DATASET

Wind hourly generation time series at country, NUTS 1, NUTS 2 level and bidding zones

Collection: EMHIRES : European Meteorological derived High Resolution RES generation time series for present and future scenarios. 

Description

EMHIRES is the first publically available European wind power generation dataset derived from meteorological sources that is available up to NUTS-2 level. It was generated applying an innovative methodology capturing local geographical information to generate meteorologically derived wind power time series at high temporal and spatial resolution. This allows for a better understanding of the wind resource at the precise location of wind farms.

Additional or ongoing publications:

- Gonzalez-Aparicio, I. and Zucker A (2015) Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain. Applied Energy Journal, Vol 159, 334-349. https://doi.org/10.1016/j.apenergy.2015.08.104

- Monforti, F; Gonzalez-Aparicio I (2016) Building a robust and complete database of wind farms in Europe for continental wind power simulations. Data consistency and sensitivity analysis. Energies [Submitted]

- Gonzalez-Aparicio, I; Monforti, I; Zucker, A; Careri, F; Huld, T; Volker, P; Badger, J (2016) Impact of wind speed spatial resolution on power generation hourly time series at different aggregation levels [Submitted]

Contact

Email
jrc-data-energy-union (at) ec.europa.eu

Contributors

How to cite

Gonzalez Aparicio, Iratxe; Zucker, Andreas; Careri, Francesco; Monforti Ferrario, Fabio; Huld, Thomas; Badger, Jake (2016): Wind hourly generation time series at country, NUTS 1, NUTS 2 level and bidding zones. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-emhires-wind-generation-time-series

Keywords

hourly time series wind energy power generation SETIS

Data access

EMHIRES wind power at different aggregation levels
URL 
  • The dataset releases four different files about the wind power generation hourly time series during 30 years (1986-2015), accounting for the existing wind fleet at the end of 2015 for country, NUTS 1 and 2 and bidding zone

Publications

Publication
EMHIRES dataset Part I: Wind power generation. European Meteorological derived HIgh resolution RES generation time series for present and future scenarios
Gonzalez Aparicio I; Zucker A; Careri F; Monforti-Ferrario F; Huld T; Badger J. EMHIRES dataset Part I: Wind power generation. European Meteorological derived HIgh resolution RES generation time series for present and future scenarios . EUR 28171 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2016. JRC103442
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    EMHIRES is the first publically available European wind power generation dataset derived from meteorological sources that is available on NUTS-2 level. It was generated applying an innovative methodology capturing local geographical information to generate meteorologically derived wind power time series at high temporal and spatial resolution. This allows for a better understanding of the wind resource at the precise location of wind farms.

Publication
Meteorological data for RES-E integration studies: State of the art review
Gonzalez Aparicio I, Zucker A. Meteorological data for RES-E integration studies: State of the art review. EUR 27587. Luxembourg (Luxembourg): Publications Office of the European Union; 2015. JRC98779
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    The ongoing growth of RES-E requires power system modellers to adapt both methodologies and datasets, in particular time series for electricity generation from wind and PV. Meteorological models are increasingly used for this purpose. This report provides on overview on the methodologies available and the approaches pursued by recent RES-E integration studies. Based on this review, recommendations for best practice are identified.

Geographic areas

European Union

Spatial coverage

Type Value
GML
<gml:Envelope srsName="http://www.opengis.net/def/EPSG/0/4326"><gml:lowerCorner>-11 35</gml:lowerCorner><gml:upperCorner>40 73</gml:upperCorner>
WKT
POLYGON((-11 73,40 73,40 35,-11 35,-11 73))
GEO
{"type":"Polygon","crs":{"type":"name","properties":{"name":"urn:ogc:def:crs:EPSG:4326"}},"coordinates":[[[-11,73],[40,73],[40,35],[-11,35],[-11,73]]]}

Temporal coverage

From date To date
1986-01-01 2015-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2021-05-26
Issued date
2016-11-10
Landing page
https://setis.ec.europa.eu/ 
Language(s)
English
Data theme(s)
Energy
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-emhires-wind-generation-time-series
Popularity