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Geospatial modeling for selection of optimum sites for hybrid solar-wind energy in Assiut Governorate, Egypt
The Egyptian Journal of Remote Sensing and Space Sciences ( IF 6.393 ) Pub Date : 2022-04-09 , DOI: 10.1016/j.ejrs.2022.03.005
Hala A. Effat 1 , Ahmed M. El-Zeiny 1
Affiliation  

Renewable energy resources are strategic solutions to develop remote urban areas, provide accessibility, meet the growing energy needs, prevent and mitigate adverse environmental impacts of anthropogenic activities. The purpose of the current research paper is to map and designate optimal sites for locating new hybrid solar and wind farms that fulfill suitability criteria for photovoltaic power plants and wind power in Assiut Governorate. SRTM digital elevation model was processed using the ESRI ArcGIS Area solar radiation tool to estimate and map insolation across the landscape on the topographic surface. Same data (SRTM DEM) was used together with the average wind speed map at elevation 50 m to calculate the wind power density. A geospatial model was designed based on three criteria sets covering three themes: first energy resource (climate and topography), second least cost (infrastructure and third, environmental constraints. The Analytic Hierarchy Process, Weighted Linear Combination and Binary overlay methods were applied, resulting in three sub-models. Such were further combined to produce the solar radiation and the wind power suitability indices separately. The solar radiation index values were reclassified; zones with a minimum threshold of 4 kw/m2/day were selected. From such zones, twenty optimum solar sites were selected based on a minimum area threshold. To identify potential wind zones, a minimum of wind power density equivalent to 220 W/m2 was considered. Results reveal that six potential solar sites exist within the potential wind energy zones; such sites were finally selected as candidates for allocation of hybrid solar-wind power stations.



中文翻译:

用于选择埃及 Assiut 省混合太阳能-风能最佳地点的地理空间建​​模

可再生能源是开发偏远城市地区、提供可及性、满足不断增长的能源需求、预防和减轻人为活动对环境的不利影响的战略解决方案。本研究论文的目的是绘制和指定最佳地点,以定位新的混合太阳能和风电场,以满足 Assiut 省光伏电站和风力发电的适用性标准。SRTM 数字高程模型使用 ESRI ArcGIS Area 太阳辐射工具进行处理,以估计和映射地形表面上的景观日照。相同数据(SRTM DEM)与海拔50 m处的平均风速图一起用于计算风能密度。地理空间模型的设计基于涵盖三个主题的三个标准集:2 /天被选中。从这些区域中,根据最小面积阈值选择了 20 个最佳太阳能站点。为了识别潜在的风区,考虑了相当于 220 W/m 2的最小风能密度。结果表明,潜在的风能区内存在六个潜在的太阳能站点;这些地点最终被选为配置太阳能-风能混合电站的候选地点。

更新日期:2022-04-09
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