Abstract
In this paper, a new method for generating test reference year (TRY)
from the measured meteorological variables is proposed. Hourly recorded
data of air temperature, relative humidity and wind velocity for
two stations, Valladolid and Madrid (Spain) were selected to develop
the method and a TRY was obtained. Monthly average solar radiation
values were calculated taking into account the temperature and solar
radiation correlations. Four different methodologies were used to
evaluate hourly global solar radiation from hourly weather data of
temperature and, as a consequence, four different TRYs with common
data sets of temperature, relative humidity and wind velocity were
generated for Valladolid and Madrid (Spain) stations. In order to
evaluate the four different methodologies, TRYs data were compared
with long-term measured data series using statistical estimators
such as average, standard deviation, root mean square error (rmse)
and mean bias error (mbe). Festa and Ratto and the TAG model, from
Aguiar and Collares-Pereira, respectively, turned out to be the best
methods for generating hourly solar irradiation data. The best performance
was shown by the TRY0 year which was based on the solar radiation
models mentioned above. The results show that the best reference
year for each site varies with the season and the characteristics
of the station.
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