Eventos Anais de eventos
ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
Forecast analysis and integrated optimization of wind farm yaw control using numerical simulations
Submission Author:
Jéssica Sales Pereira dos Santos , SP , Brazil
Co-Authors:
Jéssica Sales Pereira dos Santos, Bruno Carmo
Presenter: Bruno Carmo
doi://10.26678/ABCM.ENCIT2022.CIT22-0195
Abstract
Faced with the considerable increase in the size and number of wind turbine rotors over time due to technological advances aimed at greater efficiency in extracting kinetic energy from the winds and reducing the use of fossil fuels, there is an intrinsic problem of wake effect in wind farms, due to the increase in the area behind the rotors that reduce the wind speed and, consequently, the energy production capacity of turbines that are downstream of others. As well as other factors, the spatial limitation of wind farms implementation requires strategies that can minimize this effect and increase the plant's overall energy generation. One of them is the integration of the yaw movements of the rotors, which in principle follows the wind direction, but can also be used to deflect the wake from downstream turbines, as a way of optimizing the wind farm power production. Thus, the objective of this work is to analyze the ability to predict and optimize energy generated in wind farms through the low-fidelity software FLORIS (FLOw Redirection and Induction in Steady-state) using the integrated yaw motion of 5MW NREL turbines. The results obtained in the simulations will be compared with the literature and those from the medium fidelity simulations of the OpenFAST submodule, called Fast.Farm, also analyzing the adherence of the wake models present in FLORIS with the high fidelity large eddy simulations performed with computational fluid dynamics tools. In addition, data from real farms will be used, observing the deviations of instantaneous simulations at specific moments, as well as the forecast of annual energy generation for a given period. It is expected with this research to assess the energy forecasting capacity of wind farms in FLORIS and its methodology for optimizing the integrated yaw control, analyzing its overall energy maximization efficiency in wind farm where the wake effect is present, analyzing the fluid dynamic behavior predicted by the available wake models.
Keywords
Wind farms, wake effect, energy forecast, yaw optimization, Numerical simulation
