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Aeroelastic simulations of wind turbine using 13 DOF rigid beam model
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0001-8216-9464
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0001-6016-6342
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.ORCID iD: 0000-0001-7599-0895
2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

The vibration behavior of wind turbine substructures is mainly dominated by their first few vibration modes because wind turbines operate at low rotational speeds. In this study, 13 degrees of freedom (DOF) model of a wind turbine is derived considering fundamental vibration modes of the tower and blades which are modelled as rigid beams with torsional springs attached at their root. Linear equations of motion (EOM) governing the structural behavior of wind turbines are derived by assuming small amplitude vibrations. This model is used to study the coupling between the structural and aerodynamic behavior of NREL 5 MWmodel wind turbine. Aeroelastic natural frequencies of the current model are compared with the results obtained from the finite element model of this wind turbine. Quasi-steady aerodynamic loads are calculated considering wind velocity changes due to height and tower shadow effects. In this study, vibration responses are simulated at various wind velocities. The derived 13 DOF simplified model of the wind turbine enables to simulate the influence ofchange in parameters and operating conditions on vibration behavior with less computational effort. Besides that, the results of the simplified models can be interpreted with much ease.

Place, publisher, year, edition, pages
2016.
National Category
Other Mechanical Engineering Fluid Mechanics and Acoustics
Research subject
Computer Aided Design; Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-32570Local ID: 71b9860a-5951-4f01-890c-78a58cd41753OAI: oai:DiVA.org:ltu-32570DiVA, id: diva2:1005804
Conference
International Symposium on Transport Phenomena and Dynamics of Rotating Machinery : 10/04/2016 - 15/04/2016
Note
Godkänd; 2016; 20160512 (sudgan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2019-10-21Bibliographically approved
In thesis
1. Detection of blade icing and its influence on wind turbine vibrations
Open this publication in new window or tab >>Detection of blade icing and its influence on wind turbine vibrations
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wind turbine installations in extreme conditions like cold climate have increased over thelast few years and expected to grow in future in North America, Europe, and Asia regionsdue to good wind resources and land availability. Their installed capacity could reach186 GW by the end of 2020. The cold climate sites impose the risk of ice accumulationon turbines during the winter due to the humidity at low temperatures. Since theatmospheric and operating conditions of the wind turbine leading to blade icing varystochastically in space and time, the resulting ice accumulation is completely random, itis even different for turbines within the same site. Ice accumulation alters aerofoil shapesof the blade, affecting their aeroelastic behavior. The icing severity at different locationsof the blade and their non-uniform distribution on blades have a distinct influence onturbine power output and vibrations. The current thesis proposes a methodology toinvestigate such behavior of wind turbines by considering the structural and aerodynamicproperty changes in the blade due to icing. An automated procedure is used to scalesimulated/measured ice shape on aerofoil sections of the blade according to a specifiedice mass distribution. The aeroelastic behavior of the blades is simulated considering thestatic aerodynamic coefficients of the iced aerofoil sections. The proposed methodologyis demonstrated on the National Renewable Energy Laboratory (NREL) 5 MW baselinewind turbine model. The method can be leveraged to analyze the influence of icing onany wind turbine model.De/Anti-icing systems are installed on the turbines to mitigate the risks associatedwith icing. It is essential to detect icing at the early stage and initiate these systems toavoid production losses and limit the risks associated with ice throw. Ice accumulationincreases blade mass and its spatial distribution changes natural frequencies of the blade.A detection technique is proposed in this thesis to characterize ice mass distributionon the blades based on its natural frequencies. The detection technique is validatedusing experiments on a small-scale cantilever beam and 1-kW wind turbine bladeset-ups and its effectiveness is also verified on large-scale wind turbine blades usingnumerical models. The proposed technique has the potential for detecting ice masseson large wind turbines operating in cold climate as it requires only first few naturalfrequencies of the blade. These natural frequencies are usually excited by the turbulentwind in operation/standstill conditions and they can be estimated from the vibrationmeasurements of the blade.

Place, publisher, year, edition, pages
Luleå University of Technology, 2019
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Applied Mechanics Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
urn:nbn:se:ltu:diva-76460 (URN)978-91-7790-482-3 (ISBN)978-91-7790-483-0 (ISBN)
Public defence
2019-12-06, E632, Lulea, 09:00 (English)
Opponent
Supervisors
Available from: 2019-10-22 Created: 2019-10-21 Last updated: 2019-10-22Bibliographically approved

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Authority records BETA

Gantasala, SudhakarLuneno, Jean-ClaudeAidanpää, Jan-OlovCervantes, Michel

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