Control of mechanical loads in wind turbines using an integrated aeroelastic model

Author(s):  
Luis I. Minchala ◽  
Diego Cardenas-Fuentes ◽  
Oliver Probst
2020 ◽  
Vol 53 (2) ◽  
pp. 341-347
Author(s):  
Christian Clemens ◽  
Eckhard Gauterin ◽  
Florian Pöschke ◽  
Horst Schulte

Wind Energy ◽  
2017 ◽  
Vol 20 (12) ◽  
pp. 1997-2010 ◽  
Author(s):  
M. Bezziccheri ◽  
P. Castellini ◽  
P. Evangelisti ◽  
C. Santolini ◽  
N. Paone

2021 ◽  
Author(s):  
Diplina Paul ◽  
Abhisek Banerjee

Abstract Savonius-style wind turbines are mainly gauged by two types of coefficients namely: (i) coefficient of power (CP) and (ii) coefficient of torques (CT). Coefficient of power is defined as the ratio of power generated by the turbine to the total power available to the turbine from the free-flowing wind. This is synonymous to the operational efficiency of the wind turbine. Coefficient of torque reflects the torque generating ability of the turbine. In this manuscript, experiments have been performed using three different types of rotor profiles for Savonius-style wind turbines (SSWTs) namely, classical SSWT, Benesh type SSWT and elliptical shaped SSWT using oriented jets. Using deflector plates the orientation of jets have been varied from 20° to 70°. Addition of deflector plates to the wind turbines, assists in maximizing the utilization of wind energy. Experiments have been performed in the laminar air flow. Mechanical loads have been used to study Coefficient of performance (CP) and coefficient of torque (CT) as a function of tip speed ratio (TSRs). The velocity of the wind is adjusted by varying the rheostat that controls the AC motor for the wind tunnel systems. Experimental results indicated that optimum performance could be achieved from all three types of SSWT variants at TSR ∼ 0.70. Out of the three designs studied in this manuscript, elliptic shaped SWT yielded best coefficient of performance equal to 0.39 at TSR = 0.70.


2016 ◽  
Author(s):  
Karl O. Merz

Abstract. When a wind turbine operates above the rated windspeed, the blade pitch may be governed by a basic single-input single-output PI controller, with the shaft speed as input. The performance of the wind turbine depends upon the tuning of the gains and filters of this controller. Rules-of-thumb, based upon pole placement, with a rigid model of the rotor, are inadequate for tuning the controller of large, flexible, offshore wind turbines. It is shown that the appropriate controller tuning is highly dependent upon the characteristics of the aeroelastic model: no single reference controller can be defined for use with all models. As an example, the ubiquitous NREL 5 MW wind turbine controller is unstable, when paired with a fully-flexible aeroelastic model. A methodical search is conducted, in order to find models with a minimum number of degrees-of-freedom, which can be used to tune the controller for a fully-flexible aeroelastic model; this can be accomplished with a model containing 16-20 states. Transient aerodynamic effects, representing rotor-average properties, account for 5 of these states. A simple method is proposed to reduce the full transient aerodynamic model, and the associated turbulent wind spectra, to the rotor-average. Ocean waves are also an important source of loading; it is recommended that the shaft speed signal be filtered such that wave-driven tower side-to-side vibrations do not appear in the PI controller output. An updated tuning for the NREL 5 MW controller is developed using a Pareto front technique. This fixes the instability and gives good performance with fully-flexible aeroelastic models.


2016 ◽  
Vol 1 (2) ◽  
pp. 153-175 ◽  
Author(s):  
Karl O. Merz

Abstract. When a wind turbine operates above the rated wind speed, the blade pitch may be governed by a basic single-input–single-output PI controller, with the shaft speed as input. The performance of the wind turbine depends upon the tuning of the gains and filters of this controller. Rules of thumb, based upon pole placement, with a rigid model of the rotor, are inadequate for tuning the controller of large, flexible, offshore wind turbines. It is shown that the appropriate controller tuning is highly dependent upon the characteristics of the aeroelastic model: no single reference controller can be defined for use with all models. As an example, the ubiquitous National Renewable Energy Laboratory (NREL) 5 MW wind turbine controller is unstable when paired with a fully flexible aeroelastic model. A methodical search is conducted, in order to find models with a minimum number of degrees of freedom, which can be used to tune the controller for a fully flexible aeroelastic model; this can be accomplished with a model containing 16–20 states. Transient aerodynamic effects, representing rotor-average properties, account for five of these states. A simple method is proposed to reduce the full transient aerodynamic model, and the associated turbulent wind spectra, to the rotor average. Ocean waves are also an important source of loading; it is recommended that the shaft speed signal be filtered such that wave-driven tower side-to-side vibrations do not appear in the PI controller output. An updated tuning for the NREL 5 MW controller is developed using a Pareto front technique. This fixes the instability and gives good performance with fully flexible aeroelastic models.


Author(s):  
B. H. Buck ◽  
A. Berg-Pollack ◽  
J. Assheuer ◽  
O. Zielinski ◽  
D. Kassen

The presented study focuses on the development of offshore wind farms in conjunction with open ocean aquaculture within the German Bight. For aquaculture enterprises in the open ocean an extensive cultivation of various species, blue mussels (Mytilus edulis), oysters (Ostrea edulis, Crassostrea gigas) and seaweed (Laminaria saccharina), is considered. However, without the solid foundations for wind turbines, such as monopiles and tripods as anchor or connection points, economic installations of equipment for mariculture would not be possible in view of the high-energy environment in this part of the North Sea. Thus, one of the most important questions pertains whether it is technically possible and economic feasible to use the offshore foundation structures as fixation device for aquaculture operations, such as a longline as one possible culture design. A longline culture is an open-water suspended technology in which cultured species are on-grown on ropes or diverse substrates, such as rope collectors for the catch of mussel spat, suspended from anchored and buoyed surface or subsurface horizontal ropes (longline). For the calculation of additional foundation costs generated through the attached longline system knowledge on the supplement loads and stresses as well as on the required constructive modifications of the foundation must be obtained. The development and the conceptual design of offshore foundation structures are complex and require an interdisciplinary approach. In the presented project we aim to evaluate the induced loads between a foundation structure for offshore wind energy turbines and a longline system and to develop appropriate connection points. As monopile and tripod foundations are the most common foundation structures to date, these both will be considered within the modeling approach which calculates the respective loads from wind and waves. Both foundation structures are in the dimension of 4–5 MW wind turbines, while the monopile design will be calculated for a water depth of 10 m whereas the tripod for a water depth of 30 m. To validate the model outcomes, an entire monopile-longline-monopile construction is set up in the offshore waters 10 nautical miles off the Island of Sylt at a water depth of about 17 m. At this site, the deformation behavior of the entire system will be determined on the basis of analytically calculated loads supported by the measurement of local stresses at the junction of the longline with the foundation. An additional measurement of forces will be performed on selected mussel collectors. To evaluate the observed loads with respect to environmental conditions, namely currents and waves, accompanying sensors will be installed on site. These achieved datasets will be used for the verification of the computer model for mechanical loads at the longline. Finally it is intended to scale up the model to the proportions of a wind farm while considering the interactions in the wavefield in which the longline system will be located.


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