Grant: Collaborative Research and Development Grants
École de technologie supérieure
$39,441.00
Calculateur avancé de dommage d'éoliennes et estimateur de durée de vie restante
FY 2019-20
Summary
Wind turbines are designed to operate according to an estimated profile of the environmental conditions of a given site. The IEC 64100-1 standard defines wind turbine classes according to these conditions. During the design, the manufacturers make the dimensioning of this equipment according to each class. The expected life of the wind turbines when they are designed is nominally 20 years. Today, the average age of wind turbines in Quebec is about 10 years. The high costs of acquisition, installation and unavailability drive wind farm operators to question the optimal maintenance policy to adopt. As a result, the development of decision support tools to establish an economically justified choice (e.g., repair or replacement) while minimizing the risk associated with operating such equipment. Thus, the precise estimate of the residual reliability of this type of equipment becomes a strategic issue for the fleet operators.This project implements multi-disciplinary work encompassing various areas such as fracture mechanics, reliability, prognosis and learning. In addition to operational data already available, we plan to instrument three wind turbines. With the usual sensors (e.g. vibration, temperature ...) and the installation of strain gauges at the connection between the blades and the hub (maximum stress point), it's expected to capture the actual profile of the mechanical stress induced by the wind. . This captured profile will be extrapolated to simulate a plausible life profile for a given site. Knowledge of the terrain topography will extrapolate the profile to similar sites. Fatigue will be studied primarily as the main mode of failure. The projected works will contribute to better knowing the nature and the amplitudes of the mechanical stresses on the structure, which will allow a more precise computation of the residual lifespan, and to establish precise predictions.
Program
Collaborative Research and Development Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
543389-2019
Name nom
Tahan, Antoine
Department département
Génie mécanique
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
39441
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
303
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Alternative energy resources
Area of application fr
Autres ressources d'énergie
Research subject code
2100
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical engineering
Research subject fr
Génie mécanique
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Calculateur avancé de dommage d'éoliennes et estimateur de durée de vie restante
Keyword
NSERC
Application summary
Wind turbines are designed to operate according to an estimated profile of the environmental conditions of a given site. The IEC 64100-1 standard defines wind turbine classes according to these conditions. During the design, the manufacturers make the dimensioning of this equipment according to each class. The expected life of the wind turbines when they are designed is nominally 20 years. Today, the average age of wind turbines in Quebec is about 10 years. The high costs of acquisition, installation and unavailability drive wind farm operators to question the optimal maintenance policy to adopt. As a result, the development of decision support tools to establish an economically justified choice (e.g., repair or replacement) while minimizing the risk associated with operating such equipment. Thus, the precise estimate of the residual reliability of this type of equipment becomes a strategic issue for the fleet operators.This project implements multi-disciplinary work encompassing various areas such as fracture mechanics, reliability, prognosis and learning. In addition to operational data already available, we plan to instrument three wind turbines. With the usual sensors (e.g. vibration, temperature ...) and the installation of strain gauges at the connection between the blades and the hub (maximum stress point), it's expected to capture the actual profile of the mechanical stress induced by the wind. . This captured profile will be extrapolated to simulate a plausible life profile for a given site. Knowledge of the terrain topography will extrapolate the profile to similar sites. Fatigue will be studied primarily as the main mode of failure. The projected works will contribute to better knowing the nature and the amplitudes of the mechanical stresses on the structure, which will allow a more precise computation of the residual lifespan, and to establish precise predictions.