Experimental investigation of ice mass detection on a 1 kW wind turbine blade using its natural frequencies Sudhakar Gantasala PhD student Luleå University of Technology, Sweden June 13, 2017 Luleå University of Technology Contents Background Objectives Experimental set-up and modal analysis Results & Discussion Conclusions 2 June 13, 2017 3 Luleå University of Technology Ice detection systems # Clouds Nacelle based systems Rotor based systems o Heated anemometer o Power curve o Infrared light (HoloOptics) o o Atmospheric conditions measurement Eigen frequency (Bosch Rexroth / Fos4X / Wölfel SHM.Blade) o Changes in impedence (Eologix) o Ultrasonic signal (Goodrich) o Webcams etc. # IEA Wind Task 19: Available Technologies report of Wind Energy in Cold Climates, 2016 June 13, 2017 Luleå University of Technology 4 Background: Ice detection and removal # DongFang – Electrical resistance heating (leading edge) + Hot air system (trailing edge), Labkotec ice detector Enercon – Hot air system (225 kW for typical 3 MW wind turbines), Power curve and pitch angle based ice detection Siemens – Electrical resistance heating, Flexible ice detection sensors (power curve/Eigen frequency/external ice detection sensors) Nordex – Electrical resistance heating, Multi sensor approach for ice detection (power curve + ice sensor + meteorological conditions) Vestas – Hot air system (105-150 kW for typical 3 MW wind turbine), Power curve based ice detection # Wind turbine manufacturers presentations in Winterwind 2017 conference January 26, 2017 Luleå University of Technology 5 Impacts of icing on wind turbines # Ice accumulation on wind turbine blades reduces its natural frequencies and each frequency reduce differently based on the location and quantity of ice mass This behavior of natural frequencies can be used to detect and monitor ice growth on the wind turbine blades # Brenner, D. Determination of the actual ice mass on wind turbine blades Measurements and methods for avoiding excessive icing loads threads, WinterWind, Åre, February 9, 2016. April 13, 2016 Luleå University of Technology 6 Objectives To find information about the location and quantity of ice mass accumulated on wind turbines based on its first few natural frequencies June 13, 2017 7 Luleå University of Technology Experimental set-up and modal analysis Accelerometers Sensor 1 Sensor 2 Sensor 3 Sensor 4 Wind turbine blade Data acquisition card A 1 kW wind turbine blade (0.97 m in length, 1.26 kg) is rigidly fixed to a stationary support Experimental modal analysis (EMA) is carried out on the blade and its vibration accelerations are measured at four different locations June 13, 2017 Luleå University of Technology 8 o Ice mass in Zone 1 - 40 and 80 g o 2 EMA tests o Ice mass in Zone 2 - 40 and 80 g o 2 EMA tests o Ice mass in Zone 3 - 40 and 80 g o 2 EMA tests June 13, 2017 Luleå University of Technology 9 June 13, 2017 m1, m2, m3 10 Luleå University of Technology Direct problem masses f1, f2, f3 frequencies FEM – definite function Experiment Unique solution f1, f2, f3 Inverse problem frequencies m1, m2, m3 masses Function approximation Multiple solutions June 13, 2017 Luleå University of Technology 11 Neural network for inverse problem f1 m1 f2 m2 f3 m3 April 13, 2016 Results & Discussion Luleå University of Technology 12 June 13, 2017 Luleå University of Technology 13 Conclusions A technique to identify the location and quantity of ice mass is successfully demonstrated on 1 kW wind turbine blade based on 7 experimental modal analysis tests with ice masses The proposed technique identifies ice masses with an average error (WAPE) of 14.12 % in the eight test cases June 13, 2017 Luleå University of Technology 14 June 13, 2017 Luleå University of Technology 15 January 26, 2017 Luleå University of Technology 16 Background: Aeroelastic changes with icing Structural – Mass increases Center of gravity location changes Aerodynamic – Chord length increases Aerodynamic center location changes Lift coefficient decreases Drag coefficient increases * Lift Drag * * Wind energy production in cold climate (WECO), (1998) January 26, 2017 Luleå University of Technology 17 Background: Impacts of icing on wind turbines Reduction in power output # # Rindeskär, E. Modelling of Icing for Wind Farms in Cold Climate; Department of Earth Sciences, Uppsala University: Uppsala, Sweden, 2010 January 26, 2017 Luleå University of Technology 18 Background: Impacts of icing on wind turbines Increase in nacelle vibrations # # Skrimpas et al. Detection of icing on wind turbine blades by means of vibration and power curve analysis. Wind Energy, 2015, 19, 1819–1832 June 13, 2017 Luleå University of Technology 19 June 13, 2017 Luleå University of Technology 20 June 13, 2017 Luleå University of Technology 21 Quadratic polynomial fitted between third flapwise natural frequency of the iced NREL 5 MW wind turbine blade (when ice mass is only considered in Zone 3) and respective ice masses used in the Zone 3
© Copyright 2026 Paperzz