Determination of the appropriate zone on dam surface for floating photovoltaic system installation using RS and GISc technologies

IF 3.1 Q2 ENGINEERING, GEOLOGICAL
Osman Salih YILMAZ, Fatih GÜLGEN, Ali Murat ATEŞ
{"title":"Determination of the appropriate zone on dam surface for floating photovoltaic system installation using RS and GISc technologies","authors":"Osman Salih YILMAZ, Fatih GÜLGEN, Ali Murat ATEŞ","doi":"10.26833/ijeg.1052556","DOIUrl":null,"url":null,"abstract":"This study aims to reveal suitable places where floating photovoltaic-solar power plants (FPV-SPPs) can be installed on the dam surface using the possibilities of remote sensing (RS) and geographical information science (GISc) technologies. Past satellite images from Landsat and Sentinel platforms allow researchers to analyse shoreline changes in the dam surface. Shoreline extraction is a crucial process for the FPV-SPP to stay afloat despite external constraints. In this study, changes in dam water levels were determined by classifying 20-year satellite images and analysing a 32-year global surface water dynamics dataset. The water surface area was calculated as 1,562.40 ha using the random forest (RF) algorithm and the normalized differences water index (NDWI) on Google Earth Engine (GEE) cloud platform. In addition, solar analysis was carried out with GISc using annual solar radiation maps shuttle radar topography mission (SRTM) data, which directly affects the energy production of FPV-SPPs. It has been calculated that the solar radiation on the water surface varies between 1,554 kWh/m2-year and 1,875 kWh/m2-year. These calculated values were divided into five different classes, and it was observed that 88.5% of the dam surface had a very high level of solar radiation compared to other areas. Higher efficiency will be obtained from the FPV-SPP to be installed in this region compared to the systems to be installed in other regions. It has been observed that the radiation values in other parts of the water surface are lower due to topographic shading. These analyses revealed energy zones with high production potential, thereby easing the decision-making process for investors planning to establish FPV-SPPs.","PeriodicalId":42633,"journal":{"name":"International Journal of Engineering and Geosciences","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering and Geosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26833/ijeg.1052556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 3

Abstract

This study aims to reveal suitable places where floating photovoltaic-solar power plants (FPV-SPPs) can be installed on the dam surface using the possibilities of remote sensing (RS) and geographical information science (GISc) technologies. Past satellite images from Landsat and Sentinel platforms allow researchers to analyse shoreline changes in the dam surface. Shoreline extraction is a crucial process for the FPV-SPP to stay afloat despite external constraints. In this study, changes in dam water levels were determined by classifying 20-year satellite images and analysing a 32-year global surface water dynamics dataset. The water surface area was calculated as 1,562.40 ha using the random forest (RF) algorithm and the normalized differences water index (NDWI) on Google Earth Engine (GEE) cloud platform. In addition, solar analysis was carried out with GISc using annual solar radiation maps shuttle radar topography mission (SRTM) data, which directly affects the energy production of FPV-SPPs. It has been calculated that the solar radiation on the water surface varies between 1,554 kWh/m2-year and 1,875 kWh/m2-year. These calculated values were divided into five different classes, and it was observed that 88.5% of the dam surface had a very high level of solar radiation compared to other areas. Higher efficiency will be obtained from the FPV-SPP to be installed in this region compared to the systems to be installed in other regions. It has been observed that the radiation values in other parts of the water surface are lower due to topographic shading. These analyses revealed energy zones with high production potential, thereby easing the decision-making process for investors planning to establish FPV-SPPs.
利用RS和GISc技术确定浮动光伏系统在坝面的合适安装区域
本研究旨在利用遥感(RS)和地理信息科学(GISc)技术的可能性,揭示可在大坝表面安装浮动光伏太阳能发电厂(FPV-SPPs)的合适地点。过去来自陆地卫星和哨兵平台的卫星图像使研究人员能够分析大坝表面的海岸线变化。岸线提取是FPV-SPP不受外部限制而保持漂浮的关键过程。在这项研究中,通过分类20年的卫星图像和分析32年的全球地表水动力学数据集,确定了大坝水位的变化。采用随机森林(RF)算法和谷歌Earth Engine (GEE)云平台上的归一化差水指数(NDWI)计算水体面积为1,562.40 ha。此外,利用航天飞机雷达地形任务(SRTM)的年度太阳辐射图数据,利用GISc进行了太阳辐射分析,这直接影响了fpv - spp的能源生产。经计算,水面太阳辐射在1554 ~ 1875 kWh/m2-年之间变化。将这些计算值分为5个不同的类别,观察到88.5%的大坝表面与其他地区相比太阳辐射水平很高。与在其他地区安装的系统相比,在该地区安装的FPV-SPP将获得更高的效率。观测到,由于地形遮阳,水面其他部分的辐射值较低。这些分析揭示了具有高生产潜力的能源区,从而简化了计划建立fpv - spp的投资者的决策过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信