with the legacy WIND Toolkit allows NREL to extend grid integration analysis to 15+ weather years of wind data with low-overhead extensibility to future years as they are made available by NOAA. As with historical datasets like the WIND Toolkit, BC-HRRR is intended for use in grid integration modeling (e.g., capacity expansion, production cost, and resource adequacy modeling) both independently and alongside the legacy WIND Toolkit.

• Research Organization: DOE Open Energy Data Initiative (OEDI); The National Renewable Energy Lab (NREL)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
• Contributing Organization: The National Renewable Energy Lab (NREL)
• OSTI ID: 2480349
• Report Number(s): 6218
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

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wind toolkit