DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade

J Xu, L Wang, J Yuan, Z Luo, Z Wang, B Zhang… - Renewable Energy, 2024 - Elsevier
Horizontal axis tidal turbines (HATT) conversion of ocean tidal waves into electricity
represents a promising source of clean and sustainable energy. However, the widespread …

Status and Challenges of Marine Current Turbines: A Global Review

Y Gu, T Zou, H Liu, Y Lin, H Ren, Q Li - Journal of Marine Science and …, 2024 - mdpi.com
Over the past few decades, marine current energy utilization has transitioned from
conceptual demonstrations to industrial-scale prototypes. This progression now approaches …

[HTML][HTML] Structural optimization design of dual robot gripper unloading device based on intelligent optimization algorithms and generative design

J Jia, X Sun, T Liu, J Tang, J Wang, X Hu - Sensors, 2023 - mdpi.com
The main aim of this paper is to explore new approaches to structural design and to solve
the problem of lightweight design of structures involving multivariable and multi-objectives …

TurbineNet/FEM: Revolutionizing fluid-structure interaction analysis for efficient harvesting of tidal energy

J Xu, L Wang, J Yuan, Y Fu, Z Wang, B Zhang… - Energy Conversion and …, 2024 - Elsevier
Horizontal axis tidal turbines (HATT) are promising candidates for hydroelectric power
extraction in coastal urban applications. Currently, concerns around the fluid–structure …

A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements

Z Luo, L Wang, J Xu, Z Wang, J Yuan, ACC Tan - Energy, 2024 - Elsevier
A comprehensive understanding of wind turbine wake characteristics is vital, particularly in
the context of expanding large offshore wind farms. Existing wake measurement techniques …

Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades

J Xu, L Wang, Z Luo, Z Wang, B Zhang, J Yuan… - Energy, 2024 - Elsevier
A precise and cost-effective prediction tool for fluid-structure interaction (FSI) analysis is
crucial for optimizing the structural design of tidal turbine blades. However, the high …

A deep learning approach for hydrofoil optimization of tidal turbines

C Li, B Liang, P Yuan, Q Zhang, J Tan, X Si, Y Liu - Ocean Engineering, 2024 - Elsevier
Hydrofoil optimization plays a crucial role in improving the hydrodynamic performance of
tidal turbines. However, the high-dimensional representations in hydrofoil design space …

Tidal turbine blade design optimization based on coupled deep learning and blade element momentum theory

C Li, B Liang, P Yuan, B Liu, M Zhao, Q Zhang… - Physics of …, 2024 - pubs.aip.org
The practical design optimization of blade structures is crucial for enhancing the power
capture capability of tidal turbines. However, the significant computational costs required for …

A novel generative approach to the parametric design and multi-objective optimization of horizontal axis tidal turbines

T Xia, L Wang, J Xu, J Yuan, Y Fu, Z Luo, Z Wang - Physics of Fluids, 2024 - pubs.aip.org
As the demand for ocean energy continues to grow, the development of efficient design and
optimization methods for tidal current turbines is crucial. Traditional approaches, often based …

A novel generative–predictive data-driven approach for multi-objective optimization of horizontal axis tidal turbine

T Xia, L Wang, J Xu, J Yuan, Z Luo, Z Wang - Physics of Fluids, 2024 - pubs.aip.org
Tidal turbines play a critical role in converting the kinetic energy of water into electricity,
contributing significantly to energy conversion. However, the current optimization design of …