Spatial data to determine solar energy potentials and selecting suitable sites:
High spatial resolution maps of irradiance sums can be used to determine the solar energy
potential of a defined region. The following map shows the annual direct irradiance in
Morocco for the year 1998:

Direct irradiance Map of Morocco copyright © 2003 by
DLR
This data can further be used together with geographical information and economical data to determine
e.g. levelised electricity costs for solar thermal power plants in this region. The result is a ranking
of eligible sites, as shown in the following image. This analysis has been done with the tool
STEPS.

Ranking of eligible sites for a 200 MW solar thermal trough plant,
solar only, copyright © 2003 by DLR
This information can be used to find the best suitable location to plan a solar power project.
Time series data to analyze a project location:
An analysis of site for a solar energy project needs a long term time series of solar irradiance data,
to be able to make reliable predictions on the performance of a solar power system. The following figure
compares measured annual averages from Potsdam, Germany to the long term climatological average:

Maximum deviation of annual irradiance from long term
averages in Potsdam, copyright © 2002
Volker Quaschning
A time series of at least 10 years is needed to reduce the error of the predicted incoming
irradiance below 5%.
To analyze a potential project site a time series of hourly data can be extracted from the data
base for every location:

The extracted data will be a quality checked homogenized long term time series which is the ideal
bases for detailed economic evaluation of a proposed solar power project, which can be done e.g.
with greenius.