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Delegates are invited to meet and discuss with the poster presenters during the poster presentation sessions between 10:30-11:30 and 16:00-17:00 on Thursday, 19 November 2015.

Lead Session Chair:
Stephan Barth, ForWind - Center for Wind Energy Research, Germany
Andres Honrubia-Escribano Universidad de Castilla La Mancha, Spain
Andres Honrubia-Escribano (1) F Emilio Gomez-Lazaro (1) M Carmen Bueso-Sanchez (2) Mathieu Kessler (2) Angel Molina-Garcia (2)
(1) Universidad de Castilla La Mancha, Albacete, Spain (2) Universidad Politecnica de Cartagena, Cartagena, Spain

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Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

Andres Honrubia-Escribano is with the Institute of Renewable Energies (UCLM). He received is PhD Degree in 2013 (Universidad Politécnica de Cartagena, Spain). Currently, his field of interest includes wind energy modeling and integration of renewable energy resources into the grid.


Poster Download poster (11.11 MB)


Estimation of vertical wind speed profiles based on alternatives approaches


During the last decade, the nominal power of wind turbines have been significantly increased and, in parallel, the area swept by the blades with large rotor diameters. Under this scenario, and considering that power extracted from wind is highly dependent on wind speed profiles, it is thus necessary to provide accurate and flexible functions to estimate properly wind speed values and their dependence with height. Moreover, from real data collected during field-test campaigns, it should be desirable to minimize the sensitive of those fitted functions with the estimation of parameters. However, current functions usually applied to estimate and fit wind speed data are based on power laws, presenting relevant oscillations under low variations of their parameters. For this reason, alternative fitting functions are proposed in the present paper with the aim of minimizing the dependence with parameters and as an attempt to give new approaches in this field.


From real data collected in Spanish wind farms along several field-test campaigns, alternatives functions are described and assessed to estimate wind speed profiles and offer robust and reliable estimated values. Results are compared with previous functions mostly based on power laws and published in the specific literature.

Main body of abstract

This paper is focused on describing and assessing alternatives fitting functions to estimate, in a more reliable and flexible way, wind speed profiles. According to this purpose, different approaches are proposed and evaluated with real wind speed profile data collected in Spanish wind farms by using commercial current solutions (WindCube Lidar). These alternative approaches aim to minimize the sensitive of parameters, offering a more accurate solutions to estimate wind speed profiles and their dependence with height. The corresponding approaches are also compared with traditional estimations based on power law functions. Results are also included in the paper.


New solutions to estimate wind speed profiles are discussed and evaluated in this paper. These new approaches minimize the dependence with the corresponding parameters and give robust solution to fit real data collected in wind farms. Based on Spanish field-test campaigns, the proposed solutions are assessed and compared with previous contributions mainly based on power law functions.

Learning objectives
The proposed alternative functions can be used to estimate wind speed profiles as well as to fit real data collected in wind farms. The objective is to offer a new view in terms of estimating the dependence of wind speed values with height, which is a crucial point to estimate and determine the expected power to be extracted from wind.