الفهرس | Only 14 pages are availabe for public view |
Abstract During the past few years, Egypt has increased the share of electricity generation from Renewable Energy (RE) sources to achieve its ambitious RE strategy. The Egyptian Ministry of Electricity and Renewable Energy has set an ambitious target to increase the share of renewable energy among the total energy mix to be 20 % by 2022, and 42 % by 2035. This target will be achieved using several approved policies such as Feed-In Tariff, Build Own Operate (BOO) and Independent Power Producers under Merchant Scheme. This thesis presents a full technical analysis of wind potential characteristics at Elkharga Oasis at the western desert and Elqueser at the eastern desert of Egypt. The technical assessment is based on an actual wind measurement campaign taken by two met masts at two height levels 10 m and 24.5 m respectively. In ElKharga mast the measurements show annual average wind speed of 5.72 m/s at 10m height and 6.53 m/s over 25 m height. However, in Elqueser mast, the measurements show annual average wind speed of 3.5 m/s at 10m height and 5.6 m/s over 25 m height. The measured wind speeds for both sites are extrapolated vertically in order to estimate the wind speed at the turbine hub height. For modern wind turbines with larger rotor diameters and taller towers, the wind turbine hub height is assumed to be 120 m height for both sites. The annual average wind speed at the wind turbine hub height is estimated for both sites which gives 8.38 m/s at ElKharga and 7.3 m/s at Elqueser. The hub height wind speed shows the technical viability which to generate electricity from wind energy at both areas. In this thesis, the wind potential at the area is assessed using statistical methods of Weibull probability density function. Various methods to estimate the Weibull distribution parameters is presented and the relevant accuracy of each method is tested based on the Root Mean Square error (RMSE). A techno economic assessment and selecting the optimal wind turbine size with ideal micro-sitting are performed using an international software package WindPRO. various case studies using three typical wind turbine models with different rotor diameters, power capacity and layout configuration are assessed at both sites. The selection of the most convenient wind turbine is determined based on the IEC 61400 standard criteria and the turbine that produce less Levelized Cost of Electricity (LCOE) and higher Internal Rate of Return (IRR) and higher Net Present Value (NPV). |