Clir Renewables has released a new software feature which detects icing on turbine blades and measures its impact on performance. Clir developed a solution to automatically detect icing and quantify the associated losses. The algorithm uses a probability analysis approach to flag deviations from historical, turbine-specific power curves, based on site-specific climatic conditions and historical icing events. The icing events are automatically flagged to the user as a part of their standard system, including the losses related to the events, which enables users to make informed decisions on how to proceed. The method is based on IEA Task 19's standardized and approved method for ice loss calculations and has been further refined within the Clir system. Based on the results from the algorithm, Clir can make recommendations for optimization when the wind farm is experiencing icing. As part of this optimization work, an evaluation of any installed ice detection and mitigation system is undertaken, and the results are also useful for the evaluation of available third-party alternatives.
Clir Renewables | http://www.clir.eco