Abstract:Currently, vertical axis wind turbines (VAWT) are considered as an alternative technology to horizontal axis wind turbines in specific wind conditions, such as offshore farms. However, complex unsteady wake structures of VAWTs exert a significant influence on performance of wind turbines and wind farms. In the present study, instantaneous flow fields around and downstream of an innovative VAWT with inclined pitch axes are simulated by an actuator line model. Unsteady flow characteristics around the wind turbin… Show more
“…Jadeja (2018) 28 investigated the wake deflection of a pitched VAWT using the actuator line model together with unsteady Reynolds averaged Navier–Stokes (RANS) simulation. Based on the same numerical method, Guo and Lei (2020) 29 presents the deflected wake of a VAWT with inclined pitching axis.…”
Section: Introductionmentioning
confidence: 99%
“…The main reasons are (a) faster wake recovery, allowing for a closer interturbine distance 25 ; (b) less susceptible to flow turbulence, allowing for a more flexible layout to be deployed 26 ; (c) in addition to the conventional aligned or staggered layout, synergistic clusters can increase farm efficiency 27 ; and (d) simpler wake deflection mechanics. As opposed to yawed or tilted HAWTs that require the nacelle or tower to move, VAWTs can redirect the wake via pitched blades 28,29 or struts connecting the blades. 30 The wake of VAWTs, on the other hand, is significantly more complex, and the physics underlying its deflection is still not fully understood.…”
mentioning
confidence: 99%
“…Top view of a simplified three-dimensional actuator cylinder, the AC is divided into four regions follows the convention of a clockwise rotating VAWT, with capital letters denoting corresponding quadrants (e.g., UW: upwind-windward) model together with unsteady Reynolds averaged Navier-Stokes (RANS) simulation. Based on the same numerical method, Guo and Lei (2020) 29 presents the deflected wake of a VAWT with inclined pitching axis.…”
Wake losses are a critical consideration in wind farm design. The ability to steer and deform wakes can result in increased wind farm power density and reduced energy costs and can be used to optimize wind farm designs. This study investigates the wake deflection of a vertical axis wind turbine (VAWT) experimentally, emphasizing the effect of different load distributions on the wake convection and mixing. A trailing vortex system responsible for the wake topology is hypothesized based on a simplified vorticity equation that describes the relationship between load distribution and its vortex generation; the proposed vorticity system and the resulting wake topology are experimentally validated in the wind tunnel via stereoscopic particle image velocimetry measurements of the flow field at several wake cross‐sections. Variations in load distribution are accomplished by a set of fixed blade pitches. The experimental results not only validate the predicted vorticity system but also highlight the critical role of the streamwise vorticity component in the deflection and deformation of the wake, thus affecting the momentum and energy recoveries. The evaluation of the various loading cases demonstrates the significant effect of the wake deflection on the wind power available to a downwind turbine, even when the distance between the two turbines is only three diameters.
“…Jadeja (2018) 28 investigated the wake deflection of a pitched VAWT using the actuator line model together with unsteady Reynolds averaged Navier–Stokes (RANS) simulation. Based on the same numerical method, Guo and Lei (2020) 29 presents the deflected wake of a VAWT with inclined pitching axis.…”
Section: Introductionmentioning
confidence: 99%
“…The main reasons are (a) faster wake recovery, allowing for a closer interturbine distance 25 ; (b) less susceptible to flow turbulence, allowing for a more flexible layout to be deployed 26 ; (c) in addition to the conventional aligned or staggered layout, synergistic clusters can increase farm efficiency 27 ; and (d) simpler wake deflection mechanics. As opposed to yawed or tilted HAWTs that require the nacelle or tower to move, VAWTs can redirect the wake via pitched blades 28,29 or struts connecting the blades. 30 The wake of VAWTs, on the other hand, is significantly more complex, and the physics underlying its deflection is still not fully understood.…”
mentioning
confidence: 99%
“…Top view of a simplified three-dimensional actuator cylinder, the AC is divided into four regions follows the convention of a clockwise rotating VAWT, with capital letters denoting corresponding quadrants (e.g., UW: upwind-windward) model together with unsteady Reynolds averaged Navier-Stokes (RANS) simulation. Based on the same numerical method, Guo and Lei (2020) 29 presents the deflected wake of a VAWT with inclined pitching axis.…”
Wake losses are a critical consideration in wind farm design. The ability to steer and deform wakes can result in increased wind farm power density and reduced energy costs and can be used to optimize wind farm designs. This study investigates the wake deflection of a vertical axis wind turbine (VAWT) experimentally, emphasizing the effect of different load distributions on the wake convection and mixing. A trailing vortex system responsible for the wake topology is hypothesized based on a simplified vorticity equation that describes the relationship between load distribution and its vortex generation; the proposed vorticity system and the resulting wake topology are experimentally validated in the wind tunnel via stereoscopic particle image velocimetry measurements of the flow field at several wake cross‐sections. Variations in load distribution are accomplished by a set of fixed blade pitches. The experimental results not only validate the predicted vorticity system but also highlight the critical role of the streamwise vorticity component in the deflection and deformation of the wake, thus affecting the momentum and energy recoveries. The evaluation of the various loading cases demonstrates the significant effect of the wake deflection on the wind power available to a downwind turbine, even when the distance between the two turbines is only three diameters.
