수직축 풍력터빈 성능예측을 위한 2.5-D CFD 적용
Utilization of 2.5-D CFD on the Performance Prediction of Vertical Axis Wind Turbine
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초록
Recently, vertical axis wind turbines have been widely used to produce electricity even in urban. This system has severalmerits, such as low sound noise, easy installation of the generator, and simple structure without a yaw-control mechanism and so on. However, its blades are operated under the influence of the trailing vortices generated by the preceding blades. This phenomenondeteriorates its output power, and also makes difficulty in predicting correctly its performance. Even though there are many predictionmethods, the CFD could be a very accurate prediction method. For this, this method needs the transient analysis and three-dimensional(3-D) computation. However, this full 3-D CFD could be hard to be a practical tool because it requires huge computation time. Therefore, the reduced computational domain was applied as a practical method. In this study, the computations were conducted in thereduced computational domain and compared with the experimental results reported in the literature. It was examined the mechanismof the difference between the experimental results and the computational results. In addition, it showed this computational methodcould be an effective method in the design methodology using the optimization algorithm.
Abstract
Recently, vertical axis wind turbines have been widely used to produce electricity even in urban. This system has severalmerits, such as low sound noise, easy installation of the generator, and simple structure without a yaw-control mechanism and so on. However, its blades are operated under the influence of the trailing vortices generated by the preceding blades. This phenomenondeteriorates its output power, and also makes difficulty in predicting correctly its performance. Even though there are many predictionmethods, the CFD could be a very accurate prediction method. For this, this method needs the transient analysis and three-dimensional(3-D) computation. However, this full 3-D CFD could be hard to be a practical tool because it requires huge computation time. Therefore, the reduced computational domain was applied as a practical method. In this study, the computations were conducted in thereduced computational domain and compared with the experimental results reported in the literature. It was examined the mechanismof the difference between the experimental results and the computational results. In addition, it showed this computational methodcould be an effective method in the design methodology using the optimization algorithm.
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