الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
The generation of significant amounts of electricity from wind energy on a national scale is feasible with wind turbines arranged in clusters or arrays known as wind farms or wind parks. Grouping wind turbines together in this way permits much larger amounts of energy to be produced from a given site. This has economic advantages as well as a benefit in connection with operation and maintenance of the plant. The economy and operability of a wind farm relies mainly on the available wind potential, the wind turbines power performance and wind turbine arrangement. Analysis and assessment of the wind farm performance is often required in a contract between developers, financiers, and manufacturers. This work presents methodology for the analysis and assessment of wind farm performance. The presented analysis investigates the effect of site topography, ambient temperature, and turbine separating distance on the wind farm performance. Therefore, the principles of wind energy conversion were briefly outlined. Based on these principles, a computer program for predicting and analysing wind farm performance WFPA (Wind Farm Performance Analysis) is designed. The data of the first phase of Danish project wind farm (DPWFI) installed at El-Zafarana zone on the coast of Suez Golf was used as an example for the numerical simulation of this study. Validity of the program was checked by comparing its prediction with WASP prediction and recorded data of the DPWFI. It was found that the ambient temperature has a significant effect on the output power and the annual energy production AEP is reduced by about 15% when the temperature increases from 5°C to 45°C. On the other hand, the increased awareness that the available suitable sites that have high wind energy source are limited and the high cost of installing wind farms are two strong impetus to exploit the maximum possible amount of wind power potential in the available suitable sites. This can be achieved by installing the maximum number of turbines with optimum distribution in the candidate site. Although, several wind farms projects have been installed in almost fifty countries around the world by different authorities, there is no clear method for the optimum distribution of turbines in a wind farm. Therefore, the main goal of this work was to present a systematic method for the most efficient distribution of wind turbines inside a wind farm.