TY - GEN
T1 - Structural health monitoring as a tool for smart maintenance of wind turbines
AU - Botz, M.
AU - Raith, M.
AU - Emiroglu, A.
AU - Wondra, B.
AU - Grosse, C. U.
N1 - Publisher Copyright:
© 2019 Taylor & Francis Group, London, UK.
PY - 2019
Y1 - 2019
N2 - Wind turbines are designed for a lifetime of 20 years in Europe. A typical design of a wind turbine shows only little considerations for differences in location (flat, complex terrain), wind fields (rotating wind, upwind) or accessibility of the structure. Moreover, wind turbines are typically equipped with only a few (SCADA) sensors that are used to control the turbine and to record electrical and meteorological data. This makes it difficult to set up an efficient maintenance strategy to optimize maintenance intervals including the replacement of malfunctioning parts. Other issues that need to be addressed are the durability of the components, the cost of electricity, and the overall lifetime. The paper will present studies where a cost-efficient combination of wireless, wired and other sensing techniques was used to obtain critical data at carefully selected points of the tower of hybrid wind turbines out of pre-stressed concrete and steel. The data can be used to update material models in the frame of a digital twin of the turbine to optimize maintenance and operational parameters and to increase the sustainable use of the turbine.
AB - Wind turbines are designed for a lifetime of 20 years in Europe. A typical design of a wind turbine shows only little considerations for differences in location (flat, complex terrain), wind fields (rotating wind, upwind) or accessibility of the structure. Moreover, wind turbines are typically equipped with only a few (SCADA) sensors that are used to control the turbine and to record electrical and meteorological data. This makes it difficult to set up an efficient maintenance strategy to optimize maintenance intervals including the replacement of malfunctioning parts. Other issues that need to be addressed are the durability of the components, the cost of electricity, and the overall lifetime. The paper will present studies where a cost-efficient combination of wireless, wired and other sensing techniques was used to obtain critical data at carefully selected points of the tower of hybrid wind turbines out of pre-stressed concrete and steel. The data can be used to update material models in the frame of a digital twin of the turbine to optimize maintenance and operational parameters and to increase the sustainable use of the turbine.
UR - http://www.scopus.com/inward/record.url?scp=85078987920&partnerID=8YFLogxK
U2 - 10.1201/9780429426506-339
DO - 10.1201/9780429426506-339
M3 - Conference contribution
AN - SCOPUS:85078987920
SN - 9781138386969
T3 - Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019
SP - 1971
EP - 1975
BT - Advances in Engineering Materials, Structures and Systems
A2 - Zingoni, Alphose
PB - CRC Press/Balkema
T2 - 7th International Conference on Structural Engineering, Mechanics and Computation, 2019
Y2 - 2 September 2019 through 4 September 2019
ER -