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<< Click to Display Table of Contents >> Meteonote5: Data averaging |
  
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<< Click to Display Table of Contents >> Meteonote5: Data averaging |
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Meteorological data are often available for several individual years, and aggregating them for obtaining an average situation is not straightforward.
Only Monthly meteo values may be averaged, as the seasonal distribution is not very different from one year to another one.
Hourly or Daily values cannot be averaged. It would not make any sense to construct an average year by aggregating each day of different years, mixing sunny and cloudy days. This would result in a time series with only mean days, without clear nor bad days, which has no physical meaning.
The right way for obtaining average conditions for hourly data is the construction of TMY / DRY, which should obey statistical constraints and is a matter for specialists.
Therefore for obtaining the average behavior of a complete PV system from several real years, you have two solutions:
-either you accumulate your meteo (hourly or daily) data in monthly sums, average the monthly values and generate a new Synthetic hourly file.
-or you perform several one-year simulations with your different real meteo hourly files, and then average the results of the simulations.