Computationally efficient spectral-domain wave-to-wire modeling of wave energy converters with geared rotary generators

Wave-to-Wire (W2W) modeling simulates the whole operation process of wave energy converters (WECs), which plays a pivotal role in the systematic design and optimization of WECs. Existing W2W models are predominantly constructed based on time-domain (TD) analysis to coherently incorporate relevant nonlinearities. However, TD models require a high computational cost, which hinders the design iterations of WECs. As a newly emerging alternative approach, spectral-domain (SD) modeling has demonstrated the applicability of describing the W2W process while efficiently covering nonlinear effects through statistical linearization. This study aims to develop an SD W2W modeling approach for WECs coupled with a gearbox and rotary generator. The application of the proposed model is exemplified in two case studies: (1) a point absorber with a rack-pinion system and a rotary generator; (2) a flap-type WEC with a revolving gearbox and a rotary generator. The simulation results obtained by the SD W2W model are compared against a higher-fidelity nonlinear TD W2W model to verify its accuracy across a variety of sea states. A good agreement between the two modeling approaches is observed, in which the maximum relative error is below 7 % with regard to the estimation of important system outputs. Meanwhile, the computational efficiency of the SD W2W model is thousands of times higher than the TD modeling approach. • The spectral-domain modeling can be used to simulate the wave-to-wire process of wave energy converters with geared generators. • The extended spectral-domain modeling is much more efficient manner than time-domain approaches. • The extended statistical linearization maintains adequate accuracy in operational regions.

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Publication Details

Journal
Applied Ocean Research
Published
2026-03-26
DOI
https://doi.org/10.1016/j.apor.2026.105028
Primary Topic
Wave and Wind Energy Systems
Type
article
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article

Computationally efficient spectral-domain wave-to-wire modeling of wave energy converters with geared rotary generators

Ji Tao, Wei Tao, George Lavidas, Chen Xi et al.
Applied Ocean Research
Wave and Wind Energy Systems
article

Computationally efficient spectral-domain wave-to-wire modeling of wave energy converters with geared rotary generators

Ji Tao, Wei Tao, George Lavidas, Chen Xi, Hongda Shi, Jian Tan
article en

Abstract

Wave-to-Wire (W2W) modeling simulates the whole operation process of wave energy converters (WECs), which plays a pivotal role in the systematic design and optimization of WECs. Existing W2W models are predominantly constructed based on time-domain (TD) analysis to coherently incorporate relevant nonlinearities. However, TD models require a high computational cost, which hinders the design iterations of WECs. As a newly emerging alternative approach, spectral-domain (SD) modeling has demonstrated the applicability of describing the W2W process while efficiently covering nonlinear effects through statistical linearization. This study aims to develop an SD W2W modeling approach for WECs coupled with a gearbox and rotary generator. The application of the proposed model is exemplified in two case studies: (1) a point absorber with a rack-pinion system and a rotary generator; (2) a flap-type WEC with a revolving gearbox and a rotary generator. The simulation results obtained by the SD W2W model are compared against a higher-fidelity nonlinear TD W2W model to verify its accuracy across a variety of sea states. A good agreement between the two modeling approaches is observed, in which the maximum relative error is below 7 % with regard to the estimation of important system outputs. Meanwhile, the computational efficiency of the SD W2W model is thousands of times higher than the TD modeling approach. • The spectral-domain modeling can be used to simulate the wave-to-wire process of wave energy converters with geared generators. • The extended spectral-domain modeling is much more efficient manner than time-domain approaches. • The extended statistical linearization maintains adequate accuracy in operational regions.

Applied Ocean ResearchVol. 170
Wuhan Polytechnic University (CN), Zhejiang Ocean University (CN), Ocean University of China (CN), Zhejiang University (CN), Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 7%
Wave and Wind Energy Systems
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