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

Journal Article (2026)
Author(s)

Jian Tan (TU Delft - Offshore Engineering)

Ji Tao (Ocean University of China)

Wei Tao (Wuhan Polytechnic University)

Chen Xi (TU Delft - Offshore Engineering, Zhejiang University - Zhoushan )

George Lavidas (TU Delft - Offshore Engineering)

Hongda Shi (Ocean University of China)

DOI related publication
https://doi.org/10.1016/j.apor.2026.105028 Final published version
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Publication Year
2026
Language
English
Journal title
Applied Ocean Research
Volume number
170
Article number
105028
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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.