Vers une amélioration des performances des éoliennes en conditions de givre

Authors: Plante Montminy, Daryl
Advisor: Bégin-Drolet, AndréRuel, Jean
Abstract: Wind Power is an energy source of the future, with its capability to help fighting against climate change, but also through its economic competitiveness. Cold climate regions such as Canada have a huge wind potential due to an advantageous distribution of wind flow. However, these regions are often the ones where atmospheric icing events are the most significant. Ice accretion on wind turbine blades is a major concern for wind farm operators, resulting in significant power production losses. This project aims to improve the knowledge on the impacts of icing on wind-turbine blades and to suggest alternative solutions in order to reduce those power-production losses caused by icing. Numerical and experimental approaches were used to determine the theoretical behavior of a wind turbine under different icing conditions. First, turbines from a wind farm in the province of Quebec were instrumented to measure in situ atmospheric conditions. After nearly two complete winters of data acquisition, the meteorological data from the instrumented wind turbines were compared to determine their spatial and temporal extent in order to optimize the number of measurement points in a wind farm. Meteorological data were acquired with four Meteorological Condition Monitoring Stations (MCMS) installed on turbine's nacelles, in different place through the wind farm. On the other hand, a numerical model was developed following the Blade Element Momentum (BEM) method in order to compute the theoretical power of a wind turbine. The ice accretion code LEWICE was used to compute ice accretion on a reference cylinder and blade airfoils with input data recorded on wind-turbine nacelles during icing events. Subsequently, the iced airfoils were analyzed with the StarCCM+ CFD software to explore the impact of icing on the aerodynamic performance losses of the blade sections. These results were then as input of the BEM numerical model and compared to real performance data from the instrumented wind turbine during the same icing events in order to validate the method used in the project.
Document Type: Mémoire de maîtrise
Issue Date: 2022
Open Access Date: 16 May 2022
Grantor: Université Laval
Collection:Thèses et mémoires

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