الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Several countries around the world realized the necessity of generating electricity from renewable resources, but reliability and economic feasibility of these resources needs detailed investigations. An energy mix which incorporates renewable energy is essential, yet providing sustainability, security, and competitiveness for an energy mix is a challenge.
This thesis presents an application of Geographic Information System to build a suitability model for the evaluation of renewable energy microgrid locations in Egypt. The proposed methodology exploits the extensive capabilities of GIS software in analyzing several forms of database especially maps. Throughout this work, the data collection process spans several data sources to identify the availability and geographic distribution of renewable energy resources specially wind and solar. A Geo-Energy summation is applied to combine these resources to generate a Wind-Solar Atlas of Egypt. The produced atlas is a raster dataset which allocates the highly recommended areas to invest in renewable energy in Egypt.
The main objective is to maximize the overall renewable generation capability while satisfying technical economic, and environment constraints. Applying specific constraints to the Microgrid planning have been presented in the form of data layering and a sequential filtering procedure was utilized to eliminate unsuitable sites. The main constraints for Microgrid site selection applied to this work are availability of renewable energy resources, distance from national electricity grid, access to transportation networks, land height, slope, urban areas, protected areas, environmental resources, etc.
GIS technology and Multi Criteria Decision Making (MCDM) approach was utilized to convert these criteria into factors and limitation layers. Various scenarios for renewable-based microgrid site selection have been explored, the selection is directly related to the properness of the weights given to the parameters.