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A tidal current turbine is a device functioning in a manner similar to wind turbine for harnessing energy from tidal currents, a group of which is called a farm. The existing approaches used to predict power from tidal current turbine farms oversimplify the hydrodynamic interactions between turbines, which significantly affects the results. The major focus of this dissertation is to study the relationship between turbine distribution (the relative position of the turbines) and the hydrodynamic interactions between turbines, and its impact on the power from a farm. A new formulation of the discrete vortex method (DVM-UBC) is proposed to describe the behavior of turbines and unsteady flow mathematically, and a numerical model is developed to predict the performance, the unsteady wake and acoustic emission of a stand-alone turbine using DVM-UBC. Good agreement is obtained between the results obtained with DVM-UBC and published numerical and experimental results. Then, another numerical model is developed to predict the performance, wake and acoustic emission of a two-turbine system using DVM-UBC. The results show that the power of a two-turbine system with optimal relative position is about 25% more than two times that of a stand-alone turbine under the same conditions. The torque such a system may fluctuate 50% less than that of a stand-alone turbine. The acoustic emission of such a system may be 35% less than that of a stand-alone turbine. As an extension, a numerical procedure is developed to estimate the efficiency of an N-turbine system by using a linear theory together with the two-turbine system model. By integrating above hydrodynamic models for predicting power and a newly-developed Operation and Maintenance (O&M) model for predicting the cost, a system model is framed to estimate the energy cost using a scenario-based cost-effectiveness analysis. This model can estimate the energy cost more accurately than the previous models because it breaks down turbine’s components and O&M strategies in much greater detail when studying the hydrodynamics and reliability of the turbine. This dissertation provides a design tool for farm planners, and shed light on other disciplines such as environmental sciences and oceanography.

No description available.

A tidal current turbine is a device functioning in a manner similar to wind turbine for harnessing energy from tidal currents, a group of which is called a farm. The existing approaches used to predict power from tidal current turbine farms oversimplify the hydrodynamic interactions between turbines, which significantly affects the results. The major focus of this dissertation is to study the relationship between turbine distribution (the relative position of the turbines) and the hydrodynamic interactions between turbines, and its impact on the power from a farm. A new formulation of the discrete vortex method (DVM-UBC) is proposed to describe the behavior of turbines and unsteady flow mathematically, and a numerical model is developed to predict the performance, the unsteady wake and acoustic emission of a stand-alone turbine using DVM-UBC. Good agreement is obtained between the results obtained with DVM-UBC and published numerical and experimental results. Then, another numerical model is developed to predict the performance, wake and acoustic emission of a two-turbine system using DVM-UBC. The results show that the power of a two-turbine system with optimal relative position is about 25% more than two times that of a stand-alone turbine under the same conditions. The torque such a system may fluctuate 50% less than that of a stand-alone turbine. The acoustic emission of such a system may be 35% less than that of a stand-alone turbine. As an extension, a numerical procedure is developed to estimate the efficiency of an N-turbine system by using a linear theory together with the two-turbine system model. By integrating above hydrodynamic models for predicting power and a newly-developed Operation and Maintenance (O&M) model for predicting the cost, a system model is framed to estimate the energy cost using a scenario-based cost-effectiveness analysis. This model can estimate the energy cost more accurately than the previous models because it breaks down turbine’s components and O&M strategies in much greater detail when studying the hydrodynamics and reliability of the turbine. This dissertation provides a design tool for farm planners, and shed light on other disciplines such as environmental sciences and oceanography.

A tidal current turbine is a device functioning in a manner similar to wind turbine for harnessing energy from tidal currents, a group of which is called a farm. The existing approaches used to predict power from tidal current turbine farms oversimplify the hydrodynamic interactions between turbines, which significantly affects the results. The major focus of this dissertation is to study the relationship between turbine distribution (the relative position of the turbines) and the hydrodynamic interactions between turbines, and its impact on the power from a farm. A new formulation of the discrete vortex method (DVM-UBC) is proposed to describe the behavior of turbines and unsteady flow mathematically, and a numerical model is developed to predict the performance, the unsteady wake and acoustic emission of a stand-alone turbine using DVM-UBC. Good agreement is obtained between the results obtained with DVM-UBC and published numerical and experimental results. Then, another numerical model is developed to predict the performance, wake and acoustic emission of a two-turbine system using DVM-UBC. The results show that the power of a two-turbine system with optimal relative position is about 25% more than two times that of a stand-alone turbine under the same conditions. The torque such a system may fluctuate 50% less than that of a stand-alone turbine. The acoustic emission of such a system may be 35% less than that of a stand-alone turbine. As an extension, a numerical procedure is developed to estimate the efficiency of an N-turbine system by using a linear theory together with the two-turbine system model. By integrating above hydrodynamic models for predicting power and a newly-developed Operation and Maintenance (O&M) model for predicting the cost, a system model is framed to estimate the energy cost using a scenario-based cost-effectiveness analysis. This model can estimate the energy cost more accurately than the previous models because it breaks down turbine’s components and O&M strategies in much greater detail when studying the hydrodynamics and reliability of the turbine. This dissertation provides a design tool for farm planners, and shed light on other disciplines such as environmental sciences and oceanography. / Applied Science, Faculty of / Mechanical Engineering, Department of / Graduate

