2022 MAY 12 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Current study results on Energy - Energy Conversion and Management have been published. According to news reporting out of Chelyabinsk, Russia, by NewsRx editors, research stated, “The core of Wind Power, considered as one of the most dynamically developed technologies, consists primarily of the Horizontal Axis Wind Turbines (HAWT) which have a known problem of yawing error, systematically evaluated in at least 3-4 degrees. This error is caused not only by the hysteresis of chasing the wind flow direction fluctuations by yaw system, but also by periodical wind flow deviation from the rotating blades.”
Financial supporters for this research include Russian Foundation for Basic Research, Agreement RFBR, ERAZMUS+, Aristotle University of Thessaloniki, Greece.
Our news journalists obtained a quote from the research from South Ural State University, “In this research the authors have proved the yawing error phenomenon by experimental observation and numerical simulation, and have found the analytic solution to significant reduction of yawing error.The experiment with the SWT-3.6-120 HAWT nacelle based weather vane has proved the periodical nature of wind flow oscillations caused by the rotating blades. The numerical Computational Fluid Dynamics (CFD) modeling of the wakes behind the rotating blades, on the base of the Navier-Stokes equations and k-epsilon turbulence model, has shown the similar picture on the nacelle top, which is considered as the input signal set for the weather vane and hence a yaw system. The periodical yawing error caused by the flow deviation was named as a ‘differential error’ of yawing.The similarity of the experimental and modeling results allowed then using the Matlab Simulink software for functional modeling of the weather vane behavior with yawing error estimation and evaluation of the corresponding power reduction. Using the series of simulation experiments it was determined that the integration of compensator with the yaw control system would lead to considerable yaw differential error reduction and increase the output power at least on 3.37%.”
According to the news editors, the research concluded: “The developed approach may become a basic method for the built-in differential yaw error reduction algorithm for any and all HAWTs.”
This research has been peer-reviewed.
For more information on this research see: Horizontal Axis Wind Turbine Yaw Differential Error Reduction Approach. Energy Conversion and Management, 2022;254. Energy Conversion and Management can be contacted at: Pergamon-elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Energy Conversion and Management - http://www.journals.elsevier.com/energy-conversion-and-management/)
Our news journalists report that additional information may be obtained by contacting Evgeny V. Solomin, South Ural State University, Chelyabinsk, Russia. Additional authors for this research include Aleksandr A. Terekhin, Denis R. Ismagilov, Andrey S. Martyanov, Anton A. Kovalyov, Gleb N. Ryavkin and Aleksandr N. Shishkov.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.enconman.2022.115255. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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