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Application of dynamic mode decomposition in floating offshore renewable energy systems: Nonlinear prediction, denoise and control separation

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  • Wang, Tianyuan
  • Li, Demin
  • Zhu, Kai
  • Cao, Feifei
  • Greaves, Deborah
  • Hann, Martyn
  • Shi, Hongda

Abstract

Predicting state responses of wave energy converters (WECs) with nonlinearity, noise or control effect has always been challenging in wave energy field. To resolve this issue, a data-driven reduced-order model (ROM), dynamic mode decomposition (DMD), is introduced in this study to identify the dominate dynamic characteristics underlying the floating energy systems and predict their future state behaviours. Three typical floating systems are chosen for analysis, including a physical model of a hexagonal floating structure (HFS) and numerical models of the reference model 3 (RM3) and the IEA-15-MW-VolturnUS-WEC hybrid system. The complex nonlinear wave-structure interaction (WSI), multi-body coupling and/or multi-source environmental inputs in real operating conditions are well considered. Relying only on past measurements, this study highlights excellent reconstruction and prediction performance of augmented Hankel-DMD variants with and without control in data denoising and control separation. The findings provide insights into the development of predictive control strategies for WECs and the processing of noisy sensor measurements.

Suggested Citation

  • Wang, Tianyuan & Li, Demin & Zhu, Kai & Cao, Feifei & Greaves, Deborah & Hann, Martyn & Shi, Hongda, 2025. "Application of dynamic mode decomposition in floating offshore renewable energy systems: Nonlinear prediction, denoise and control separation," Energy, Elsevier, vol. 341(C).
    • Handle: RePEc:eee:energy:v:341:y:2025:i:c:s0360544225049126
    DOI: 10.1016/j.energy.2025.139270
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    References listed on IDEAS

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    1. Wang, Tianyuan & Zhu, Kai & Cao, Feifei & Li, Demin & Gong, Haoxiang & Li, Yanni & Shi, Hongda, 2024. "A coupling framework between OpenFAST and WEC-Sim. Part I: Validation and dynamic response analysis of IEA-15-MW-UMaine FOWT," Renewable Energy, Elsevier, vol. 225(C).
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