Wind Shear and Turbulence Effects on Rotor Fatigue and Loads Control

Eggers, A. J.; Digumarthi, R.; Chaney, K.

doi:10.2514/6.2003-863

Cited by 3 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, due to the higher nocturnal wind shear, the wind speed differences between the lowermost and the uppermost part of the wind turbine rotor, which have a significant effect on rotor fatigue [51], are on the average 10% higher at night (V ΔR,n = 1.55 m/s) than during the day when the atmospheric boundary layer is more unstable (V ΔR,d = 1.41 m/s). …”

Section: Diurnal Variations Of Wind Field Characteristicsmentioning

confidence: 99%

A computational framework for life-cycle management of wind turbines incorporating structural health monitoring

Smarsly

Hartmann

Law

2013

Structural Health Monitoring

View full text Add to dashboard Cite

The integration of structural health monitoring into life-cycle management strategies can help facilitating a reliable operation of wind turbines and reducing the life-cycle costs significantly. This paper presents a life-cycle management (LCM) framework for online monitoring and performance assessment of wind turbines, enabling optimum maintenance and inspection planning at minimum associated life-cycle costs. Incorporating continuously updated monitoring data (i.e. structural, environmental and operational data), the framework allows capturing and understanding the actual wind turbine condition and, hence, reduces uncertainty in structural responses as well as load effects acting on the structure. As will be shown in this paper, the framework integrates a variety of heterogeneous hardware and software components, including sensors and data acquisition units, server systems, Internetenabled user interfaces as well as finite element models for system identification and a multiagent system for self-detecting sensor malfunctions. To validate its capabilities and to Smarsly et al. 2 demonstrate its practicability, the framework is deployed for continuous monitoring and lifecycle management of a 500 kW wind turbine. Remote life-cycle analyses of the monitored wind turbine are conducted and case studies are presented investigating both the structural performance and the operational efficiency of the wind turbine.

show abstract

Section: Diurnal Variations Of Wind Field Characteristicsmentioning

confidence: 99%

A computational framework for life-cycle management of wind turbines incorporating structural health monitoring

Smarsly

Hartmann

Law

2013

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…In recent years, the varying turbine loading due to atmospheric turbulence has been widely regarded as an important factor that needs to be fully considered to achieve the 20-year design life criterion of wind turbines, especially utility-scale wind turbines [6]. Currently, most studies of the effect of turbulence on wind turbines focus on power fluctuations [2,4,[7][8][9], while the ones on flow-blade interaction focus on blade health monitoring based on long-term fatigue loading [10][11][12][13]. However, it is also critical to investigate the effect of turbulence on blade structural response in the short term to provide insights into developing advanced control strategies for load/deformation mitigation for safer and more efficient wind turbine operation [12,14].…”

Section: Introductionmentioning

confidence: 99%

“…As wind turbines continue to grow in size with longer blades for more efficient power generation, the interactions between turbulent inflow and wind turbines become more intense and, consequently, have stronger effects on wind turbine performance [2]. The turbulent inflow can result in dramatic fluctuations in wind turbine power output and thereby may cause unexpected frequency deviations to the power utilities [3,4]. More importantly, wind turbine structures, particularly the rotating blades, are susceptible to increased loads due to higher levels of turbulence [5].…”

Section: Introductionmentioning

confidence: 99%

Effects of inflow turbulence on structural response of wind turbine blades

Gao

Yang

Abraham

et al. 2020

Journal of Wind Engineering and Industrial Aerodynamics

View full text Add to dashboard Cite

“…Meanwhile, in stable conditions, enough mixing occurs to produce small wind-speed increases at 125 m, reducing the impact on rotor-layer shear (7.5 %) compared to very stable periods. These reductions in shear (as with TKE) may improve turbine reliability, since high shear places a strain on the rotor through blade fluctuations out of the rotor plane (e.g., Eggers Jr et al 2003).…”

Section: Impacts Across the Wind Farm In Various Stability Regimesmentioning

confidence: 99%

“…Given that the finest domain uses a 1.25-km resolution, turbulence is not resolved by the model grid but rather estimated by the MYNN PBL scheme. Despite this potential source of error, any changes to TKE production are important, as turbulence can affect turbine power output and increase stresses on the turbine structure (e.g., Eggers et al 2003;Kelley 2011).…”

Section: Effects Of Crop Selection On the Local Wind Profilementioning

confidence: 99%

Could Crop Height Affect the Wind Resource at Agriculturally Productive Wind Farm Sites?

Vanderwende

Lundquist

2015

Boundary-Layer Meteorol

View full text Add to dashboard Cite

The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length in a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. These considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.

show abstract

Wind Shear and Turbulence Effects on Rotor Fatigue and Loads Control

Cited by 3 publications

References 1 publication

A computational framework for life-cycle management of wind turbines incorporating structural health monitoring

A computational framework for life-cycle management of wind turbines incorporating structural health monitoring

Effects of inflow turbulence on structural response of wind turbine blades

Could Crop Height Affect the Wind Resource at Agriculturally Productive Wind Farm Sites?

Contact Info

Product

Resources

About