One variety of wheat in the breeding process was chosen to determine the wheat morphological traits and biomechanical properties. ANSYS was used to build the mechanical model of wheat to wind load and the dynamic response of wheat to wind load was simulated. The maximum Von Mises stress is obtained by the powerful calculation function of ANSYS. And the changing stress and displacement of each n...

the growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselectricity production in the future. in this thesis, we study follows to long-term generationscheduling of power systems in the pre...

In the past, wind towers were applied as the main architectural part of building construction in the desert areas of Iran. These almost high structures were used as cooling load suppliers at residential buildings. In the present study, the effect of symmetric four-sided wind tower in flow induction to the bottom space has been analysed by using a wind tunnel and numerical simulations. In the nu...

Electrical power production is the main target required from wind turbines. This paper describes an approach for wind turbine controller as a vital part of the turbine, where this controller is based on Artificial Neural Network technique and a control scheme has been applied and validated by detailed simulation in MATLAB 6.5/Simulink. The proposed controller enhances the reactive power affecte...

The small wind turbines for residential uses are multivariable processes that work under turbulent wind conditions and abrupt electrical load changes. In these processes, it is necessary to apply a complex control system that allows a good performance on the power production. For this aim, in this paper, a multivariable centralized control by decoupling is presented to control the wind turbine,...

As renewable energy increasingly integrates into the electric power system, electric load forecasting and renewable energy power generation forecasting become more important. In this project, ARIMA and NARX are applied to build load forecasting model focusing on improving statistical and computational efficiency without losing accuracy. ARIMA turns out to be better for short term forecasting wh...