A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures

verfasst von

Andreas W. Momber, Tim W. Nattkemper, Daniel Langenkämper, Torben Möller, Daniel Brün, Peter Schaumann, Mohammad Sulaiman Shojai

Abstract

The application of protective coating systems is the major measure against the corrosion of steel structures for onshore wind turbines. The organic coatings are, however, susceptible to atmospheric exposure and tend to deteriorate during the operation. At the same time, onshore turbines become more powerful and require taller and more resistant tower structures. The inspection and condition monitoring of protective coating systems on large onshore turbines (in excess of 120 m height) is a demanding and time-consuming procedure and requires high human effort. The rapid developments in digitization and data analysis offer opportunities to notably increase the efficiency of monitoring processes and to develop (semi-)automated standardized procedures. The paper describes a data-oriented approach to utilize digital data for the monitoring and maintenance planning of surface protection systems of large onshore wind turbines. The proposed approach includes the following steps: the segmentation of an existing wind power structure into a number of reference areas based on an In-situ Virtual Twin; the definition of a local deterioration degree for each individual reference area; the annotation of image data; the use of heterogenous multi-modal data (image data, geodetical data, meteorological data, profile scanning data) as the sources for condition assessment and monitoring. An example procedure is exercised for a tower structure of an onshore wind power turbine in order to illustrate the practical relevance of the approach.

Organisationseinheit(en)

Institut für Stahlbau

Externe Organisation(en)

Universität Bielefeld
saltation GmbH & Co. KG
Muehlhan AG

Typ

Artikel

Journal

Renewable energy

Band

186

Seiten

957-973

Anzahl der Seiten

17

ISSN

0960-1481

Publikationsdatum

03.2022

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Erneuerbare Energien, Nachhaltigkeit und Umwelt

Ziele für nachhaltige Entwicklung

SDG 7 – Erschwingliche und saubere Energie

Elektronische Version(en)

https://doi.org/10.1016/j.renene.2022.01.022 (Zugang: Geschlossen)
https://doi.org/10.1016/j.renene.2022.02.079 (Zugang: Offen)