“…In the grid-connected system, the aim is to maximize the conversion of mechanical input energy from the wind turbine into electric energy, ensuring the minimization of the cost of energy at the same time [4,5]. To meet this goal, the more widespread wind power generation system, for both small and large power, consists of a wind turbine [6,7], usually equipped with pitch control limits, a gearbox, and a DFIG directly connected to the AC grid on the stator side and driven through a power electronic converter on the rotor side. The rating of the power electronic is almost 25% of the rated power, allowing a speed range from nearly 50% to 120% of the rated speed [8].…”
This paper focuses on the performance analysis of a sensorless control for a Doubly Fed Induction Generator (DFIG) in grid-connected operation for turbine-based wind generation systems. With reference to a conventional stator flux based Field Oriented Control (FOC), a full-order adaptive observer is implemented and a criterion to calculate the observer gain matrix is provided. The observer provides the estimated stator flux and an estimation of the rotor position is also obtained through the measurements of stator and rotor phase currents. Due to parameter inaccuracy, the rotor position estimation is affected by an error. As a novelty of the discussed approach, the rotor position estimation error is considered as an additional machine parameter, and an error tracking procedure is envisioned in order to track the DFIG rotor position with better accuracy. In particular, an adaptive law based on the Lyapunov theory is implemented for the tracking of the rotor position estimation error, and a current injection strategy is developed in order to ensure the necessary tracking sensitivity around zero rotor voltages. The roughly evaluated rotor position can be corrected by means of the tracked rotor position estimation error, so that the corrected rotor position is sent to the FOC for the necessary rotating coordinate transformation. An extensive experimental analysis is carried out on an 11 kW, 4 poles, 400 V/50 Hz induction machine testifying the quality of the sensorless control.
“…Due to the high utilization rate of wind energy and mature technology of large-scale horizontal axis offshore wind turbines, large-scale wind power generation is now mostly horizontal axis, which occupies a large share in both offshore wind power and onshore wind power [7,8]. While the larger size of the offshore wind turbine helps reduce the cost of generating electricity, it also significantly increases the cost of operation and maintenance, especially for offshore wind turbines that require installation and maintenance on specific vessels [9,10]. With the increase of the size of offshore wind turbines, the cost of power generation is reduced, which also brings difficulties to the construction and maintenance of large-scale offshore wind turbines [11].…”
In this study, the performance of offshore wind turbines at low tip speed ratio (TSR) is studied using computational fluid dynamics (CFD), and the performance of offshore wind turbines at low tip speed ratio (TSR) is improved by revising the blade structure. First, the parameters of vertical axis offshore wind turbine are designed based on the compactness iteration, a CFD simulation model is established, and the turbulence model is selected through simulation analysis to verify the independence of grid and time step. Compared with previous experimental results, it is shown that the two-dimensional simulation only considers the plane turbulence effect, and the simulation turbulence effect performs more obviously at a high tip ratio, while the three-dimensional simulation turbulence effect has well-fitting performance at high tip ratio. Second, a J-shaped blade with optimized lower surface is proposed. The study showed that the optimized J-shaped blade significantly improved its upwind torque and wind energy capture rate. Finally, the performance of the optimized J-blade offshore wind turbine is analyzed.
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