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W IND E NGINEERING VOLUME 37, N O. 2, 2013 PP iii-iv iii Welcome to the second issue for 2013. As usual, we feature a number of excellent wind engineering papers from a group of distinguished international researchers, and industrial based wind engineers. Our first paper is by Sheela and Deepa from Anna University (India). They present a comprehensive review of neural network models for wind speed forecasting. The next paper discusses a novel use of a measure-correlate-predict method for prediction of turbulence intensity distribution. The author, Casella, is from Suzlon Energy in Denmark. The third paper presents a method, and a case study, for assessing the repowering potential of wind farms. Its authors are Nivedh (Quality Engineering and Software Technologies (India)), Devi (College of Engineering, Guindy (India)) and Sreevalsan (Gamesa Wind Turbines (India)). The next paper is focused on wake effects and siting and is authored by Corscadden, Lubitz, Thompson, and McCabe from the Dalhouse University and the University of Guelph (Canada). In this paper they examine the impact of natural and man-made obstructions on local wind conditions and the performance of small wind turbines when impacted by wake effects. The fifth paper of this issue investigates a hydraulic self-yaw system designed to reduce the loading of the wind turbine structure. Its authors are Stubkier and Pedersen from Aalborg University (Denmark). The subject of controls design is our next paper presented by Li and Balas from the University of Wyoming (U.S.). They have formulated an aeroelastic model to analyze blade dynamics and design blade vibration suppression control strategy for a wind turbine. The final paper of this issue is from Rios (University of Europea of Madrid (Spain)) and Gasco (University of Alicante (Spain)). In this paper they examine the transient response of a variable speed wind farm during two and three-phase voltage sags or grid fault.
Wind Engineering – SAGE
Published: Apr 1, 2013
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