Óptima ubicación de aerogeneradores basado en el Atlas Eólico para maximizar la potencia generada

In this article, we present the results of energy production estimation of a wind field located in a site based on the Wind Atlas. The objective is to design an efficient wind field optimizing the generation power, with computational fluid dynamics analysis, maximizing energy production in each wind...

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Autor Principal: Mejía Yépez, Alexis Wladimir
Formato: bachelorThesis
Idioma: spa
Publicado: 2018
Materias:
Acceso en línea: http://dspace.ups.edu.ec/handle/123456789/16066
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Sumario: In this article, we present the results of energy production estimation of a wind field located in a site based on the Wind Atlas. The objective is to design an efficient wind field optimizing the generation power, with computational fluid dynamics analysis, maximizing energy production in each wind turbine. The values given by a field analysis will be obtained for the estimation of energy production in any location of the wind atlas. In the first instance, the wind atlas allows georeferencing of the areas with a high probability of energetic production. Although this information doesn't consider the sites own characteristics that modify the potential. For this reason in a second instance we proceed to select a particular case of study, where with the help of software and 3D reconstruction techniques, a dynamic analysis of computational fluids can be performed, with which a modeling of the energy resource is obtained. Same analysis can be applied to any location in the Wind Atlas. Finally, the results will be analyzed with the help of mathematical modeling to establish an estimate of energy production, where factors close to reality such as: terrain, wind speed and turbulent shaded areas between wind turbines are considered. To maximize the performance of the turbines of generation in the field, we will optimize the number of wind turbines with respect to the maximum wind speed. With this, a maximum use in electric potential is achieved in each wind turbine.