Zitieren Sie bitte immer diesen URN: urn:nbn:de:kobv:b43-602731
Structural health monitoring of hydrogen pressure vessels using distributed fiber optic sensing
- We report on distributed fiber optic sensing-based monitoring of hydrogen composite overwrapped pressure vessels (COPV) to simultaneously increase the operational lifespan and mitigate maintenance costs. Our approach represents, to the best of our knowledge, the first application of distributed fiber optic sensing for COPV Type IV monitoring, where the sensing fibers are attached to the surface, rather than integrated into the composite material. Specifically, we attach an optical fiber of 50 m to the pressure vessel's surface, covering both the cylindrical and dome sections. We note that our fiber optic sensing technique relies on swept wavelength interferometry providing strain information along the entire length of the optical fiber with high spatial resolution even at the millimeter scale. When the vessel is pressurized, the sensing optical fiber shows a linear strain response to pressure at every position along the fiber. After thousands of load cycles, the vessel finally failsWe report on distributed fiber optic sensing-based monitoring of hydrogen composite overwrapped pressure vessels (COPV) to simultaneously increase the operational lifespan and mitigate maintenance costs. Our approach represents, to the best of our knowledge, the first application of distributed fiber optic sensing for COPV Type IV monitoring, where the sensing fibers are attached to the surface, rather than integrated into the composite material. Specifically, we attach an optical fiber of 50 m to the pressure vessel's surface, covering both the cylindrical and dome sections. We note that our fiber optic sensing technique relies on swept wavelength interferometry providing strain information along the entire length of the optical fiber with high spatial resolution even at the millimeter scale. When the vessel is pressurized, the sensing optical fiber shows a linear strain response to pressure at every position along the fiber. After thousands of load cycles, the vessel finally fails with the optical fiber detecting and precisely localizing the damage in the vessel’s blind dome area. Furthermore, we discuss the potential of state-of-the-art signal processing methods and machine learning for advancing predictive maintenance. This could reduce the number of regular inspections, mitigate premature maintenance costs, and simultaneously increase the vessel’s remaining safe service life. We believe that the structural health monitoring of hydrogen pressure vessels with fiber optic sensors can enhance trust in hydrogen technology contributing to the energy transition in the future.…
Autor*innen: | Christos KarapanagiotisORCiD, Marcus Schukar, Mathias Breithaupt, Eric Duffner, Alexander Ulbricht, Jens Prager, Katerina Krebber |
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Dokumenttyp: | Beitrag zu einem Tagungsband |
Veröffentlichungsform: | Graue Literatur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | Proceedings of the 11th European Workshop on Structural Health Monitoring |
Jahr der Erstveröffentlichung: | 2024 |
Organisationseinheit der BAM: | 3 Gefahrgutumschließungen; Energiespeicher |
3 Gefahrgutumschließungen; Energiespeicher / 3.5 Sicherheit von Gasspeichern | |
8 Zerstörungsfreie Prüfung | |
8 Zerstörungsfreie Prüfung / 8.4 Akustische und elektromagnetische Verfahren | |
8 Zerstörungsfreie Prüfung / 8.5 Röntgenbildgebung | |
8 Zerstörungsfreie Prüfung / 8.6 Faseroptische Sensorik | |
Veröffentlichende Institution: | Bundesanstalt für Materialforschung und -prüfung (BAM) |
Verlag: | NDT.net |
Erste Seite: | 1 |
Letzte Seite: | 7 |
Freie Schlagwörter: | Composites; Fiber optic sensors; Hydrogen; Machine learning; Structural health monitoring |
Themenfelder/Aktivitätsfelder der BAM: | Energie |
Energie / Wasserstoff | |
Veranstaltung: | 11th European Workshop on Structural Health Monitoring |
Veranstaltungsort: | Potsdam, Germany |
Beginndatum der Veranstaltung: | 10.06.2024 |
Enddatum der Veranstaltung: | 13.06.2024 |
URN: | urn:nbn:de:kobv:b43-602731 |
URL: | https://www.ndt.net/search/docs.php3?id=29701 |
Verfügbarkeit des Dokuments: | Datei für die Öffentlichkeit verfügbar ("Open Access") |
Lizenz (Deutsch): | Creative Commons - CC BY - Namensnennung 4.0 International |
Datum der Freischaltung: | 19.06.2024 |
Referierte Publikation: | Nein |
Schriftenreihen ohne Nummerierung: | Wissenschaftliche Artikel der BAM |