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Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia

机译:基于GIS-AHP的太阳能光伏电站选址及其在沙特阿拉伯的应用

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摘要

Site selection for solar power plants is a critical issue for utility-size projects due to the significance of weather factors, proximity to facilities, and the presence of environmental protected areas. The primary goal of this research is to evaluate and select the best location for utility-scale solar PV projects using geographical information systems (GIS) and a multi-criteria decision-making (MCDM) technique. The model considers different aspects, such as economic and technical factors, with the goal of assuring maximum power achievement while minimizing project cost. An analytical hierarchy process (AHP) is applied to weigh the criteria and compute a land suitability index (LSI) to evaluate potential sites. The LSI model groups sites into five categories: "least suitable," "marginally suitable," "moderately suitable," "highly suitable" and "most suitable." A case study for Saudi Arabia is provided. Real climatology and legislation data, such as roads, mountains, and protected areas, are utilized in the model. The solar analyst tool in ArcGIS software is employed to calculate the solar insolation across the entire study area using actual atmospheric parameters. The air temperature map was created from real dispersed monitoring sensors across Saudi Arabia using interpolation. The overlaid result map showed that 16% (300,000 km(2)) of the study area is promising and suitable for deploying utility-size PV power plants while the most suitable areas to be in the north and northwest of the Saudi Arabia. It has been found that suitable lands are following the pattern of the approximate range of the proximity to main roads, transmission lines, and urban cities. More than 80% of the suitable areas had a moderate to high LSI. The integration of the GIS with MCDM methods has emerged as a highly useful technique to systematically deal with rich geographical information data and vast area as well as manipulate criteria importance towards introducing the best sites for solar power plants.
机译:由于天气因素的重要性,与设施的距离以及环境保护区的存在,太阳能发电厂的选址对于公用事业规模的项目来说是一个关键问题。这项研究的主要目的是使用地理信息系统(GIS)和多准则决策(MCDM)技术为公用事业规模的太阳能光伏项目评估和选择最佳位置。该模型考虑了不同方面,例如经济和技术因素,目的是确保最大程度地实现用电,同时将项目成本降至最低。应用层次分析法(AHP)衡量标准并计算土地适宜性指数(LSI)以评估潜在地点。 LSI模型将站点分为五类:“最不适合”,“勉强适合”,“中等适合”,“高度适合”和“最适合”。提供了一个针对沙特阿拉伯的案例研究。该模型利用了真实的气候和法律数据,例如道路,山脉和保护区。利用ArcGIS软件中的太阳能分析器工具,使用实际的大气参数来计算整个研究区域的日照量。空气温度图是使用插值法根据整个沙特阿拉伯的实际分散监测传感器创建的。覆盖的结果图显示,研究区域的16%(300,000 km(2))是有希望的,并且适合部署公用事业规模的光伏电站,而最合适的区域位于沙特阿拉伯的北部和西北部。已经发现合适的土地遵循与主要道路,传输线和城市城市接近的近似范围的模式。超过80%的合适区域具有中等到较高的LSI。 GIS与MCDM方法的集成已成为一种非常有用的技术,可以系统地处理丰富的地理信息数据和广阔的区域,并操纵标准的重要性,以引入最佳的太阳能发电厂。

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