首页> 外文期刊>Renewable & Sustainable Energy Reviews >GIS-based solar farms site selection using analytic hierarchy process(AHP) in Karapinar region, Konya/Turkey
【24h】

GIS-based solar farms site selection using analytic hierarchy process(AHP) in Karapinar region, Konya/Turkey

机译:在土耳其科尼亚的卡拉皮纳尔地区,基于层次分析法(AHP)的基于GIS的太阳能农场选址

获取原文
获取原文并翻译 | 示例
           

摘要

Renewable energy is dean sources and has a much lower environmental impact than other energy sources. In Turkey, solar energy investments have been developed rapidly in recent years. Site selection for solar farms is a critical issue for large investments because of quality of terrain, local weathering factors, proximity to high transmission capacity lines, agricultural facilities and environmental conservation issues. Multi criteria evaluation methods are often used for different site selection studies. The purpose of this study was to determine suitable site selection for solar farms by using GIS and AHP in the study area. The final index model was grouped into four categories as "low suitable", "moderate", "suitable" and "best suitable" with an equal interval classification method. As a result 1538% (928.18 km~2) of the study area has low suitable, 1438% (867.83 km~2) has moderate suitable, 15.98% (964.39 km~2) has suitable and 13.92% (840.07 km~2) has best suitable for solar farms area. 40.34% (2434.52 km2) of the study area is not suitable for solar farm areas.
机译:可再生能源是重要的能源,其环境影响远低于其他能源。在土耳其,近年来太阳能投资发展迅速。由于地形的质量,当地的天气因素,靠近高输电线路的距离,农业设施和环境保护等问题,太阳能发电场的选址对于大型投资而言是一个关键问题。多标准评估方法通常用于不同的选址研究。这项研究的目的是通过在研究区域内使用GIS和AHP确定适合太阳能农场的选址。最终索引模型通过等间隔分类方法分为“低适合”,“中等”,“适合”和“最适合”四个类别。结果研究区域的1538%(928.18 km〜2)具有较低的适合度,1438%(867.83 km〜2)具有中等的适合度,15.98%(964.39 km〜2)具有适合的度和13.92%(840.07 km〜2)最适合太阳能农场地区。研究区域的40.34%(2434.52 km2)不适合太阳能农场区域。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号