Floating offshore wind turbines in deep waters offer significant advantages to onshore and near-shore wind turbines. However, due to the motion of floating platforms in response to wind and wave loading, the aerodynamics are substantially more complex. Traditional aerodynamic models and design codes do not adequately account for the floating platform dynamics to assess its effect on turbine loads and performance. Turbines must therefore be over designed due to loading uncertainty and are not fully optimized for their operating conditions. Previous research at the University of Massachusetts, Amherst developed the Wake Induced Dynamics Simulator, or WInDS, a free vortex wake model of wind turbines that explicitly includes the velocity components from platform motion. WInDS rigorously accounts for the unsteady interactions between the wind turbine rotor and its wake, however, as a potential flow model, the unsteady viscous response in the blade boundary layer is neglected. To address this concern, this thesis presents the development of a Leishman-Beddoes dynamic stall model integrated into WInDS. The stand-alone dynamic stall model was validated against two-dimensional unsteady data from the OSU pitch oscillation experiments and the coupled WInDS model was validated against three-dimensional data from NREL’s UAE Phase VI campaign. WInDS with dynamic stall shows substantial improvements in load predictions for both steady and unsteady conditions over the base version of WInDS. Furthermore, use of WInDS with the dynamic stall model should provide the necessary aerodynamic model fidelity for future research and design work on floating offshore wind turbines.

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Dans cette thèse nous mettons en oeuvre une méthode vortex hybride pénalisée (HVP) afin desimuler des écoulements incompressibles autour de corps non profilés dans des milieux complexessolides-fluides-poreux. Avec cette approche particulaire hybride, le phénomène de convection estmodélisé à l’aide d’une méthode vortex afin de bénéficier du caractère peu diffusif et naturel desméthodes particulaires. Un remaillage des particules est alors réalisé systématiquement sur unegrille cartésienne sous-jacente afin d’éviter les phénomènes de distorsion. D’autre part, les effetsdiffusifs et d’étirement ainsi que le calcul de la vitesse sont traités sur la grille cartésienne, àl’aide de schémas eulériens. Le traitement des conditions de bords aux parois de l’obstacle esteffectué à l’aide d’une technique de pénalisation, particulièrement bien adaptée au traitementde milieux solides-fluides-poreux.Cette méthode HVP est appliquée au contrôle passif d’écoulement. Cette étude de contrôleest effectuée respectivement en 2D et en 3D autour d’un demi-cylindre et d’un hémisphère parl’ajout d’un revêtement poreux à la surface de l’obstacle. La présence de cette couche poreusemodifiant la nature des conditions aux interfaces, permet de régulariser l’écoulement global etde diminuer la traînée aérodynamique de l’obstacle contrôlé. A travers des études paramétriquessur la perméabilité, l’épaisseur et la position du revêtement poreux, ce travail vise à identifier desdispositifs de contrôles efficaces pour des écoulements autour d’obstacles comme des rétroviseursautomobiles. / In this work we use a hybrid vortex penalization method (HVP) to simulate incompressibleflows past bluff bodies in complex solid-fluid-porous media. In this hybrid particle approach,the advection phenomenon is modeled through a vortex method in order to benefit from thenatural description of the flow supplied by particle methods and their low numerical diffusionfeatures. A particle remeshing is performed systematically on an underlying Cartesian grid inorder to prevent distortion phenomena. On the other hand, the viscous and stretching effects aswell as the velocity calculation are discretized on the mesh through Eulerian schemes. Finally,the treatment of boundary conditions is handled with a penalization method that is well suitedfor the treatment of solid-fluid-porous media.The HVP method is applied to passive flow control. This flow control study is realized pasta 2D semi-circular cylinder and a 3D hemisphere by adding a porous layer on the surface of thebody. The presence of such porous layer modifies the characteristics of the conditions at theinterfaces and leads to a regularization of the wake and to a decrease of the aerodynamic dragof the controlled obstacle. Through parametric studies on the permeability, the thickness andthe position of the porous coating, this works aims to identify efficient control devices for flowsaround obstacles like the rear-view mirrors of a ground vehicle.