Using Numerical Maps to Select Solar Panel Installation Sites no Expressway Slopes

Jaehoon Jung, Byungil Kim
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Abstract

: Solar energy is a viable source to replace fossil fuels. However, challenges associated with site selection for solar panel installation inhibit the uptake of solar energy systems. Expressway slopes offer a potentially attractive alternative for solar panel installation for the following reasons: expressway slopes are vacant public sites, they are abundant (about 4,193km in South Korea), and they are linear in nature. Traditionally when selecting sites for solar systems conventional surveying methods are employed. Unfortunately, these methods can be dangerous, time consuming, and labor intensive. To overcome these limitations of conventional site selection methodologies, we propose an automated approach using numerical maps. First, contour and expressway polylines are extracted separately from numeric maps. The extracted contour lines are then converted into a digital terrain model; this is used to calculate aspect and slope information. Next, the extracted expressway lines are projected onto a binary image and refined to recover the disconnections, and then applied to create a buffer zone to narrow the search space. Finally, all data sets are overlaid to identify candidate sites for solar panel systems and are visually verified through comparisons with aerial photos.
利用数字地图选择无高速公路斜坡的太阳能电池板安装地点
太阳能是一种可行的替代化石燃料的能源。然而,与太阳能电池板安装地点选择相关的挑战阻碍了太阳能系统的采用。高速公路斜坡为太阳能电池板的安装提供了一个潜在的有吸引力的选择,原因如下:高速公路斜坡是空置的公共场所,它们数量丰富(在韩国约有4,193公里),并且它们本质上是线性的。传统上,在选择太阳能系统的位置时,采用传统的测量方法。不幸的是,这些方法可能是危险的、耗时的和劳动密集型的。为了克服传统选址方法的这些局限性,我们提出了一种使用数字地图的自动化方法。首先,从数字地图中分别提取等高线和高速公路折线。然后将提取的等高线转换为数字地形模型;这是用来计算坡向和坡度信息。接下来,将提取的高速公路线投影到二值图像上,并对其进行细化以恢复不连接,然后应用于创建缓冲区以缩小搜索空间。最后,将所有数据集叠加以确定太阳能电池板系统的候选地点,并通过与航空照片的比较进行视觉验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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