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A GIS-based Boolean logic-analytical hierarchy process for solar power plant (case study: Erbil Governorate-Iraq)

机译:基于GIS的太阳能发电厂的布尔逻辑分析层次分析过程(案例研究:Erbil Governorate-Iraq)

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摘要

The remarkable increase in population and industrial development has brought priority to the installation of solar power plants in developing countries. Solar power site selection is a complicated task, which involves spatial assessment, driving environment, economic and climatological factors. For different site selection studies, multi-criteria estimation was used. This study utilized GIS and Boolean-AHP model to perform solar power site selection in Erbil governorate. The study proposed three scenarios: economic weight scenario, environment weight scenario and equal weight scenario. The final index model identifies four groups: unsuitable, low suitable, moderately suitable and highly suitable. Consequently, the study identified 369 candidate sites to install the solar power farms, interestingly; about 85% of the candidate sites are located in the southern and central part of the study area.
机译:人口和产业发展的显着增加引起了发展中国家的太阳能电厂的安装。 太阳能电力网站选择是一个复杂的任务,涉及空间评估,驾驶环境,经济和气候因素。 对于不同的场地选择研究,使用多标准估计。 本研究利用GIS和布尔-AHP模型在Erbil Guindoration中执行太阳能现场选择。 该研究提出了三种情景:经济体重情景,环境重量场景和平等体重方案。 最终的索引模型识别四组:不合适,低合适,适度的适合和高度合适的。 因此,该研究确定了369个候选站点,有趣地安装太阳能电力农场; 大约85%的候选地点位于研究区的南部和中部部分。

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