alexa Small Wind Power Energy Output Prediction in a Complex Zone upon Five Years Experimental Data
ISSN: 2090-4541

Journal of Fundamentals of Renewable Energy and Applications
Open Access

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Research Article

Small Wind Power Energy Output Prediction in a Complex Zone upon Five Years Experimental Data

Ba MM, Ramenah Harry* and Tanougast C

Department of Electronics, University of Lorraine, France

*Corresponding Author:
Ramenah Harry
Department of Electronics
University of Lorrain
34 Cours Léopold
54000 Nancy, France
Tel: 33-3-87-31-51-05
E-mail: harry.ramena[email protected]

Received Date: January 18, 2017; Accepted Date: February 13, 2017; Published Date: February 15, 2017

Citation: Ba MM, Harry R, Tanougast C (2017) Small Wind Power Energy Output Prediction in a Complex Zone upon Five Years Experimental Data. J Fundam Renewable Energy Appl 7:226. doi: 10.4172/20904541.1000226

Copyright: © 2017 Ba MM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



In this paper, we investigate the performance of a micro-wind turbine in a complex through the power output prediction. The purpose is to show that due to long time period and very subtle onsite measurements the ideal position for the wind turbine can be determined considering experimental data under real conditions. More precisely, from well measured data (wind speed), the power output at one particular location can be approximated by the Weibull function. The considered model is tested and validated at an urban landscape location in Metz city, France, where anemometry is positioned at adjacent to the turbine and the instrumentation is specific to its surrounding location including record wind turbine data thanks to real time wireless communications. Technical data including wind speed and output power were analyzed and reported allowing to provide a reliable estimation of the wind energy potential in an urban location upon five years experimental data.


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