Reference number : GC-2017-Q1-01490, amendment number : , agreement type : G, recipient legal name : Korobenko, Artem (University of Calgary), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Modern wind turbines operate in the very complex turbulent Atmospheric Boundary Layer (ABL) with a wide range of energy-containing length scales and with different atmospheric stability regimes. When wind turbines interact with the ABL the blades experience significant variations of the loading and torque during the rotation cycle. This directly affects the wind turbine aerodynamic performance, power production and blade structural response. The problem amplifies when wind turbines are arranged in arrays. In this configuration any downwind turbines operate in a wake of upwind turbines, which increase losses of power production and reduce the fatigue life due to wake interaction. 
 
To accurately predict the unsteady aerodynamic and structural behavior of wind turbines operating in a wake will require advanced numerical modeling and simulations. Existing simulation tools, however, mostly focus on non-stratified, uniform flow conditions over flat surfaces interacting with rigid-body wind turbine structures due to highly-turbulent stratified flow with large Reynolds number and complex multi-physics coupling. At the same time the problem is amplified by presence of the components in a relative motion superimposed on elastic deformation of the blades, geometric and material nonlinearity of the multilayer composite structures and large problem size. 
 
Motivated by the above challenges, the proposed research program focuses on the development of a predictive FSI framework for computation of wind turbines at full scale and with full geometrical complexity subjected to realistic atmospheric conditions. The advanced multiphysics simulations will improve our understanding of the turbulence dynamics in the ABL over complex terrain under different atmospheric stability regimes and how it affects the aerodynamic and blade structural response. The first-of-a-kind FSI simulations of multiple wind turbines with full geometric and material complexity will shed more light on wake-turbine interaction and how it affects fatigue life. The proposed novel numerical framework can improve design and optimization process of wind turbines and prevent failure of main turbine components by providing high-fidelity outputs for quantities of interest for which measurements are not readily available. It will serve as a valuable tool for developing sophisticated wind turbine control strategies to maximize power output. The proposed interdisciplinary research program will also create a valuable dataset that can be used by other researchers for numerical tools validation. 
 
Using this program the prospective highly qualified personnel will develop strong expertise in multiphysics simulations of complex engineering problems that is in increasing demand in industry, national laboratories, and academia in Canada and worldwide., program purpose french : Modern wind turbines operate in the very complex turbulent Atmospheric Boundary Layer (ABL) with a wide range of energy-containing length scales and with different atmospheric stability regimes. When wind turbines interact with the ABL the blades experience significant variations of the loading and torque during the rotation cycle. This directly affects the wind turbine aerodynamic performance, power production and blade structural response. The problem amplifies when wind turbines are arranged in arrays. In this configuration any downwind turbines operate in a wake of upwind turbines, which increase losses of power production and reduce the fatigue life due to wake interaction. 
 
To accurately predict the unsteady aerodynamic and structural behavior of wind turbines operating in a wake will require advanced numerical modeling and simulations. Existing simulation tools, however, mostly focus on non-stratified, uniform flow conditions over flat surfaces interacting with rigid-body wind turbine structures due to highly-turbulent stratified flow with large Reynolds number and complex multi-physics coupling. At the same time the problem is amplified by presence of the components in a relative motion superimposed on elastic deformation of the blades, geometric and material nonlinearity of the multilayer composite structures and large problem size. 
 
Motivated by the above challenges, the proposed research program focuses on the development of a predictive FSI framework for computation of wind turbines at full scale and with full geometrical complexity subjected to realistic atmospheric conditions. The advanced multiphysics simulations will improve our understanding of the turbulence dynamics in the ABL over complex terrain under different atmospheric stability regimes and how it affects the aerodynamic and blade structural response. The first-of-a-kind FSI simulations of multiple wind turbines with full geometric and material complexity will shed more light on wake-turbine interaction and how it affects fatigue life. The proposed novel numerical framework can improve design and optimization process of wind turbines and prevent failure of main turbine components by providing high-fidelity outputs for quantities of interest for which measurements are not readily available. It will serve as a valuable tool for developing sophisticated wind turbine control strategies to maximize power output. The proposed interdisciplinary research program will also create a valuable dataset that can be used by other researchers for numerical tools validation. 
 
Using this program the prospective highly qualified personnel will develop strong expertise in multiphysics simulations of complex engineering problems that is in increasing demand in industry, national laboratories, and academia in Canada and worldwide., agreement title english : Advanced Numerical Framework for Wind Turbines in Atmospheric Boundary Layer Flow, agreement title french : Advanced Numerical Framework for Wind Turbines in Atmospheric Boundary Layer Flow, agreement number : RGPIN, agreement value : 115000.0, agreement start date : 2017-05-10, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2022-2023), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2022-2023), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada