International Journal of Engineering and Innovative Research

Yazarlar: Durmuş Fatih MENGİ, Sedat METLEK

Konular:Mühendislik

Anahtar Kelimeler:Rüzgar Enerjisi,Ekserji Analizi,Enerji Potansiyeli,Yapay Sinir Ağları

Özet: In this study, 21 points where latitude and longitude intersect from in Turkey's Mediterranean Coast, wind Exergy analysis and artificial neural network were compared with conventional methods of calculation. For this purpose, monthly average surface temperature, surface pressure and wind speed values obtained from NASA between 1981 and 2018 were used. An exemplary wind turbine model has been created with the data received from NASA, and the maximum energy and exergy values it can produce have been calculated by classical calculation methods. At the end of the study, the values obtained by artificial neural network and the values obtained by classical calculation methods were compared, and accurate results were obtained with an average square error rate of 0.00024%. In this way, the exergy analysis results needed by investors and other decision makers who will invest in wind power plants in the first place have been quickly calculated with very little data.

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