PVGIS energy and weather statistics for Oceania region

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Homepage Info Manual Post processed PVGIS version 5.1 data, Oceania

Motivation: wanted to see daily and seasonal fluctuations for renewable energy for different locations of the world, using hourly data from the PVGIS tool.

Most of Oceania is not covered by PVGIS 5 models, therefore the main covered locations are listed instead of using a map.

Country	City
Australia	Perth
Hawaii	Honolulu

PVGIS version 5.1 post processing info

Select a location on the map to access post-processed statistics, and use the menu to select another continent. Data from PVGIS version 5.1 is used for weather and PV power, and a simple model is used to assess wind power potential of a site. More accurate wind power models are provided at the Renewables.ninja website. Following re-analysis models are used for Oceania:

solar: PVGIS-SARAH (purple)
wind, at a height of 10m: ERA-interim

We provide post-processed results using data for years 2005 to 2015, with UTC data converted to local time. For solar we model fixed building integrated photovoltaic solar panels with an optimal inclination angle. More solar options can be explored with the PVGIS tools.

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.

Data quality: Wind energy model limitations

References:

[1]

Overview of PVGIS data sources and calculation methods.

joint-research-centre.ec.europa.eu/pvgis-photovoltaic-geographical-information-system/getting-started-pvgis/pvgis-data-sources-calculation-methods_en

[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.

doi: 10.1016/j.solener.2012.03.006

[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.

doi:10.3390/rs6098165

[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.

doi:10.3390/en8065159

[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.

doi: 10.5676/EUM_SAF_CM/SARAH/V001

[6]

Hersbach, H, Bell, B, Berrisford, P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999– 2049.

doi: 10.1002/qj.3803

[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.

doi: 10.1016/j.rser.2018.03.003

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

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