DATASET

Solar 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 solar power generation dataset derived from meteorological sources that is available up to NUTS-2 level. It was generated applying the PVGIS model to capture local geographical information to generate meteorologically derived solar power time series at high temporal and spatial resolution. This allows for a better understanding of the solar 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. doi:10.1016/j.apenergy.2015.08.104

- Gonzalez-Aparicio, I; Monforti, I; Zucker, A; Careri, F; Huld, T; Volker, P; Badger, J (2017) Simulating European wind power generation applying statistical downscaling to reanalysis data. Applied Energy 199, 155-168

- Monforti, F; Gonzalez-Aparicio I (2017) Comparing the impact of uncertainties on technical and meteorological parametners in wind power time series modelling in the European Union. Applied Energy (under review)

Contact

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

Contributors

How to cite

Gonzalez Aparicio, Iratxe; Huld, Thomas; Careri, Francesco; Monforti Ferrario, Fabio; Zucker, Andreas (2017): Solar 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-solar-generation-time-series

Keywords

hourly time series solar energy SETIS power generation

Data access

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

Publications

Publication
EMHIRES dataset: Part II: Solar Power Generation: European Meteorological derived HIgh resolution RES generation time series for present and futures scenarios: Part II: PV generation uding the PVGIS model
Gonzalez Aparicio I; Huld T; Careri F; Monforti-Ferrario F; Zucker A. EMHIRES dataset: Part II: Solar Power Generation: European Meteorological derived HIgh resolution RES generation time series for present and futures scenarios: Part II: PV generation uding the PVGIS model. EUR 28629 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2017. JRC106897
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    EMHIRES is the first publicly available European solar power generation dataset derived from meteorological sources that is available at country, bidding zone, NUTS-1 and NUTS-2 level. It was generated applying using the validated and robust PVGIS model to estimate the solar electricity potential capturing local geographical information to generate meteorologically derived solar power time series at high temporal and spatial resolution, validated with transmission system operators' data.

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

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
2017-06-01
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-solar-generation-time-series
Popularity
13 Oct 2021: 1 visits