Toggle Main Menu Toggle Search

Open Access padlockePrints

Evaluation of Free-Surface Exposure Effects on Tidal Turbine Performance Using CFD

Lookup NU author(s): Dr Weichao ShiORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 by the authors.Tidal turbines represent a promising renewable energy source, generating power from ocean currents. However, due to tidal range variations, they sometimes become partially exposed to the free surface. When this occurs, the turbine experiences reduced power generation and unsteady torque caused by the asymmetric flow. Such conditions can lead to long-term degradation of turbine performance and reliability. From this perspective, a key question arises regarding how significantly power generation differs when turbines are exposed to the free surface. This study was conducted with the objective of quantitatively evaluating the differences in power generation and torque acting on the turbine due to free-surface exposure, in order to address this question. Numerical simulations considering free-surface exposure effects were developed to quantitatively assess these phenomena through Computational Fluid Dynamics (CFD). Additionally, this numerical model was validated by comparison against experimental data and verified by convergence tests. The results revealed that the tidal turbine exhibited power generation differences ranging from a maximum of 45% to a minimum of 0.44%, depending on the degree of free-surface exposure. These findings are expected to serve as valuable indicators for power generation when operating tidal turbines.


Publication metadata

Author(s): Min G, Choi W, Yun H, Do Y, Kim K, Shi W, Dai S, Kim D, Song S

Publication type: Article

Publication status: Published

Journal: Journal of Marine Science and Engineering

Year: 2025

Volume: 13

Issue: 8

Online publication date: 19/08/2025

Acceptance date: 17/08/2025

Date deposited: 08/09/2025

ISSN (electronic): 2077-1312

Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

URL: https://doi.org/10.3390/jmse13081589

DOI: 10.3390/jmse13081589

Data Access Statement: The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
KAIA Research program
Ministry of Land, Infrastructure and Transport [Grant number: RS-2024-00401101].

Share