The following information has been provided for investors interested in solar insolation levels in South Australia.
The maps show the average daily direct normal irradiance (DNI) and the average daily global horizontal irradiance (GHI). DNI is relevant for the siting of concentrated solar power systems and GHI is relevant for flat plate solar collectors, typically non-concentrating photovoltaic panels and solar hot water systems.
Data for the maps is based on hourly irradiance data averaged for each month and provided by the Bureau of Meteorology’s National Climate Centre 1998 – 2007. The gridded data covering Australia(for which the colour map is a graphical representation) has resolution intervals at 5 km.
Solar Modelled Time Series Data
RenewablesSA has commissioned 3TIER to provide solar insolation and weather data for four key sites in South Australia. Potential investors can use this data to run design simulations and find the likely electricity output a solar power station would produce at each location. The solar insolation data has been interpolated from the past 10+ years of half hourly high-resolution visible satellite imagery; and the wind, temperature and relative humidity have been determined from 10+ years of simulated data (see the reports for more detail). The four modelled sites are: Pimba, Port Augusta, Neuroodla and North West Bend.
For each site the following is provided: a report giving an overview of the analysis; a time series comma separated value (CSV) file including hour-ending mean data for Global Horizontal Irradiance, Direct Normal Irradiance, Diffuse Irradiance, Zenith Angle, Azimuth Angle, Wind Speed at 10m, Wind Direction at 10m, Air Temperature at 2m, and Relative Humidity at 2m. The key variables are also summarised in monthly and hourly diurnal tables, again provided as CSV files. Typical Meteorological Year (TMY) files have been created in the TMY2 data format for use in existing software that is unable to process the entire time series data set. The TMY files were created using an empirical approach that selects samples from the full time series to create a “typical year” of data with 8760 hours, while preserving the following characteristics of direct normal irradiance: monthly means, monthly cumulative distirbution of daily means, diurnal cycle, and the annual mean.