Long-Term Multiple Sensor Monitoring of a Hybrid Tower Wind Turbine – Lessons Learned

Johannes Rupfle, Bernhard Wondra, Christian U. Grosse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 1
EditorsMaria Pina Limongelli, Pier Francesco Giordano, Carmelo Gentile, Said Quqa, Alfredo Cigada
PublisherSpringer Science and Business Media Deutschland GmbH
Pages539-549
Number of pages11
ISBN (Print)9783031391088
DOIs
StatePublished - 2023
EventExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2 - Milan, Italy
Duration: 30 Aug 20231 Sep 2023

Publication series

NameLecture Notes in Civil Engineering
Volume432 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

ConferenceExperimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2
Country/TerritoryItaly
CityMilan
Period30/08/231/09/23

Keywords

  • Modal Analysis
  • Multiple Sensors
  • Remote Sensing
  • Structural Health Monitoring
  • Wind Turbines

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