2009
DOI: 10.1016/j.renene.2008.04.041
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Design optimization and site matching of direct-drive permanent magnet wind power generator systems

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Cited by 84 publications
(71 citation statements)
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“…For a wind turbine with a fixed pitch angle of blades, the tip-speed ratio has an optimum value (λ opt ) for which the power coefficient is at a maximum (C p max ). It is specified that the optimal tip-speed ratio ranges from 6 to 8 and that the maximum power coefficient varies between 0.4 and 0.5 for large WTSs [18]. The analytic expression for the maximum value of power coefficient with the optimum tip-speed ratio is given as follows:…”
Section: Modeling and Design Of Wtsmentioning
confidence: 99%
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“…For a wind turbine with a fixed pitch angle of blades, the tip-speed ratio has an optimum value (λ opt ) for which the power coefficient is at a maximum (C p max ). It is specified that the optimal tip-speed ratio ranges from 6 to 8 and that the maximum power coefficient varies between 0.4 and 0.5 for large WTSs [18]. The analytic expression for the maximum value of power coefficient with the optimum tip-speed ratio is given as follows:…”
Section: Modeling and Design Of Wtsmentioning
confidence: 99%
“…The amount of produced energy by a WTS changes according to the site, because different sites have different wind characteristics in terms of mean wind speed, frequency, and direction. Accordingly, there have been a number of studies on performing site-specific design optimization of WTSs in the literature [5,[10][11][12][13][14][15][16][17][18]. A basic model for COE was given in [5].…”
Section: Introductionmentioning
confidence: 99%
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“…It is not surprising how great the interest in wind potential is because its usage has many advantages. Most cost-effective and reliable large wind energy conversion systems are becoming the main focus of wind energy technology development in order to make this type of energy competitive with the other, more traditional sources of electrical energy production from energents like coal, gas and nuclear generation (Li, Chen, 2009). …”
Section: Introductionmentioning
confidence: 99%