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

RENEWABLE ENERGY

卷:102

Article

James, Eric P.^1,2  Benjamin, Stanley G.¹  Marquis, Melinda¹ 

[1] NOAA Res Earth Syst Res Lab, 325 Broadway, Boulder, CO 80305 USA

[2] Univ Colorado, Cooperat Inst Res Environm Sci, 216 UCB, Boulder, CO 80309 USA

关键词: Wind resource;    Solar resource;    NWP forecast;    Unified wind/solar;   

DOI  :  10.1016/j.renene.2016.10.059

来源: Elsevier

【 摘 要 】

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. (C) 2016 The Authors. Published by Elsevier Ltd.

【 授权许可】

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