TY - GEN
T1 - Long-Term Multiple Sensor Monitoring of a Hybrid Tower Wind Turbine – Lessons Learned
AU - Rupfle, Johannes
AU - Wondra, Bernhard
AU - Grosse, Christian U.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Wind turbines are usually designed for a lifetime of 20 years in Europe. A typical design of a wind turbine shows only little consideration for differences in location (flat areas, complex terrain), wind fields (rotating wind, upwind), or accessibility of the structure (off-shore, on-shore). Moreover, most wind turbines are typically equipped with only a few sensors that are used to control the turbine and record electrical and meteorological data. This makes it difficult to set up an efficient maintenance strategy to optimize maintenance intervals, the replacements of malfunctioning parts, the durability of the components, the cost of electricity, and to determine the remaining useful life. The authors are members of a group from the Technical University of Munich who have had the opportunity to work on several projects dealing with the improvement of monitoring systems and using a combination of wireless, wired, and other sensing techniques. It was the objective to obtain critical data at carefully selected points of the tower of a hybrid wind turbine out of pre-stressed concrete and steel. Automatic data recording, evaluation, and transmission techniques have been implemented to update material models in the frame of a digital twin of the turbine, identify icing on blades, optimize maintenance and operational parameters, and increase the overall sustainability of the turbine. The paper summarizes some of the findings from more than seven years of research.
AB - Wind turbines are usually designed for a lifetime of 20 years in Europe. A typical design of a wind turbine shows only little consideration for differences in location (flat areas, complex terrain), wind fields (rotating wind, upwind), or accessibility of the structure (off-shore, on-shore). Moreover, most wind turbines are typically equipped with only a few sensors that are used to control the turbine and record electrical and meteorological data. This makes it difficult to set up an efficient maintenance strategy to optimize maintenance intervals, the replacements of malfunctioning parts, the durability of the components, the cost of electricity, and to determine the remaining useful life. The authors are members of a group from the Technical University of Munich who have had the opportunity to work on several projects dealing with the improvement of monitoring systems and using a combination of wireless, wired, and other sensing techniques. It was the objective to obtain critical data at carefully selected points of the tower of a hybrid wind turbine out of pre-stressed concrete and steel. Automatic data recording, evaluation, and transmission techniques have been implemented to update material models in the frame of a digital twin of the turbine, identify icing on blades, optimize maintenance and operational parameters, and increase the overall sustainability of the turbine. The paper summarizes some of the findings from more than seven years of research.
KW - Modal Analysis
KW - Multiple Sensors
KW - Remote Sensing
KW - Structural Health Monitoring
KW - Wind Turbines
UR - http://www.scopus.com/inward/record.url?scp=85172175097&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-39109-5_55
DO - 10.1007/978-3-031-39109-5_55
M3 - Conference contribution
AN - SCOPUS:85172175097
SN - 9783031391088
T3 - Lecture Notes in Civil Engineering
SP - 539
EP - 549
BT - Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 1
A2 - Limongelli, Maria Pina
A2 - Giordano, Pier Francesco
A2 - Gentile, Carmelo
A2 - Quqa, Said
A2 - Cigada, Alfredo
PB - Springer Science and Business Media Deutschland GmbH
T2 - Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2
Y2 - 30 August 2023 through 1 September 2023
ER -