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Monthly weather, degree day, solar energy and wind energy statistics and solar power statistics for Paris

JanFebMarAprMayJunJulAugSepOctNovDec0 %5 %10 %15 %20 %
solar 1056 kWh/y per kWpeakwind 2127 kWh/y per kWpeak1938 HDD/y96 CDD/yMonthly percentage of solar, wind, heating and cooling degree daysParis (lat=48.857° lon=2.351° el=32m)Source: energy.at-site.be/pvgis, non-commercial use permittedData source: PVGIS 5.1 © 2019 European Communities; ERA-interim meteo data 2005-2015Radiation model: PVGIS-SARAH; PV tech: c-Si, Azimuth: 0°, Slope: 38°, system loss 14.0%
Figure 1.1 Paris average monthly percentage of solar and wind energy // heating degree and cooling degree days.

JanFebMarAprMayJunJulAugSepOctNovDec0123456 kWh/d
Average 2.9 kWh/d per kWpeak, years 2005-2015p10averagep90Daily solar energy (kWh/d) per kWpeakParis (lat=48.857° lon=2.351° el=32m)Source: energy.at-site.be/pvgis, non-commercial use permittedData source: PVGIS 5.1 © 2019 European Communities; ERA-Interim meteo dataRadiation model: PVGIS-SARAH; PV tech: c-Si, Azimuth: 0°, Slope: 38°, system loss 14.0%
Figure 1.2 Paris daily solar energy plot.

JanFebMarAprMayJunJulAugSepOctNovDec05101520 HDD/d
Average 5.3 HDD/d, years 2005-2015p10averagep90Daily heating degree days, 15.5 °C (HDD/d)Paris (lat=48.857° lon=2.351° el=32m)Source: energy.at-site.be/pvgis, non-commercial use permittedData source: PVGIS 5.1 © 2019 European Communities; ERA-Interim meteo data
Figure 1.3 Paris daily heating degree days plot.

JanFebMarAprMayJunJulAugSepOctNovDec0246 CDD/d
Average 0.3 CDD/d, years 2005..2015p10averagep90Daily cooling degree days, 21 °C (CDD/d)Paris (lat=48.857° lon=2.351° el=32m)Source: energy.at-site.be/pvgis, non-commercial use permittedData source: PVGIS 5.1 © 2019 European Communities; ERA-Interim meteo data
Figure 1.4 Paris daily cooling degree days plot.

Acknowledgement: many thanks to the PVGIS team for open access to PVGIS 5.1 data from 2005 to 2015. Source - "Photovoltaic Geographic Information System (PVGIS)", European Commission, Joint Research Centre (JRC). Online tool available at re.jrc.ec.europa.eu/pvgis.html - PVGIS Ⓒ European Communities, 2000-2020. In this work, hourly data is post-processed into yearly, monthly and daily statistics - and visualized using boxplots. The main focus of PVGIS is photovoltaic solar. Wind statistics are experimental, and have known issues.

References:

[1]
Overview of PVGIS data sources and calculation methods.
[2]
Huld, T.; Müller, R.; Gambardella, A. A new solar radiation database for estimating PV performance in Europe and Africa. Solar Energy 2012, 86, 1803-1815.
[3]
Gracia Amillo, A.; Huld, T.; Müller, R. A New Database of Global and Direct Solar Radiation Using the Eastern Meteosat Satellite, Models and Validation. Remote Sensing 2014, 6, 8165-8189.
[4]
Huld, T.; Gracia Amillo, A. Estimating PV Module Performance over Large Geographical Regions: the role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum. Energies 2015, 8, 6, 5159-5181.
[5]
Müller, Richard; Pfeifroth, Uwe; Träger-Chatterjee, Christine; Cremer, Roswitha; Trentmann, Jörg; Hollmann, Rainer (2015): Surface Solar Radiation Data Set - Heliosat (SARAH) - Edition 1, Satellite Application Facility on Climate Monitoring.
[6]
Hersbach, H, Bell, B, Berrisford, P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999– 2049.
[7]
Manajit Sengupta, Yu Xie, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby, The National Solar Radiation Data Base (NSRDB), Renewable and Sustainable Energy Reviews, Volume 89, 2018, Pages 51-60.

Additional PVGIS publications are available at: ec.europa.eu/jrc/en/PVGIS/about/who.


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