Aerodynamics and statistical analyses of conventional and diffuser augmented wind turbines
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Özet (EN)
In this study; the wind energy production status of the World, Europe, and Turkey were reviewed in comparison with the other renewable energy sources. More specifically, wind energy situation of the World and Turkey was also examined in detail. Firstly, wind power estimation and analysis of a considered region in Turkey were conducted by statistical techniques. Secondly, the evaluation of the power generation and the efficiency of a wind farm located in Turkey were performed. Assessments of the aerodynamics of running wind turbines and evaluations of their operational procedure in the active wind farms in Turkey were conducted in the third and fourth stages of the study. The following three distinct studies include modeling and estimation of parameters such as aerodynamic structure, power output, and the power coefficient, utilizing artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). On the other hand, the comparisons by means of power generations and aerodynamics of currently operating selected wind turbines were reported in the eighth part of the study. In the following two parts of the study, it was focused on examining the increase of wind power output originated from the wind speed enhancement as a result of the innovative casing system of wind turbines. The most effective casing types and their related designs found in the literature are also evaluated within this thesis. Finally, the increase of wind speed in some designed wind turbine casing structures and flow characteristics inside these casing structures were investigated in detail, utilizing numerical and experimental methods. Keywords: Aerodynamics of conventional bare wind turbines, analysis of wind power, design parameters of diffuser augmented wind turbines, wind energy
Yazar
Akın İlhan
Bu Yayına Nasıl Atıf Yapılır
Akın İlhan (Doctorate thesis). Aerodynamics and statistical analyses of conventional and diffuser augmented wind turbines, 2019, Çukurova University.
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