A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model

Eric P. James, Stanley G. Benjamin and Melinda Marquis

Renewable Energy, 2017, vol. 102, issue PB, 390-405

Abstract: A new gridded dataset for wind and solar resource estimation over the contiguous United States has been derived from hourly updated 1-h forecasts from the National Oceanic and Atmospheric Administration High-Resolution Rapid Refresh (HRRR) 3-km model composited over a three-year period (approximately 22 000 forecast model runs). The unique dataset features hourly data assimilation, and provides physically consistent wind and solar estimates for the renewable energy industry. The wind resource dataset shows strong similarity to that previously provided by a Department of Energy-funded study, and it includes estimates in southern Canada and northern Mexico. The solar resource dataset represents an initial step towards application-specific fields such as global horizontal and direct normal irradiance. This combined dataset will continue to be augmented with new forecast data from the advanced HRRR atmospheric/land-surface model.

Keywords: Wind resource; Solar resource; NWP forecast; Unified wind/solar (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:102:y:2017:i:pb:p:390-405

DOI: 10.1016/j.renene.2016.10.059

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