Spring 2017, Volume 1 - Number 1 علمی-پژوهشی (وزارت علوم) (8 صفحه - از 71 تا 78)
Wind energy is the most economic and clean energy, which has considerably developed in recent years.Wind turbines can be classified by different indicators. One of the main classifications is basedon the drive train and generator technologies. This study is based on a multi-parameter survey to developan optimal decision-making algorithm for the technology selection. Two key technologies, including PermanentMagnet Generator (PMG) turbines and geared Doubly Fed Induction Generator (DFIG) turbines,are considered to be suitable options according to turbine and sites’ technical, economic and geographicalparameters. Economic indices, such as IRR and NPV of a wind farm, are reported for each technologyused in the model.A 50MW wind farm in Iran has been modeled in this article as a case study. Results show that accordingto Iran’s financial and economic fluctuations, a DFIG turbine, with 43% IRR and 52 M NPV is the mostefficient technology for Iran. Specifically, its low initial investment and high efficiency and 48% capacityfactor make this turbine as the most suitable technology for Iran. Results show that 3.9 and 4.2 yearspayback period for DFIG and PMG wind turbines respectively, therefore the PMG turbines require alonger payback period for the wind farm.
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