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Now showing items 71-80 of 92
Parametric study of low-profile vortex generators
(Elsevier, 2017-07-13)
Vortex generators (VGs) are flow control devices employed to avoid or delay flow separation. In most cases, the VG is calculated with the same height as the boundary layer (BL) thickness at the device position. However, ...
Performance enhancement of the artificial neural network– based reinforcement learning for wind turbine yaw control
(Wiley, 2019-11-03)
The yaw angle control of a wind turbine allows maximization of the power absorbed
from the wind and, thus, the increment of the system efficiency. Conventionally, classical
control algorithms have been used for the yaw ...
Variable Speed Wind Turbine Controller Adaptation By Reinforcement Learning
(ACM, 2016-12-30)
The control of Variable Speed Wind Turbines (VSWT) to achieve optimal balance of power generation stability and rotor angular speed is impeded by the non-linear dynamics of the turbine-wind interaction and sudden changes ...
Sizing a Battery Energy Storage System for Hybrid Renewable Power Plants Based on Optimal Market Participation Under Different Market Scenarios
(IEEE, 2022-07-08)
This article presents a method for selecting
the best battery sizing based on an optimal market
participation strategy in a hybrid renewable power
plant. The proposed formulation consid-ers different
scenarios to ensure ...
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
(MDPI, 2023-07-18)
Alzheimer’s is a neurodegenerative disorder affecting the central nervous system and cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition, the affected individual’s cognitive abilities ...
Systematic modeling of photovoltaic modules based on artificial neural networks
(Elsevier, 2016-06-03)
Using accurate models of photovoltaic modules is of major importance to make realistic simulations of these systems in order to study their elements for a better performance. In this paper we address the problem of the ...
Computational Modeling of a 2D Vanadium Redox Flow Battery Cell
(Springer Nature, 2024-01)
These days, the implementation of sustainable power generation has led to a
difference in propensity in the energy creation and capacity frameworks,
compelling them to conquer the hardships that it addresses. Considering ...
Vanadium Redox Flow Batteries: A Review Oriented to Fluid-Dynamic Optimization
(MDPI, 2020-12-31)
Large-scale energy storage systems (ESS) are nowadays growing in popularity due to the increase in the energy production by renewable energy sources, which in general have a random intermittent nature. Currently, several ...
Delamination Fracture Behavior of Unidirectional Carbon Reinforced Composites Applied to Wind Turbine Blades
(MDPI, 2021-01-27)
One of the materials that is used widely for wind turbine blade manufacturing are fiber-reinforced composites. Although glass fiber reinforcement is the most used in wind turbine blades, the use of carbon fiber allows ...
Computational Methods for Modelling and Optimization of Flow Control Devices
(MDPI, 2020-07-19)
Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set ...