Dr. Mark A. Rumsey Profile

Dr. Mark A. Rumsey

Technical Staff at Sandia National Labs

SPIE Involvement:

Author

Proceedings Article | 29 April 2011 Paper

An evaluation of sensing technologies in a wind turbine blade: some issues, challenges and lessons learned

Mark Rumsey

Proceedings Volume 7979, 79790G (2011) https://doi.org/10.1117/12.882024

KEYWORDS: Sensors, Sensing systems, Wind energy, Composites, Skin, Manufacturing, Fiber optics, Calibration, Aerodynamics, Wind turbine technology

Read Abstract +

Proceedings Article | 12 April 2010 Paper

Theoretical analysis of acceleration measurements in a model of an operating wind turbine

Jonathan White, Douglas Adams, Mark Rumsey

Proceedings Volume 7643, 76431F (2010) https://doi.org/10.1117/12.847779

KEYWORDS: Aerodynamics, Actuators, Turbulence, Sensors, Motion models, Reliability, Wind energy, 3D modeling, Structural dynamics, Wind turbine technology

Read Abstract +

Wind loading from turbulence and gusts can cause damage in horizontal axis wind turbines. These unsteady loads and the resulting damage initiation and propagation are difficult to predict. Unsteady loads enter at the rotor and are transmitted to the drivetrain. The current generation of wind turbine has drivetrain-mounted vibration and bearing temperature sensors, a nacelle-mounted inertial measurement unit, and a nacelle-mounted anemometer and wind vane. Some advanced wind turbines are also equipped with strain measurements at the root of the rotor. This paper analyzes additional measurements in a rotor blade to investigate the complexity of these unsteady loads. By identifying the spatial distribution, amplitude, and frequency bandwidth of these loads, design improvements could be facilitated to reduce uncertainties in reliability predictions. In addition, dynamic load estimates could be used in the future to control high-bandwidth aerodynamic actuators distributed along the rotor blade to reduce the saturation of slower pitch actuators currently used for wind turbine blades. Local acceleration measurements are made along a rotor blade to infer operational rotor states including deflection and dynamic modal contributions. Previous work has demonstrated that acceleration measurements can be experimentally acquired on an operating wind turbine. Simulations on simplified rotor blades have also been used to demonstrate that mean blade loading can be estimated based on deflection estimates. To successfully apply accelerometers in wind turbine applications for load identification, the spectral and spatial characteristics of each excitation source must be understood so that the total acceleration measurement can be decomposed into contributions from each source. To demonstrate the decomposition of acceleration measurements in conjunction with load estimation methods, a flexible body model has been created with MSC.ADAMS© The benefit of using a simulation model as opposed to a physical experiment to examine the merits of acceleration-based load identification methods is that models of the structural dynamics and aerodynamics enable one to compare estimates of the deflection and loading with actual values. Realistic wind conditions are applied to the wind turbine and used to estimate the operational displacement and acceleration of the rotor. The per-revolution harmonics dominate the displacement and acceleration response. Turbulent wind produces broadband excitation that includes both the harmonics and modal vibrations, such as the tower modes. Power Spectral Density estimates of the acceleration along the span of the rotor blades indicate that the edge modes may be coupled to the second harmonic.

Proceedings Article | 8 April 2009 Paper

Operational load estimation of a smart wind turbine rotor blade

Jonathan White, Douglas Adams, Mark Rumsey

Proceedings Volume 7295, 72952D (2009) https://doi.org/10.1117/12.815802

KEYWORDS: Sensors, Wind energy, Error analysis, Chromium, Medium wave, Solar energy, Actuators, Damage detection, Fiber optics sensors, Wind turbine technology

Read Abstract +

Proceedings Article | 7 April 2008 Paper

Structural health monitoring of wind turbine blades

Mark Rumsey, Joshua Paquette

Proceedings Volume 6933, 69330E (2008) https://doi.org/10.1117/12.778324

KEYWORDS: Structural health monitoring, Sensors, Microsoft Foundation Class Library, Nondestructive evaluation, Failure analysis, Wind energy, Acoustic emission, Skin, Acoustics, Wind turbine technology

Read Abstract +

Proceedings Article | 10 April 2007 Paper

Low-cost fiber Bragg grating interrogation system for in situ assessment of structures

Jose Zayas, Dennis Roach, Mark Rumsey, William Allan, David Horsley

Proceedings Volume 6529, 65293C (2007) https://doi.org/10.1117/12.715273

KEYWORDS: Fiber Bragg gratings, Sensors, Fiber optics sensors, Composites, Fiber optics, Calibration, Optical fiber cables, Prototyping, Wind energy, Wind turbine technology

Read Abstract +

Conference Committee Involvement (1)

Second International Conference on Smart Materials and Nanotechnology in Engineering

8 July 2009 | Weihai, China

Keywords/Phrases

Search In:

Publication Years