scholarly journals Wind turbine design codes - A comparison of the structural response

2000 ◽  
Author(s):  
Marshall Buhl, Jr. ◽  
Alan Wright ◽  
Kirk Pierce
Keyword(s):  
Wind Turbine ◽  
Structural Response ◽  
Design Codes ◽  
Turbine Design

Verification of aero-elastic offshore wind turbine design codes under IEA Wind Task XXIII

Wind Energy ◽  
2013 ◽  
Vol 17 (4) ◽  
pp. 519-547 ◽  
Author(s):  
Fabian Vorpahl ◽  
Michael Strobel ◽  
Jason M. Jonkman ◽  
Torben J. Larsen ◽  
Patrik Passon ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Design Codes ◽  
Turbine Design

scholarly journals Optimizing the NW off-shore wind turbine design

2012 ◽  
Vol 55 (3-4) ◽  
pp. 396-404 ◽  
Author(s):  
Tugrul U. Daim ◽  
Elvan Bayraktaroglu ◽  
Judith Estep ◽  
Dong Joon Lim ◽  
Jubin Upadhyay ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Turbine Design

Measurements and analysis of the radar signature of a new wind turbine design at X ‐band

2013 ◽  
Vol 7 (2) ◽  
pp. 170-177 ◽  
Author(s):  
Alessio Balleri ◽  
Allann Al‐Armaghany ◽  
Hugh Griffiths ◽  
Kinfai Tong ◽  
Takashi Matsuura ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Radar Signature ◽  
X Band ◽  
Turbine Design

The NREL Large-Scale Turbine Inflow and Response Experiment: Preliminary Results

2002 ◽  
Author(s):  
Neil Kelley ◽  
Maureen Hand ◽  
Scott Larwood ◽  
Ed McKenna
Keyword(s):  
Wind Turbine ◽  
Large Scale ◽  
Structural Response ◽  
Technology Center ◽  
Operating Environments ◽  
Sonic Anemometers ◽  
Wide Range ◽  
Scaling Parameters ◽  
Planar Array ◽  
Turbulence Scaling

The accurate numerical dynamic simulation of new large-scale wind turbine designs operating over a wide range of inflow environments is critical because it is usually impractical to test prototypes in a variety of locations. Large turbines operate in a region of the atmospheric boundary layer that currently may not be adequately simulated by present turbulence codes. In this paper, we discuss the development and use of a 42-m (137-ft) planar array of five, high-resolution sonic anemometers upwind of a 600-kW wind turbine at the National Wind Technology Center (NWTC). The objective of this experiment is to obtain simultaneously collected turbulence information from the inflow array and the corresponding structural response of the turbine. The turbulence information will be used for comparison with that predicted by currently available codes and establish any systematic differences. These results will be used to improve the performance of the turbulence simulations. The sensitivities of key elements of the turbine aeroelastic and structural response to a range of turbulence-scaling parameters will be established for comparisons with other turbines and operating environments. In this paper, we present an overview of the experiment, and offer examples of two observed cases of inflow characteristics and turbine response collected under daytime and nighttime conditions, and compare their turbulence properties with predictions.

scholarly journals Low‐Noise Airfoil and Wind Turbine Design

10.5772/63335 ◽  
2016 ◽  
Author(s):  
Wei Jun Zhu ◽  
Wen Zhong Shen ◽  
Jens Nørkær Sørensen
Keyword(s):  
Wind Turbine ◽  
Low Noise ◽  
Turbine Design

scholarly journals A Surface Ice Module for Wind Turbine Dynamic Response Simulation Using FAST

2016 ◽  
Vol 138 (5) ◽  
Author(s):  
Bingbin Yu ◽  
Dale G. Karr ◽  
Huimin Song ◽  
Senu Sirnivas
Keyword(s):  
Dynamic Response ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Structural Response ◽  
Simulation Software ◽  
Offshore Wind ◽  
Foundation Soil ◽  
Offshore Wind Turbines ◽  
Ice Failure ◽  
Lock In

Developing offshore wind energy has become more and more serious worldwide in recent years. Many of the promising offshore wind farm locations are in cold regions that may have ice cover during wintertime. The challenge of possible ice loads on offshore wind turbines raises the demand of modeling capacity of dynamic wind turbine response under the joint action of ice, wind, wave, and current. The simulation software FAST is an open source computer-aided engineering (CAE) package maintained by the National Renewable Energy Laboratory. In this paper, a new module of FAST for assessing the dynamic response of offshore wind turbines subjected to ice forcing is presented. In the ice module, several models are presented which involve both prescribed forcing and coupled response. For conditions in which the ice forcing is essentially decoupled from the structural response, ice forces are established from existing models for brittle and ductile ice failure. For conditions in which the ice failure and the structural response are coupled, such as lock-in conditions, a rate-dependent ice model is described, which is developed in conjunction with a new modularization framework for FAST. In this paper, analytical ice mechanics models are presented that incorporate ice floe forcing, deformation, and failure. For lower speeds, forces slowly build until the ice strength is reached and ice fails resulting in a quasi-static condition. For intermediate speeds, the ice failure can be coupled with the structural response and resulting in coinciding periods of the ice failure and the structural response. A third regime occurs at high speeds of encounter in which brittle fracturing of the ice feature occurs in a random pattern, which results in a random vibration excitation of the structure. An example wind turbine response is simulated under ice loading of each of the presented models. This module adds to FAST the capabilities for analyzing the response of wind turbines subjected to forces resulting from ice impact on the turbine support structure. The conditions considered in this module are specifically addressed in the International Organization for Standardization (ISO) standard 19906:2010 for arctic offshore structures design consideration. Special consideration of lock-in vibrations is required due to the detrimental effects of such response with regard to fatigue and foundation/soil response. The use of FAST for transient, time domain simulation with the new ice module is well suited for such analyses.

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