SEARCH RESULT

Power production of photovoltaic (PV) modules is strongly depends on environmental conditions such as, solar radiation, ambient temperature and wind speed. In other words, PV operating point is changed with environmental factors. Therefore, PV power prediction is significantly important according to environmental conditions. One of the most important issues of PV power prediction is PV operating temperature estimations. While the rising PV module temperature is its short circuit current slightly increases, it causes on sharply decreases its voltage. Thus, power production decreases. This study focuses on PV temperature estimation methods such as, nominal cell operating temperature (NOCT) model, Faiman model, Ross model, King model, Muzathik model and finite differences. These methods are reviewed and compared. Influence of the wind speed on the PV module operating temperature and power production is also investigated. Finally, advantages and disadvantages of the methods are discussed. In all the models, it is reported that while the results of the NOCT, Ross and King models are close to each other’s, those of the Faiman and the remaining models are respectively overestimated and underestimated.

1.st International Conference Energy Systems Engineering
ıcese'17

Cihan Demircan Hilmi Cenk Bayrakçı Ali Kecebas Onur Vahip Güler