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Now showing items 31-40 of 54
Active flow control on airfoils by reinforcement learning
(Elsevier, 2023-11-05)
Active flow control is a widespread practice for airfoil aerodynamic performance enhancement. Within active flow control, reactive strategies are very effective, but the adequate design of these strategies is often complex. ...
CNN-based vane-type Vortex Generator modelling
(Taylor & Francis, 2024-01-05)
Computational Characterization Of The Vortex Generated By A Vortex Generator On A Flat Plate For Different Vane Angles
(Elsevier, 2017-06)
Vortex generators (VGs) are usually employed to improve the aerodynamic performance for both spatial or energy issues; such as aircrafts and wind turbine blades. These structures present poor aerodynamic performance in the ...
Flow control based 5 MW wind turbine enhanced energy production for hydrogen generation cost reduction
(2022-02-05)
Improving the performance and the production of renewable energy sources, especially the wind energy, is considered an attractive approach to reduce the Cost of Energy (COE) associated to the hydrogen generation process. ...
Numerical performance of CO2 accumulation and droplet dispersion from a cough inside a hospital lift under different ventilation strategies
(Nature, 2024)
The impact of mechanical ventilation on airborne diseases is not completely known. The recent pandemic of COVID-19 clearly showed that additional investigations are necessary. The use of computational tools is an advantage ...
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 ...
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 ...