Renewable energy sources i.e.,energy generated from solar, wind, biomass, hydro power, geothermal and ocean resources are considered as a technological option for generating clean energy. But the energy generated from solar and wind is much less than the production by fossil fuels, however, electricity generation by utilizing PV cells and wind turbine increased rapidly in recent years. This pap...

Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an...

This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized mode is subject to uncertainties. The uncertainties are generated in the process of linear...

One of the greatest challenges associated with wind power is the unpredictable character of the wind. Wind energy is one of the lowest-priced renewable energy technologies available today, costing between 4 and 6 cents per kilowatt-hour, depending upon the wind resource and project financing of the particular project. In our research, a design and modeling technique has been proposed to optimiz...

gas turbines play an important role in supplying power for the country especially in peak electricity load. the main disadvantages are the turbines, they produce large changes are a result of climate change. however, in times of peak electricity grid and at the same time warm months, can produce gas turbines under the effect of ambient temperature, the amount of reduced considerably. the method...

In the simultaneous heat and power integration approach with additional production the optimization problem is formulated using superstructure. Nonlinear programming (NLP) contains equations enabling structural and parametric optimization. In the present work the NLP model is formulated with the optimum energy target of the process integration and generation of electricity using a gas turbine. ...