Application of an Eddy Current-Tuned Mass Damper to Vibration Mitigation of Offshore Wind Turbines

Lian, Jijian; Zhao, Yue; Lian, Chong; Wang, Haijun; Dong, Xiaofeng; Jiang, Qi; Zhou, Huan; Jiang, Junni

doi:10.3390/en11123319

Cited by 27 publications

(10 citation statements)

References 33 publications

(64 reference statements)

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“…From the application of the outlined procedure to a case study, a reduction of over 20% of the response peaks for high wind velocities in the FA direction was noticed, which is consistent with the response reduction provided by other semi-active PTMD vibration control systems found in literature, 51 but in the device proposed here, there is the advantage of not requiring electric power in operation.…”

Section: Discussionsupporting

confidence: 86%

Optimal design of passive‐adaptive pendulum tuned mass damper for the global vibration control of offshore wind turbines

et al. 2020

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This paper presents an optimal design procedure for a pendulum tuned mass damper (PTMD) to mitigate the global structural vibrations of offshore wind turbines (OWTs) in the fore–aft and side–side directions. The procedure is tested to the design of a PTMD to be applied to the 5‐MW benchmark baseline monopile wind turbine proposed by the National Renewable Energy Lab (NREL). The computation of wind and wave spectra, as well as the evaluation of the hydrodynamic and aerodynamic loads, is conducted by using an in‐house built MATLAB® routine working together with an ANSYS® 3‐D finite element (FE) global model for evaluating the resultant peak displacement response at the OWT hub by a power spectral density (PSD) analysis. In order to validate the OWT FEM model, a result comparison is made with the NREL OpenFAST, finding good matches between the two codes. An in‐house built genetic algorithm (GA) toolbox, coded in MATLAB®, is then used to optimally design the parameters of a PTMD with a simplified 2‐degrees‐of‐freedom (2DOF) model. The chosen GA fitness function targets the minimization of the peak response of the primary structure as evaluated by the 2DOF model. The design parameters of the PTMD are the flexural rigidity and damping, the mass ratio and pendulum length. After the 3‐D FE model of the OWT without any control device has been validated, and the PTMD has been optimized by the simplified 2DOF model, the performances of the PTMD are examined on a 3‐D global FE OWT + PTMD model in ANSYS®.

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Section: Discussionsupporting

confidence: 86%

Optimal design of passive‐adaptive pendulum tuned mass damper for the global vibration control of offshore wind turbines

et al. 2020

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“…9-(d)). With the distance matrix known, the persistence diagram is obtained as described in Section 3.2, which summarizes the loops as 1-D features with lifetimes of [12,8,8,1,1]. Additionally, a histogram is used to show the lifetime multiplicity, i.e., how many points are overlaid in each location of the persistence diagram.…”

Section: Methodsmentioning

confidence: 99%

“…This physical system provides rich, non-linear dynamics over a wide range of parameter values and demonstrates both periodic and chaotic dynamics. Further, it ties in with other applications where similar systems are used such as as energy harvesting [2,11] and mass dampers [12].…”

Section: Introductionmentioning

confidence: 99%

Dynamic State Analysis of a Driven Magnetic Pendulum using Ordinal Partition Networks and Topological Data Analysis

Myers,

Khasawneh

2020

Preprint

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The use of complex networks for time series analysis has recently shown to be useful as a tool for detecting dynamic state changes for a wide variety of applications. In this work, we implement the commonly used ordinal partition network to transform a time series into a network for detecting these state changes for the simple magnetic pendulum. The time series that we used are obtained experimentally from a base-excited magnetic pendulum apparatus, and numerically from the corresponding governing equations. The magnetic pendulum provides a relatively simple, non-linear example demonstrating transitions from periodic to chaotic motion with the variation of system parameters. For our method, we implement persistent homology, a shape measuring tool from Topological Data Analysis (TDA), to summarize the shape of the resulting ordinal partition networks as a tool for detecting state changes. We show that this network analysis tool provides a clear distinction between periodic and chaotic time series. Another contribution of this work is the successful application of the networks-TDA pipeline, for the first time, to signals from non-autonomous nonlinear systems. This opens the door for our approach to be used as an automatic design tool for studying the effect of design parameters on the resulting system response. Other uses of this approach include fault detection from sensor signals in a wide variety of engineering operations.

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“…The latter is also an issue for alternative realizations of TMDs rather than the use of elastic forces to control the structure's vibrations (e.g., tuned rolling ball [126]). Nevertheless, recent work on structural vibration control is focused on overcoming these issues, such as the development of tuned mass eddy current dampers [127], for which initial work has shown promising results.…”

Section: Tuned Mass Dampers (Tmds)mentioning

confidence: 99%

Recent Advances in Vibration Control Methods for Wind Turbine Towers

2021

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Wind power is a substantial resource to assist global efforts on the decarbonization of energy. The drive to increase capacity has led to ever-increasing blade tip heights and lightweight, slender towers. These structures are subject to a variety of environmental loads that give rise to vibrations with potentially catastrophic consequences, making the mitigation of the tower’s structural vibrations an important factor for low maintenance requirements and reduced damage risk. Recent advances in the most important vibration control methods for wind turbine towers are presented in this paper, exploring the impact of the installation environment harshness on the performance of state-of-the-art devices. An overview of the typical structural characteristics of a modern wind turbine tower is followed by a discussion of typical damages and their link to known collapse cases. Furthermore, the vibration properties of towers in harsh multi-hazard environments are presented and the typical design options are discussed. A comprehensive review of the most promising passive, active, and semi-active vibration control methods is conducted, focusing on recent advances around novel concepts and analyses of their performance under multiple environmental loads, including wind, waves, currents, and seismic excitations. The review highlights the benefits of installing structural systems in reducing the vibrational load of towers and therefore increasing their structural reliability and resilience to extreme events. It is also found that the stochastic nature of the typical tower loads remains a key issue for the design and the performance of the state-of-the-art vibration control methods.

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Application of an Eddy Current-Tuned Mass Damper to Vibration Mitigation of Offshore Wind Turbines

Cited by 27 publications

References 33 publications

Optimal design of passive‐adaptive pendulum tuned mass damper for the global vibration control of offshore wind turbines

Optimal design of passive‐adaptive pendulum tuned mass damper for the global vibration control of offshore wind turbines

Dynamic State Analysis of a Driven Magnetic Pendulum using Ordinal Partition Networks and Topological Data Analysis

Recent Advances in Vibration Control Methods for Wind Turbine Towers

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