TY - GEN
T1 - Analysis of Icing on Wind Turbines by Combined Wireless and Wired Acceleration Sensor Monitoring
AU - Wondra, B.
AU - Rupfle, J.
AU - Emiroglu, A.
AU - Grosse, C. U.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Rotor blade icing negatively affects the operation of wind turbines and its electricity generation. The ice layer increases the blade masses, influences aerodynamics, and can fall off anytime during rotation with unpredictable trajectory and impact on ground. Due to this potential risk to human life, operation needs to be interrupted. Turbines equipped with blade heating face a downtime of some minutes to hours until removal of ice and restart of operation. Older turbines without heating system might stand still for a longer duration, resulting in significant loss of generated electricity. Modern Supervisory Control And Data Acquisition (SCADA) systems either detect icing by sophisticated measurement systems in the rotor blades, for example fiber Bragg grating devices, or predict the presence of ice by a combination of measured moisture, temperature and wind speed. Wireless acceleration sensors on the turbine tower may detect icing, monitor ice growth and even predict time of alert. The present work discusses the surveillance of an existing power plant by both wireless and wired acceleration sensors in parallel to the ice alerts of the turbine’s SCADA system and change of key parameters for indication of icing status.
AB - Rotor blade icing negatively affects the operation of wind turbines and its electricity generation. The ice layer increases the blade masses, influences aerodynamics, and can fall off anytime during rotation with unpredictable trajectory and impact on ground. Due to this potential risk to human life, operation needs to be interrupted. Turbines equipped with blade heating face a downtime of some minutes to hours until removal of ice and restart of operation. Older turbines without heating system might stand still for a longer duration, resulting in significant loss of generated electricity. Modern Supervisory Control And Data Acquisition (SCADA) systems either detect icing by sophisticated measurement systems in the rotor blades, for example fiber Bragg grating devices, or predict the presence of ice by a combination of measured moisture, temperature and wind speed. Wireless acceleration sensors on the turbine tower may detect icing, monitor ice growth and even predict time of alert. The present work discusses the surveillance of an existing power plant by both wireless and wired acceleration sensors in parallel to the ice alerts of the turbine’s SCADA system and change of key parameters for indication of icing status.
KW - Structural health monitoring
KW - Wireless acceleration measurement
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85134327855&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-07254-3_15
DO - 10.1007/978-3-031-07254-3_15
M3 - Conference contribution
AN - SCOPUS:85134327855
SN - 9783031072536
T3 - Lecture Notes in Civil Engineering
SP - 143
EP - 155
BT - European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1
A2 - Rizzo, Piervincenzo
A2 - Milazzo, Alberto
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th European Workshop on Structural Health Monitoring, EWSHM 2022
Y2 - 4 July 2022 through 7 July 2022
ER -