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2016 51st International Universities Power Engineering Conference (UPEC) 2016
DOI: 10.1109/upec.2016.8114132
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Developing a wind and solar power data model for Europe with high spatial-temporal resolution

Abstract: Abstract-This paper describes a wind and solar power production model for Europe based on the numerical weather prediction model COSMO-EU. The COSMO-EU model has hourly time resolution and a spatial resolution of 7 km x 7 km for Europe. The model is validated against power production information from the system operators in Denmark, Germany and Spain. Mean Average Error (MAE) (hourly error averaged for a year) relative to the wind installed capacity is in the range 4.9% -5.9% for wind power production and 2.4%… Show more

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Cited by 6 publications
(8 citation statements)
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“…The model is formulated as a mixed‐integer linear program and incorporates variability in wind, solar, hydro and load by sampling multiple, hourly time steps from full‐year profiles (Härtel, Kristiansen, & Korpås, ; Kristiansen, Härtel, & Korpås, ). Consequently, this sampling approach ensures that different power flow patterns are accounted for since time series are generated for unique geographical coordinates from numerical weather data (COSMO‐EU) (Graabak, Svendsen, & Korpås, ).…”
Section: Methodsmentioning
confidence: 99%
“…The model is formulated as a mixed‐integer linear program and incorporates variability in wind, solar, hydro and load by sampling multiple, hourly time steps from full‐year profiles (Härtel, Kristiansen, & Korpås, ; Kristiansen, Härtel, & Korpås, ). Consequently, this sampling approach ensures that different power flow patterns are accounted for since time series are generated for unique geographical coordinates from numerical weather data (COSMO‐EU) (Graabak, Svendsen, & Korpås, ).…”
Section: Methodsmentioning
confidence: 99%
“…That model provides hourly wind and solar resources for the years 2011 -2015 with a spatial resolution of 7 km x 7 km for the whole Europe [6]. Reference [7] describes the COSMO model, calculation of wind and PV power production and validation of the calculations by comparison with real production data from Transmission System Operators. Based on the same methodology as described in [7], this paper calculates wind power and PV power productions hour by hour by using COMSO weather data and capacities from the eHighway project.…”
Section: Methodsmentioning
confidence: 99%
“…Reference [7] describes the COSMO model, calculation of wind and PV power production and validation of the calculations by comparison with real production data from Transmission System Operators. Based on the same methodology as described in [7], this paper calculates wind power and PV power productions hour by hour by using COMSO weather data and capacities from the eHighway project. The hourly resulting time series with high spatial resolution are aggregated to national level.…”
Section: Methodsmentioning
confidence: 99%
“…Linear interpolation has been applied in order to obtain hourly time series at the selected points. Wind speed time series correspond to the height of 45 m above the sea surface and since wind turbines' hub height are typically higher (around 100 m); adjustment factors based on [15] are used in wind power time series calculation. It is apparent from the histogram that wind data can be well fit into the Weibull probability distribution function.…”
Section: A Wind Energy Data Analysismentioning
confidence: 99%