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Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis

Hayes, Liam; Stocks, Matt; Blakers, Andrew


Accurate long-term wind speed data is important for understanding the role of offshore wind farms in future energy systems. Meteorological reanalyses, such as ERA5, are relied upon by the wind energy industry and researchers. Being unaffected by onshore topography and surface roughness, the historic generation of offshore wind farms can be accurately predicted using such weather reanalysis. In this work we present a new method for using ERA5 weather data to model long term (>40 year) hourly...[Show more]

CollectionsANU Research Publications
Date published: 2021
Type: Journal article
Source: Energy
DOI: 10.1016/


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