Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius
Multi-criteria GIS-based modelling technique for identifying potential solar farm sites: A case study in Mauritius
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DOI：
10.1016/j.renene.2018.08.105
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发表时间：
2019-04-01
期刊：
影响因子：
8.7
通讯作者：
Boojhawon, Ravindra
中科院分区：
文献类型：
--
作者：
Doorga, Jay R. S.;Rughooputh, Soonil D. D. V.;Boojhawon, Ravindra
为公用事业规模的太阳能发电厂确定经济上可行和高效的战略位置是一项昂贵的程序，这取决于几个因素。从法律、社会、技术、经济、环境和文化的角度，运用地理信息系统(GIS)分析和多准则决策(MCDM)相结合的方法，对地面太阳能发电场的空间适宜性进行了研究。识别一组六个排除标准，并将其从被认为可用于构建的地图层中移除。然后使用层次分析法(AHP)确定影响农场安置的九个选定评价标准的权重。邻近栅格层由公路网和高传输线等特征派生而来，覆盖有10m x 10m的栅格地形层，包括海拔、坡度和坡向，最后与包括全球太阳辐射、日照时数、气温和相对湿度在内的气候参数的内插栅格数据集相结合。这一组合过程通过加权线性组合(WLC)技术生成了一份高分辨率的太阳能资源潜力地图集，将岛屿上可供放置太阳能发电场的区域从高潜力到低潜力进行分类。进一步利用感兴趣地区的航空图像对非常合适的地点进行分析，确定了3个最佳地点，它们都位于该岛北部平原。所展示的方法预计将有助于减少目前分配用于确定和评估毛里求斯太阳能发电厂建设热点的时间、资金和资源。(C)2018爱思唯尔有限公司。保留所有权利。
Determining economically viable and highly efficient strategic locations for utility-scale solar power plants is a costly procedure that depends on several factors. This paper investigates the spatial suitability for installations of ground-mounted solar farms based on legal, social, technical, economic, environmental and cultural perspectives through the use of Geographic Information System (GIS) analysis combined with Multi-criteria Decision Making (MCDM) technique. A set of six exclusion criteria are identified and removed from the map layer considered exploitable for construction. The Analytical Hierarchy Process (AHP) is then used to determine the weights of nine selected evaluation criteria found to influence the placements of the farms. Proximity raster layers were derived from features including road network and high transmission lines, overlain with a 10 m x 10 m raster terrain layers which includes elevation, slope and aspect and finally combined with interpolated raster dataset of climatological parameters comprising of global solar radiation, sunshine duration, air temperature and relative humidity. This combinatorial process through the Weighted Linear Combination (WLC) technique generated a high resolution solar resource potential atlas classifying regions on the island from high to low potential for solar farm placement. Further analysis of highly suitable sites with aerial images of the localities of interest resulted in the identification of 3 best sites all situated in the northern plains of the island. The approach demonstrated is expected to help reduce time, money and resources presently allocated towards identifying and assessing hot spots for the construction of solar power plants in Mauritius. (C) 2018 Elsevier Ltd. All rights reserved.