A fiber-optic ice detection system for large-scale wind turbine blades

2017 ◽  
Author(s):  
Dae-gil Kim ◽  
Sampath Umesh ◽  
Minho Song ◽  
Hyun-Jin Kim
Keyword(s):  
Wind Turbine ◽  
Large Scale ◽  
Fiber Optic ◽  
Detection System ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Ice Detection

scholarly journals Risk Assessment and Value of Action Analysis for Icing Conditions of Wind Turbines Close to Highways

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2653 ◽  
Author(s):  
Rastayesh ◽  
Long ◽  
Sørensen ◽  
Thöns
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Urban Areas ◽  
Detection System ◽  
Turbine Blades ◽  
Heating System ◽  
Economic Losses ◽  
Wind Turbine Blades ◽  
Heating Systems ◽  
Ice Detection

The paper presents research results from the Marie Skłodowska-Curie Innovative Training Network INFRASTAR in the field of reliability approaches for decision-making for wind turbines and bridges. This paper addresses the application of Bayesian decision analysis for installation of heating systems in wind turbine blades in cases where an ice detection system is already installed in order to allow wind turbines to be placed close to highways. Generally, application of ice detection and heating systems for wind turbines is very relevant in cases where the wind turbines are planned to be placed close to urban areas and highways, where risks need to be considered due to icing events, which may lead to consequences including human fatality, functional disruptions, and/or economic losses. The risk of people being killed in a car passing on highways near a wind turbine due to blades parts or ice pieces being thrown away in cases of over-icing is considered in this paper. The probability of being killed per kilometer and per year is considered for three cases: blade parts thrown away as a result of a partial or total failure of a blade, ice thrown away in two cases, i.e., of stopped wind turbines and of wind turbines in operation. Risks due to blade parts being thrown away cannot be avoided, since low strengths of material, maintenance or manufacturing errors, mechanical or electrical failures may result in failure of a blade or blade part. The blade (parts) thrown away from wind turbines in operation imply possible consequences/fatalities for people near the wind turbines, including in areas close to highways. Similar consequences are relevant for ice being thrown away from wind turbine blades during icing situations. In this paper, we examine the question as to whether it is valuable to put a heating system on the blades in addition to ice detection systems. This is especially interesting in countries with limited space for placing wind turbines; in addition, it is considered if higher power production can be obtained due to less downtime if a heating system is installed.

Guided wave–based approach for ice detection on wind turbine blades

2018 ◽  
Vol 42 (5) ◽  
pp. 483-495 ◽  
Author(s):  
Siavash Shoja ◽  
Viktor Berbyuk ◽  
Anders Boström
Keyword(s):  
Experimental Data ◽  
Wind Turbine ◽  
Composite Structures ◽  
Detection System ◽  
Turbine Blades ◽  
Guided Wave ◽  
Cold Climate ◽  
Wind Turbine Blades ◽  
Time Frequency ◽  
Ice Detection

An efficient ice detection system is an important tool to optimize the de-icing processes in wind turbines operating in cold climate regions. The aim of this work is to study the application of guided wave for ice detection on wind turbine blades. Computational model is developed to simulate guided wave propagation on composite structures. The model has been validated with experimental data obtained in cold climate laboratory. Effect of ice accretion on composite structures is studied in the time, frequency and wavenumber domains. In each case, post-processing algorithms as well as icing index are introduced which are sensitive to accumulated ice on the composite structure. The algorithms and icing index are applied to both simulation results and experimental data. Analysis of the obtained results has shown that the guided wave–based approach can be used for developing ice detection systems for wind turbine blades.

scholarly journals A Robot-Assisted Large-Scale Inspection of Wind Turbine Blades in Manufacturing Using an Autonomous Mobile Manipulator

2021 ◽  
Vol 11 (19) ◽  
pp. 9271
Author(s):  
Heiko Engemann ◽  
Patrick Cönen ◽  
Harshal Dawar ◽  
Shengzhi Du ◽  
Stephan Kallweit
Keyword(s):  
Wind Turbine ◽  
Rotor Blade ◽  
Large Scale ◽  
Turbine Blades ◽  
Rotor Blades ◽  
Mobile Manipulator ◽  
Wind Turbine Blades ◽  
Left Hand ◽  
Planning Strategy ◽  
Execution Strategy

Wind energy represents the dominant share of renewable energies. The rotor blades of a wind turbine are typically made from composite material, which withstands high forces during rotation. The huge dimensions of the rotor blades complicate the inspection processes in manufacturing. The automation of inspection processes has a great potential to increase the overall productivity and to create a consistent reliable database for each individual rotor blade. The focus of this paper is set on the process of rotor blade inspection automation by utilizing an autonomous mobile manipulator. The main innovations include a novel path planning strategy for zone-based navigation, which enables an intuitive right-hand or left-hand driving behavior in a shared human–robot workspace. In addition, we introduce a new method for surface orthogonal motion planning in connection with large-scale structures. An overall execution strategy controls the navigation and manipulation processes of the long-running inspection task. The implemented concepts are evaluated in simulation and applied in a real-use case including the tip of a rotor blade form.

