Print Email Facebook Twitter Predicting the icing risk of wind turbine rotor blades using aircraft icing tools Title Predicting the icing risk of wind turbine rotor blades using aircraft icing tools Author Spranger, L.L.C.C. Contributor Timmer, W.A. (mentor) Sørensen, J.N. (mentor) Stoevesandt, B. (mentor) Strickmann, G. (mentor) Faculty Aerospace Engineering Department Aerodynamics, Wind Energy & Propulsion Programme EWEM European Wind Energy Master Date 2016-06-27 Abstract As on-shore wind farms are being installed in colder and harsher climatic areas in increasing numbers, it becomes more and more important to have adequate measures for dealing with rotor blade icing. Rotor blade icing can lead to a number of serious consequences for the safety, power production, and operation of a wind turbine or entire wind farm. As part of a research project on wind turbine icing carried out by the German government, a method to estimate the icing risk for a wind turbine rotor at an early stage has been developed and programmed in Python for the wind turbine manufacturer Enercon. This ‘Kalkulativer Icing Risk Analyser’, in short ‘KIRA’, uses discretised wind turbine blade geometry and meteorological icing parameters as input to determine the icing risk of the rotor by using a critical icing rate limit that is characteristic to a certain wind turbine type. The method for determining this icing rate limit has been employed on the Enercon E-82 2MW wind turbine using a power curve comparison strategy. Subject Windenergy To reference this document use: http://resolver.tudelft.nl/uuid:fcd6522c-9139-48f6-be1b-55b509b588c1 Embargo date 2021-06-27 Part of collection Student theses Document type master thesis Rights (c) 2016 Spranger, L.L.C.C. Files PDF Master Thesis TU Delft_LS ... ranger.pdf 4.16 MB Close viewer /islandora/object/uuid:fcd6522c-9139-48f6-be1b-55b509b588c1/datastream/OBJ/view