Modelling of the operating temperature of the silicon photovoltaic panel

Razvojem tehnologije, dolazi do veće potražnje za električnom energijom. Neobnovljivi izvori energije još uvijek daju najveću količinu električne energije. Budući da su rezerve neobnovljivih izvora energije sve manje, a ograničene su, do izražaja dolaze obnovljivi izvori energije poput vjetra i sunca. U zadnjim desetljećima dolazi do ulaganja u razvoj tehnologije fotonaponskih modula. Zbog njihove praktične primjene, teži se postići što veća iskoristivost sunčeve energije. Karakteristike fotonaponskog panela ovise o radnoj temperaturi panela koja ima centralnu ulogu u procesu pretvorbe energije u fotonaponskim panelima. Zadatak ovog rada je pronaći model u matematičkom programskom alatu Matlab preko kojeg možemo odrediti radnu temperaturu panela ovisno o vanjskim parametrima (sunčevu zračenju, kutu nagiba panela, brzini vjetra, temperaturi okoline) . Radnu temperaturu dobivenu modelom ćemo usporediti sa podacima dobivenim mjerenjima te odrediti ispravnost modela.With technological development, there is a growing demand for electricity. Non-renewable energy sources still provide the largest amount of electricity. Since the reserves of non renewable energy sources are less available and finally limited, renewable energy sources such as wind and sun are becoming more attractive. Therefore, in the last decades investments have been made in the development of photovoltaic technology. To achieve partical application, it is important to obtain sufficient efficiency of solar energy conversion. The properties of the photovoltaic panel depend on its operating temperature which has a central role in the energy conversion process of photovoltaic panels. The goal of this thesis is to find a model in the mathematical programming tool Matlab, which can be used to determine the operating temperature of the panel depending on various external parameters ( solar radiation, solar panel angle, wind speed, ambient temperature). The operating temperature obtained by the model will be compared to data obtained by measurements, therefore determining the preciseness of the model