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Suitable map analysis for wind energy projects using remote sensing and GIS: a case study in Turkey

机译:使用遥感和GIS对风能项目进行适当的地图分析:土耳其的案例研究

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The aim of the study is to create a suitable map for wind energy projects in a rural area. The primary goal here is to show a methodology using automatic object extraction of the target classes of buildings, vegetation, and ground. The secondary goal is to identify the potential effects for wind turbine sites based on four criteria: Wind speed, Slope, Building, and Vegetation using the fuzzy analytical hierarchy process (FAHP). This paper discusses two important situations for wind energy projects. The first strategy is to just determine the best suitable site locations of wind turbines, while the second strategy determines the locations of wind turbines with minimal negative effects on the rural area. The proposed approach is tested using the data obtained from a multi-sensor system in Evrencik, Turkey. In preliminary phases of renewable energy projects, successful results are dependent on evaluating the potential site's suitability with criteria such as social, environmental, physical, and economic conditions. Furthermore, an accuracy analysis is performed on the automatically extracted target classes for the study area, yielding a value of 89% in the remote sensing section of the study. Moreover, for the GIS section of the study, suitable and unsuitable areas are identified, and the suitability levels of the remaining areas are determined for the two strategies. According to the results, 11% of the areas are found to have high, moderate, and low suitability levels, and 89% are unsuitable for the first strategy, whereas these rates are, respectively, 2% and 98% for the second strategy.
机译:研究的目的是为农村地区的风能项目创建合适的地图。此处的主要目标是展示一种使用自动对象提取建筑物,植被和地面的目标类别的方法。第二个目标是使用模糊层次分析法(FAHP),基于四个标准确定风轮机站点的潜在影响:风速,坡度,建筑物和植被。本文讨论了风能项目的两种重要情况。第一种策略是仅确定风力涡轮机的最佳位置,而第二种策略则确定对农村地区的负面影响最小的风力涡轮机的位置。使用从土耳其Evrencik的多传感器系统获得的数据对提出的方法进行了测试。在可再生能源项目的初期阶段,成功的结果取决于是否根据社会,环境,自然和经济条件等标准来评估潜在场所的适宜性。此外,对自动提取的研究区域目标类别进行了准确性分析,在研究的遥感区域中得出89%的值。此外,对于研究的GIS部分,确定了合适的区域和不合适的区域,并确定了这两种策略剩余区域的合适水平。根据结果​​,发现11%的区域具有高,中和低适用性水平,而89%的区域不适合第一种策略,而第二种策略的发生率分别为2%和98%。

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