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Now showing items 11-20 of 20
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, ...
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 ...
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 ...
Energy and thermal modelling of an office building to develop an artificial neural networks model
(Nature, 2022)
[EN] Nowadays everyone should be aware of the importance of reducing CO2 emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) ...
Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique
(MDPI, 2023-12-18)
Physical models are suitable for the development and optimization of materials and cell designs, whereas models based on experimental data and electrical equivalent circuits (EECs) are suitable for the development of ...
Novel control algorithm for MPPT with Boost converters in photovoltaic systems
(Elsevier, 2017-07)
The great advances in efficiency and performance of photovoltaic modules would not be very useful if they do not work close to their maximum power point (MPP). In this paper a novel Sliding Mode Control (SMC) based algorithm ...