Reference number : GC-2017-Q1-01471, amendment number : , agreement type : G, recipient legal name : Nagamune, Ryozo (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Discovery Grants Program - Individual, program name french : Programme de subventions à la découverte - individuelles, program purpose english : Wind is the fastest growing renewable and sustainable energy in electricity generation around the world. One trend to improve the efficiency of wind turbines and wind farms is to move them into the deepwater sea where the wind is stronger and more consistent than the onshore wind and where we need to set the turbines afloat. Due to the unfixed foundation, floating wind turbines can take advantage of their relocation capability to alleviate the wake effect between turbines, to increase the total power of multiple turbines, and to reduce the fatigue load of the turbines in the wind farm. However, one of the challenges in the operation of floating offshore wind turbines is the wave disturbance which acts on the platforms in an unpredictable manner. To enhance wind power generation, the undesirable vibration motions of the platform and the turbine excited by the wave need to be suppressed, and consequently wind energy cost need to be minimized, by control engineering technologies. 
 
The main goal of this program is to establish control techniques for a utility-scale floating offshore wind turbine on a semi-submersible platform, in order to maximize the wind power capture and minimize the structural loading, thereby reducing the wind energy cost. The approach to this goal is original and novel in four ways. Firstly, for controller design, we adopt control-oriented models that can involve explicitly dynamical wave effect to the platform&rsquo;s 3-D motion. Secondly, we exploit our recently-developed linear parameter-varying control techniques to design feedforward and feedback control systems. Thirdly, to further suppress the wave-induced platform vibration, we employ real-time wave pressure measurement for feedforward and predictive control. Lastly, as a low-level control under the high-level real-time wind farm layout optimization, we account for position control of the platform by making use of only the aerodynamic force, without adding any extra actuator. 
 
To achieve the main goal described above, technical tasks in this program include 1) extension of the control-oriented modelling technique with structural flexibilities and the aerodynamic force distributed to three blades, 2) model-based design of linear parameter-varying controllers of a semi-submersible wind turbine, 3) design of platform position controllers within the movable range of the semi-submersible platform, and 4) software development for control-oriented modelling and controller design devised in this program. Simulation studies will be conducted to validate the developed models and controllers. 
 
The research outcome will have a great impact on the environment, society and economy in Canada and worldwide. It will increase employment in the wind energy sector, investments and profits to the community, in both the short and long term. It will provide a clean environment without visual and noise impact on the surrounding environment., program purpose french : Wind is the fastest growing renewable and sustainable energy in electricity generation around the world. One trend to improve the efficiency of wind turbines and wind farms is to move them into the deepwater sea where the wind is stronger and more consistent than the onshore wind and where we need to set the turbines afloat. Due to the unfixed foundation, floating wind turbines can take advantage of their relocation capability to alleviate the wake effect between turbines, to increase the total power of multiple turbines, and to reduce the fatigue load of the turbines in the wind farm. However, one of the challenges in the operation of floating offshore wind turbines is the wave disturbance which acts on the platforms in an unpredictable manner. To enhance wind power generation, the undesirable vibration motions of the platform and the turbine excited by the wave need to be suppressed, and consequently wind energy cost need to be minimized, by control engineering technologies. 
 
The main goal of this program is to establish control techniques for a utility-scale floating offshore wind turbine on a semi-submersible platform, in order to maximize the wind power capture and minimize the structural loading, thereby reducing the wind energy cost. The approach to this goal is original and novel in four ways. Firstly, for controller design, we adopt control-oriented models that can involve explicitly dynamical wave effect to the platform&rsquo;s 3-D motion. Secondly, we exploit our recently-developed linear parameter-varying control techniques to design feedforward and feedback control systems. Thirdly, to further suppress the wave-induced platform vibration, we employ real-time wave pressure measurement for feedforward and predictive control. Lastly, as a low-level control under the high-level real-time wind farm layout optimization, we account for position control of the platform by making use of only the aerodynamic force, without adding any extra actuator. 
 
To achieve the main goal described above, technical tasks in this program include 1) extension of the control-oriented modelling technique with structural flexibilities and the aerodynamic force distributed to three blades, 2) model-based design of linear parameter-varying controllers of a semi-submersible wind turbine, 3) design of platform position controllers within the movable range of the semi-submersible platform, and 4) software development for control-oriented modelling and controller design devised in this program. Simulation studies will be conducted to validate the developed models and controllers. 
 
The research outcome will have a great impact on the environment, society and economy in Canada and worldwide. It will increase employment in the wind energy sector, investments and profits to the community, in both the short and long term. It will provide a clean environment without visual and noise impact on the surrounding environment., agreement title english : Advanced Control of Offshore Semi-submersible Wind Turbines, agreement title french : Advanced Control of Offshore Semi-submersible Wind Turbines, agreement number : RGPIN, agreement value : 185000.0, 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