A review of integrating ice detection and mitigation for wind turbine blades

2019 ◽  
Vol 103 ◽  
pp. 269-281 ◽  
Author(s):  
Ezieddin Madi ◽  
Kevin Pope ◽  
Weimin Huang ◽  
Tariq Iqbal
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Ice Detection

Parametric Stiffness in Large-Scale Wind-Turbine Blades and the Effects on Resonance and Speed Locking

2020 ◽  
Author(s):  
Ayse Sapmaz ◽  
Brian F. Feeny
Keyword(s):  
Wind Turbine ◽  
Large Scale ◽  
Turbine Blades ◽  
Relative Strength ◽  
Wind Turbine Blades ◽  
Fixed Position ◽  
Horizontal Axis Wind Turbine ◽  
Parametric Effect ◽  
Parametric Effects ◽  
Blade Tip

Abstract This paper is on parametric effect in large scale horizontal-axis wind-turbine blades and speed locking phenomenon for a simplified model of the in-plane blade-hub dynamics. The relative strength of the parametric stiffness is evaluated for actual and scaled-length blades. Fixed-position natural frequencies are found at different rotation angles to show the significance of the gravity’s parametric effect. The ratio of the parametric and elastic modal stiffness is then estimated for the scaled versions of the NREL’s blades for four models to present the relation between the blade size and the parametric effects. The parametric effect on blade tip placements are investigated for superharmonic resonances at orders two and three for blades of various lengths. An analysis of speed-locking is presented, and interpreted for the various blades.

Metamodel-Assisted Ice Detection for Wind Turbine Blades

2011 ◽  
Author(s):  
Veruska Malave´ ◽  
Cameron J. Turner
Keyword(s):  
Wind Turbine ◽  
Health Management ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Position Angle ◽  
Design Tool ◽  
Detection Technique ◽  
Wind Turbine Blades ◽  
Pitch Moment ◽  
Ice Detection

Icing is a complex atmospheric phenomenon that causes airflow disruption and degrades aerodynamically the original performance of the wind turbine blades (WTBs). This is due to blade sensitivity to minor changes in the airfoil geometry. Aerodynamic distortions induced by ice decrease the lift-to-draft ratio and pitch moment, increase the airfoil weight, and adversely alter the effectiveness of position angle and velocity. Typically, wind turbines exposed to all-weather conditions are equipped with icing prevention systems (IPS). However at the present time, no ice-detection technique has been proven effective, and the implementation of new strategies that effectively detect and mitigate blade icing adverse effects are needed. In this work, a WTB ice-detection technique that consists of a numerical design tool using Matlab/Simulink models and non-uniform rational B-spline (NURBs) based metamodeling algorithms is examined. This is carried out in terms of the blade icing effects on turbine aerodynamic performance in accordance to condition-based maintenance (CBM) and prognostics health management (PHM) techniques.

Nonlinear Dynamics of a Rotary Energy Harvester With a Double Frequency Up-Conversion Mechanism

2020 ◽  
Vol 15 (9) ◽  
Author(s):  
Saman Nezami ◽  
Soobum Lee
Keyword(s):  
Wind Turbine ◽  
Large Scale ◽  
Energy Harvester ◽  
Turbine Blades ◽  
Physical Contact ◽  
Wind Turbine Blades ◽  
Double Frequency ◽  
Coupled Equations ◽  
Piezoelectric Energy ◽  
Cantilevered Beam

Abstract This paper develops a mathematical model of a two degree-of-freedom piezoelectric energy harvester (PEH) in which vibration is driven by disk swing motion. The proposed device converts slow mechanical rotation into piezoelectric vibration using gravity force and magnetic repelling force. The harvester consists of a disk and a piezoelectric cantilevered beam. The disk with an unbalanced mass swings on a rotating object (e.g., wind turbine blade) and two magnets attached to both the beam and the disk can transfer the kinetic energy of the disk to the beam without physical contact. The energy method is used to derive three coupled equations to model the motion of the disk, vibration of the beam, and the piezoelectric voltage output. The effect of harvester orientation on power generation performance is studied as the rotational speed changes, and the simulation results are experimentally verified. Possible application of this energy harvester to a power-sustainable sensor node for large-scale wind turbine blades monitoring is discussed.

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