The improvement of the energy efficiency of buildings calls for the availability of tools for evaluating and simulating the thermal behaviour of buildings. These simulation tools generally need a complete input data set concerning the climatic conditions at a given location. In the most cases, this huge mass of data is very complex, so simple aggregation methods of the meteorological data are needed. The test reference year (TRY) is one of the most used methods. In this paper a comparison between two methodologies for compiling TRY is firstly presented: the Belgian and the Sandi method. Both methodologies have a statistical approach to the problem. Then, the two methods were been applied to the city of Palermo, obtaining quite different results, although a particular caution in the choice of the method for generating such reduced sets of data should be suggested.
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