Development of a wake model for wind farms based on an open source CFD solver. Strategies on parabolization and turbulence modeling

  1. CABEZÓN MARTÍNEZ, DANIEL
Zuzendaria:
  1. Emilio Migoya Valor Zuzendarikidea
  2. Antonio Crespo Martinez Zuzendarikidea

Defentsa unibertsitatea: Universidad Politécnica de Madrid

Fecha de defensa: 2013(e)ko azaroa-(a)k 04

Epaimahaia:
  1. José Luis Hernández Rodríguez Presidentea
  2. Ángel Jiménez Álvaro Idazkaria
  3. Javier Sanz Rodrigo Kidea
  4. Sugoi Gómez Iradi Kidea
  5. Javier García García Kidea

Mota: Tesia

Laburpena

Wake effect represents one of the most important aspects to be analyzed at the engineering phase of every wind farm since it supposes an important power deficit and an increase of turbulence levels with the consequent decrease of the lifetime. It depends on the wind farm design, wind turbine type and the atmospheric conditions prevailing at the site. Traditionally industry has used analytical models, quick and robust, which allow carry out at the preliminary stages wind farm engineering in a flexible way. However, new models based on Computational Fluid Dynamics (CFD) are needed. These models must increase the accuracy of the output variables avoiding at the same time an increase in the computational time. Among them, the elliptic models based on the actuator disk technique have reached an extended use during the last years. These models present three important problems in case of being used by default for the solution of large wind farms: the estimation of the reference wind speed upstream of each rotor disk, turbulence modeling and computational time. In order to minimize the consequence of these problems, this PhD Thesis proposes solutions implemented under the open source CFD solver OpenFOAM and adapted for each type of site: a correction on the reference wind speed for the general elliptic models, the semi-parabollic model for large offshore wind farms and the hybrid model for wind farms in complex terrain. All the models are validated in terms of power ratios by means of experimental data derived from real operating wind farms.