The paper proposes a novel cost-effective framework that combines deep learning
convolutional neural network (CNN) and blade element momentum (BEM) models for …

Hydrofoils play a crucial role in enhancing the efficiency of fluid machinery designed for
ocean environments, reducing lift-induced drag and contributing to improved overall …

Complete and clear global wind turbine wake data is very important for the study of wind
turbine wake characteristics in increasingly large offshore wind farms. Existing wake …

Horizontal axis tidal turbines (HATT) are promising candidates for hydroelectric power
extraction in coastal urban applications. Currently, concerns around the fluid–structure …

Horizontal axis tidal turbines (HATT) conversion of ocean tidal waves into electricity
represents a promising source of clean and sustainable energy. However, the widespread …

Earthquakes present a significant risk to marine and underwater structures such as
seawalls, piers, dolphins, breakwaters, buried pipelines, and sheet-piled constructions …

Hybrid generation and energy storage systems can enhance asset flexibility, enabling
various services and optimizing financial performance. From a generation asset owner …

A comprehensive understanding of wind turbine wake characteristics is vital, particularly in
the context of expanding large offshore wind farms. Existing wake measurement techniques …

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 …

Coke dry quenching is a promising technology for energy saving and environmental
protection in the industrial sectors. Prediction of system efficiency index (SEI) and dynamic …