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Monitoring the condition of Marine Renewable Energy Devices through underwater Acoustic Emissions: Case study of a Wave Energy Converter in Falmouth Bay, UK

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  • Walsh, Jodi
  • Bashir, Imran
  • Garrett, Joanne K.
  • Thies, Philipp R.
  • Blondel, Philippe
  • Johanning, Lars

Abstract

Maintaining the engineering health of Marine Renewable Energy Devices (MREDs) is one of the main limits to their economic viability, because of the requirement for costly marine interventions in challenging conditions. Acoustic Emission (AE) condition monitoring is routinely and successfully used for land-based devices, and this paper shows how it can be used underwater. We review the acoustic signatures expected from operation and likely failure modes of MREDs, providing a basis for a generic classification system. This is illustrated with a Wave Energy Converter tested at Falmouth Bay (UK), monitored for 2 years. Underwater noise levels have been measured between 10 Hz and 32 kHz throughout this time, covering operational and inactive periods. Broadband MRED contributions to ambient noise are generally negligible. Time-frequency analyses are used to detect acoustic signatures (60 Hz–5 kHz) of specific operational activities, such as the active Power Take Off, and relate them to engineering and environmental conditions. These first results demonstrate the feasibility of using underwater Acoustic Emissions to monitor the health and performance of MREDs.

Suggested Citation

  • Walsh, Jodi & Bashir, Imran & Garrett, Joanne K. & Thies, Philipp R. & Blondel, Philippe & Johanning, Lars, 2017. "Monitoring the condition of Marine Renewable Energy Devices through underwater Acoustic Emissions: Case study of a Wave Energy Converter in Falmouth Bay, UK," Renewable Energy, Elsevier, vol. 102(PA), pages 205-213.
    • Handle: RePEc:eee:renene:v:102:y:2017:i:pa:p:205-213
    DOI: 10.1016/j.renene.2016.10.049
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    1. Kalle Haikonen & Jan Sundberg & Mats Leijon, 2013. "Characteristics of the Operational Noise from Full Scale Wave Energy Converters in the Lysekil Project: Estimation of Potential Environmental Impacts," Energies, MDPI, vol. 6(5), pages 1-21, May.
    2. O'Connor, M. & Lewis, T. & Dalton, G., 2013. "Weather window analysis of Irish west coast wave data with relevance to operations & maintenance of marine renewables," Renewable Energy, Elsevier, vol. 52(C), pages 57-66.
    3. García Márquez, Fausto Pedro & Tobias, Andrew Mark & Pinar Pérez, Jesús María & Papaelias, Mayorkinos, 2012. "Condition monitoring of wind turbines: Techniques and methods," Renewable Energy, Elsevier, vol. 46(C), pages 169-178.
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    1. Carrelhas, A.A.D. & Gato, L.M.C. & Morais, F.J.F., 2024. "Aerodynamic performance and noise emission of different geometries of Wells turbines under design and off-design conditions," Renewable Energy, Elsevier, vol. 220(C).
    2. Gang Li & Weidong Zhu, 2022. "A Review on Up-to-Date Gearbox Technologies and Maintenance of Tidal Current Energy Converters," Energies, MDPI, vol. 15(23), pages 1-24, December.

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