Ehab Hussein Bani-Hani

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System and environmental parameters affecting the output of the wind farm system at different stations in Jordan have been computationally investigated, using artificial neural network (ANN). For the several variables identified, statistical analysis was employed to indicate their relative significance to the targeted output, with the aid of the Pearson’s(More)
This paper shows a few novel calculations for wind speed estimation, which is focused around soft computing. The inputs of to the estimators are picked as the wind turbine power coefficient, rotational rate and blade pitch angle. Polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) technique to(More)
The aim of this work is to show the application of computer software to solve complicated real life engineering problems. The software used is MATLAB where a code is written after the theoretical derivation of the governing equations. The application of MATLAB is on mechanical engineering fluid mechanics unit. The application is for the selection of the(More)
The rotor design procedure of wind turbines starts first with adopting a rated output power and a rated wind speed. There is lack of modelling to determine an optimized rated wind speed and no evidences are observed to suggest the best rated wind speed to produce maximum output power annually. For example in the market of small wind turbines, it is(More)
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