Grant: Applied Research and Development Grants - Level 3
Cégep de la Gaspésie et des ?les
$149,544.00
Iced Wind Turbine Control Optimization
EF 2015-16
Résumé
Since 2010, Senvion has installed a fleet of more than 200 MM82/92 2.05 MW Cold Climate Version (CCV)
wind turbines in Quebec which are exposed to low temperatures and moderate to severe icing conditions. Ice
accretion on wind turbine blades may cause aerodynamic and mass imbalances that can lead to production
losses as well as increased extreme loads.
The main objective of this project is to optimize the ice operation mode of a Senvion turbine in order to
maximize energy yield while ensuring a minimal risk of high extreme loads. More specifically, the project aims
to improve ice detection, validate ice induced loads, and optimize turbine control parameters during icing
events.
These objectives will be achieved by conducting a measurement campaign on four Senvion MM92 CCV wind
turbines currently operating at two wind farms in Quebec, and which are exposed to moderate and severe icing
conditions. The turbines are equipped with additional meteorological, ice and load sensors. The data will be
analyzed and used to characterize icing events and validate load assumptions. The turbine's ice operation mode
will be optimized based on the results of analysis and simulation.
It is expected that the ice operation mode of Senvion turbines will be greatly improved by the end of this
project, providing the said manufacturer with a competitive edge in the growing Canadian wind energy market,
which is predominantly in cold climate. As a result of an optimized ice operation mode, wind farm owners will
maximize their assets and the Canadian power grid will be more stable, leading to greater penetration of
renewable energy.
Programme
Applied Research and Development Grants - Level 3
Bénéficiaire
Emplacement
Quebec, Canada
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
469228-2014
Name nom
Larrivée, Michel
Department département
Siège social
Organization id
23017
Institution établissement
Cégep de la Gaspésie et des ?les
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2014
Award amount
149544
Program id
CARD3
Program name en
Applied Research and Development Grants - Level 3
Program name fr
Subventions de recherche et développement appliquée - niveau 3
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
300
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy resources (including production, exploration, processing, distribution and use)
Area of application fr
Ressources d'énergie (production, exploration, traitement, distribution et utilisation de l'énergie)
Research subject code
2303
Research subject group en
Fuel and energy technology
Research subject group fr
Combustibles et technologie de l'énergie
Research subject en
Other sources of energy (solar, wind, etc.)
Research subject fr
Autres sources d'énergie (combustibles solaire, éolien, etc).
Partie
1
Nb partie
3
Application title
Iced Wind Turbine Control Optimization
Keyword
NSERC
Application summary
Since 2010, Senvion has installed a fleet of more than 200 MM82/92 2.05 MW Cold Climate Version (CCV)
wind turbines in Quebec which are exposed to low temperatures and moderate to severe icing conditions. Ice
accretion on wind turbine blades may cause aerodynamic and mass imbalances that can lead to production
losses as well as increased extreme loads.
The main objective of this project is to optimize the ice operation mode of a Senvion turbine in order to
maximize energy yield while ensuring a minimal risk of high extreme loads. More specifically, the project aims
to improve ice detection, validate ice induced loads, and optimize turbine control parameters during icing
events.
These objectives will be achieved by conducting a measurement campaign on four Senvion MM92 CCV wind
turbines currently operating at two wind farms in Quebec, and which are exposed to moderate and severe icing
conditions. The turbines are equipped with additional meteorological, ice and load sensors. The data will be
analyzed and used to characterize icing events and validate load assumptions. The turbine's ice operation mode
will be optimized based on the results of analysis and simulation.
It is expected that the ice operation mode of Senvion turbines will be greatly improved by the end of this
project, providing the said manufacturer with a competitive edge in the growing Canadian wind energy market,
which is predominantly in cold climate. As a result of an optimized ice operation mode, wind farm owners will
maximize their assets and the Canadian power grid will be more stable, leading to greater penetration of
renewable energy.