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العنوان
Spatial modeling for the optimum site selection of solar photovoltaics power plant in the northwest coast of Egypt /
الناشر
Shaimaa Magdy Shawky Ahmed Habib ,
المؤلف
Shaimaa Magdy Shawky Ahmed Habib
هيئة الاعداد
باحث / Shaimaa Magdy Shawky Ahmed Habib
مشرف / Ahmed Elraie Emam Suliman
مشرف / Eid Nasr Eldin Abdelrahman
مشرف / Alaa Eldin Hassan Elnahry
تاريخ النشر
2020
عدد الصفحات
115 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
علم البيئة ، التطور والسلوك وعلم التصنيف
تاريخ الإجازة
15/6/2020
مكان الإجازة
جامعة القاهرة - كلية الزراعة - Agricultural Engineering
الفهرس
Only 14 pages are availabe for public view

from 165

from 165

Abstract

The unbalanced distribution of the Egyptian population causes serious social and economic problems. So, redistributing population density to fully utilize the uninhabited areas like desert regions is very critical. This issue requires discovering renewable energy and water resources, to achieve an optimal goal of the sustainable national strategy. Besides, Egyptian strategies are currently devoted to support the development and implementation of renewable energy technologies. Solar production could help to provide safe energy for conserving the environment and proceed with sustainable development policies.One of the most important and outstanding factors in building a solar power plant is the selection of the optimum site, which is considered the first stage to develop a solar energy industry.Therefore, this study aims to select the most suitable locations for establishing the solar photovoltaic (PV) power plants considering the techno-economic and environmental conditions, assuring the maximum power achievement with minimizing project cost.To achieve this, the integration of Geographic Information System (GIS) tools, Remote Sensing technology (RS) with the Multi-Criteria Decision Making (MCDM) technique was performed. Among MCDM techniques, the Analytic Hierarchy Process (AHP) method has been used to determine the weights of the multi-criteria (techno-economic and environmental) through pairwise comparisons, as a more suitable tool to solve site selection problems. The obtained results showed that the entire region’s surface receives a large amount of radiation, as the maximum and the minimum values of solar radiation for 2018 were 5.9-4.7 kWh/m2/day, respectively