2024-10-09 ノースカロライナ州立大学(NCState)
Photo credit: Tim Marshall.
＜関連情報＞
- https://news.ncsu.edu/2024/10/boosting-ocean-energy-projects/
- https://www.sciencedirect.com/science/article/abs/pii/S014111872400364X
海洋水力発電装置の係留システムの脆弱性曲線推定のためのベイズモデリングと力学的シミュレーション Bayesian modeling and mechanical simulations for fragility curve estimation of the mooring system of marine hydrokinetic devices
Victor Augusto Durães de Faria, Neda Jamaleddin, Anderson Rodrigo de Queiroz, Mohammed Gabr
Applied Ocean Research Available online: 28 September 2024
DOI:https://doi.org/10.1016/j.apor.2024.104243
Highlights
- Bayesian models are used to estimate the statistics of extreme ocean current events.
- Ansys-AQWA software is used to perform mooring system simulation designs for the RM4 current turbine.
- A method to estimate probability of damage to mooring systems is created for ocean current devices.
- An assessment of the influence of extreme wind speeds on ocean current statistics is performed.
- A statistical analysis is made using ADCP, and wind speed measurements from the NC coast.
Abstract
This work uses Bayesian modeling and mechanical model simulations through the Ansys-AQWA software to construct fragility curve estimates for marine hydrokinetic devices, more specifically, their mooring system. The fragility curves proposed here associate wind speed levels with the risk of damage to the equipment and could be used to better understand the susceptibility of these devices to damage from hurricanes. Our proposed modeling framework uses acoustic Doppler current profiler measurements from a site located off the North Carolina coast and the RM4 conversion device from the Sandia National Laboratory. By evaluating different scenarios with and without dynamic tension in mooring lines due to changes in current velocities caused by extreme wind speeds, our results indicate that the risks of damage may be significant depending not only on the average current velocity but also on the velocity variation.
