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<< Click to Display Table of Contents >> Importing Satel-light data |
  
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<< Click to Display Table of Contents >> Importing Satel-light data |
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(Go directly to Satel-light main page)
PVsyst provides an automatized link for importing Satel-light data.
•First get a standard Satel-light Data file "NomSite.tsv" from the www.satellight.com site, following the recommended procedure.
•In PVsyst, open "Tools" / "Import Meteo Data", and follow the instructions displayed in red, i.e.:
•Choose your source file "NomSite.tsv"
•The site and country names are automatically set if they have been defined in the Satel-light file.
•Define the region, which will be Europe in normal cases.
•If the source file includes data of several years (usually 5 years), choose the year.
NB: PVsyst meteo data cannot cover more than one year. By default, the year will be part of the PVsyst file name "NomSite_Year.met", so that you may create data for the same site and each year.
• All Years: you can also import all years present in your source file at a time (usually 1996-2000). The program will create the five yearly files, and a "Site" file with the monthly averages. This may be used for creating a synthetic hourly file representing the average of the 5 years. Please remember that averaging hourly values doesn't make sense: only monthly values are sufficiently aggregated to be averaged over several years. But in this case you loose the advantage of hourly measurements.
•In the present state the temperatures - required for PVsyst simulation - are not present in the Satellight data. Therefore they have to be defined, in monthly values. The PVsyst procedure will invite you to define these values, which may be imported from any close site from the database.
•Press "Import" for creating the hourly meteo file (*.met), along with a site file (*.sit) with monthly values for use in PVsyst.
The importing procedure will then generate synthetic hourly temperatures (according to irradiances), using the usual synthesis model,
•Please carefully check the data quality, using the graphs of hourly values. Especially check the values of some clear days, against the clear day model.