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Now showing items 21-24 of 24
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 ...
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 ...