TY - GEN
T1 - The mistralwind project-towards a remaining useful lifetime analysis and holistic asset management approach for more sustainability of wind turbine structures
AU - Geiss, Christian T.
AU - Kinscherf, Simon
AU - Decker, Matthias
AU - Romahn, Stephan
AU - Botz, Max
AU - Raith, Manuel
AU - Wondra, Bernhard
AU - Grosse, Christian U.
AU - Osterminski, Kai
AU - Emiroglu, Altug
AU - Bletzinger, Kai Uwe
AU - Obradovic, Dragan
AU - Wever, Utz
PY - 2017
Y1 - 2017
N2 - In the near future more and more onshore wind turbines will reach the end of their designed service life of twenty years. From an economic and operational perspective, it can be profitable to prolong the operational activities beyond the original design life. In particular, turbines in the megawatt class bear technical and economical reserves, which should be yielded for more sustainability of wind turbine technology. Prospectively it might be possible to operate wind turbine structures longer than thirty years with a service life optimizing operation and maintenance strategy. The MISTRALWIND project (acronym for Monitoring and Inspection of Structures of Large Wind Turbines; partners: IABG Industrieanlagen-Betriebsgesellschaft mbH, Technical University Munich, Siemens AG) focusses its research activities on developing innovative and reliable methods and sensor systems for analyzing the remaining useful lifetime (RUL) capacities of a wind turbine structure. The paper is aimed at giving an overview of the first project results in the areas of FEM-modeling, wired and wire-less sensor technology, non-destructive testing techniques, fatigue mechanisms and integrating information from monitoring and inspection into the turbine's controller, and probabilistic models for optimized operation and maintenance strategies for wind turbines. The methods developed here can be transferred to other structural systems - e.g. civil engineering structures or aerospace structures - to optimize their operation and maintenance strategy.
AB - In the near future more and more onshore wind turbines will reach the end of their designed service life of twenty years. From an economic and operational perspective, it can be profitable to prolong the operational activities beyond the original design life. In particular, turbines in the megawatt class bear technical and economical reserves, which should be yielded for more sustainability of wind turbine technology. Prospectively it might be possible to operate wind turbine structures longer than thirty years with a service life optimizing operation and maintenance strategy. The MISTRALWIND project (acronym for Monitoring and Inspection of Structures of Large Wind Turbines; partners: IABG Industrieanlagen-Betriebsgesellschaft mbH, Technical University Munich, Siemens AG) focusses its research activities on developing innovative and reliable methods and sensor systems for analyzing the remaining useful lifetime (RUL) capacities of a wind turbine structure. The paper is aimed at giving an overview of the first project results in the areas of FEM-modeling, wired and wire-less sensor technology, non-destructive testing techniques, fatigue mechanisms and integrating information from monitoring and inspection into the turbine's controller, and probabilistic models for optimized operation and maintenance strategies for wind turbines. The methods developed here can be transferred to other structural systems - e.g. civil engineering structures or aerospace structures - to optimize their operation and maintenance strategy.
UR - http://www.scopus.com/inward/record.url?scp=85032373907&partnerID=8YFLogxK
U2 - 10.12783/shm2017/14153
DO - 10.12783/shm2017/14153
M3 - Conference contribution
AN - SCOPUS:85032373907
T3 - Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017
SP - 2537
EP - 2544
BT - Structural Health Monitoring 2017
A2 - Chang, Fu-Kuo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications
T2 - 11th International Workshop on Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance, IWSHM 2017
Y2 - 12 September 2017 through 14 September 2017
ER -