This article proposes a Blade Element Momentum (BEM) theory based model applied to
dual rotors wind turbines. Dual rotor wind turbines studied consist of two rotors mounted …

The ever-growing field of medical diagnostics is witnessing a paradigm shift with the
integration of quantum computing and deep neural networks (DNN). This paper presents a …

With the development of wind resources under flat terrain, wind farms in extreme wind
conditions are developed, and the size of the WT's rigid-flexible coupling components …

Reduction of wind turbines down times is paramount in wind energy develop-ment and cost
effectiveness. Such reductions require early fault detection and more importantly, a …

Aerodynamic performance of aircraft wings vary with flight path conditions and depend on
efficiency of high lift systems. In this work, a study on high lift devices and mechanisms that …

In large-scale wind turbines, the force state of the pitch system greatly influences safe
operation and service life. This paper provides a novel method to estimate blade pitch load …

Wind turbine blades are adjusted in real-time according to the wind conditions and blade
deformations to improve power generation efficiency. It is necessary to predict and reduce …

Atmospheric turbulence is an unsteady phenomenon found in nature and plays significance
role in predicting natural events and life prediction of structures. In this work, turbulence in …

In this work, aerodynamic modelling of HAWT rotors and energy yield prediction using
power curve are studied. The influence of wake losses and rotor solidity on the performance …

The growing popularity of electric vehicles (EVs) is anticipated to play a pivotal role in
mitigating urban air pollution, a critical concern for public health and environmental …