A parameter optimisation design method for counter-rotating vertical axis wind turbines based on CFD and machine learning

Performance assessment of hybrid vertical axis wind turbines and the layout of wind farms

Optimizing Urban and Industrial Vertical-Axis Wind Energy Systems: Aerodynamic Performance and Structural Reliability of a Darrieus H-Rotor Wind Turbine

This paper aims to design and optimize a new type of Darrieus H-Rotor VAWT, specifically adapted to the conditions of urban and industrial environments, as a contribution to energy transition and the search for new sustainable solutions for decentralized electricity generation. It is designed to be a strong and efficie...

Optimization of Wind Power Generation in Ambon City Using the Queen Honey Bee Migration (QHBM) Method

The increasing demand for sustainable electricity generation highlights the importance of efficient wind power optimization, particularly in island regions with variable wind resources such as Ambon City, Indonesia. This study proposes an intelligent optimization framework based on the Queen Honey Bee Migration (QHBM)...

Adaptive Metaheuristic Optimization and Numerical Modeling for Robust Control of DFIG Wind Turbines Under Stochastic Wind and Grid Disturbances

Reliable integration of wind energy into modern power grids requires control strategies capable of maintaining stable operation under stochastic wind conditions and grid-side disturbances. This paper presents an adaptive metaheuristic optimization and numerical modeling framework for robust multi-scenario tuning of pro...

Offshore Wind Resource Assessment and Wind Farm Optimization Using Machine Learning and CFD Modelling

This study presents an integrated framework for offshore wind resource assessment and wind farm micrositing in the Northern Aegean Sea of Türkiye by combining machine learning-assisted measure–correlate–predict (MCP) modelling, long-term reanalysis data and computational fluid dynamics (CFD). One year of measurements f...

Adaptive predictive control for wind energy efficiency in real-time in smart grids

With the increasing global interest in renewable energy, advanced control strategies for wind energy conversion systems (WECSs) are critical for achieving not only maximum efficiency but also grid compatibility. This paper introduces a new adaptive, forecast-based predictive control algorithm to maximize the real-time...