利用卫星图像和基于地理信息系统的环境,绘制东普里扬甘地区太阳能潜力图

Riki Purnama Putra, Seni Susanti, Indy Ramadhanti, R. D. Agustina
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摘要

可再生能源是一种可以用来开启包括印度尼西亚在内的世界上仍在广泛使用的所有能源的能源。太阳能是一种以太阳能为主要成分形成电能的可再生能源。太阳能是像印尼这样位于赤道上的国家最有可能使用的能源之一。其中一个有趣的问题是,如何确定安装太阳能发电站的最有效区域,以使发电站接收的电力更加有效。本研究旨在利用地理信息系统(GIS)以及集中式太阳能发电(CSP)和集中式太阳能光伏发电(SPV)地图,分析在西爪哇省东普里扬甘地区安装太阳能电池板的有效区域。本研究采用的方法是利用遥感技术测量年平均水平辐照度(GHI)和正常直接辐照度(DNI)。太阳辐照数据(GHI 和 DNI)来自美国国家航空航天局(NASA)的地表气象计划和太阳能数据,而土地利用/土地覆盖和数字高程模型则是利用地理信息系统(GIS)获得的。结果表明,与低洼地区相比,普里延安东部的高洼地区获得了更有效的 CSP 和 SPV 结果,但低洼地区在荒漠化地区显示出了平均有效值。关键词:太阳能、东普里延安、卫星图像、环境、地理信息系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potential of Solar Energy Mapping in East Priangan Using Satellite Imagery and Environmental Based on GIS
Renewable energy is an energy that can be used to turn on all the energy that is still widely used in the world, including in Indonesia. Solar energy is a renewable energy that uses solar energy as the main ingredient in the formation of electrical energy. Solar energy is one of the most likely energies in a country that is on the equator like Indonesia. One of the interesting problems is how to determine the most effective area for the installation of solar power plants to make the power received by the power plant more effective. This study aims to analyze the effective area for installing solar panels using a Geographic Information System (GIS) as well as mapping of Centralized Solar Power (CSP) and centralized solar photovoltaic (SPV) in the East Priangan area, West Java. The method used in this study is based on the use of remote sensing of the average annual horizontal irradiation (GHI) and Normal Direct Irradiation (DNI). Solar irradiation data (GHI and DNI) were obtained from data from the surface meteorological program and solar energy by NASA, while Land Use/Land Cover, and Digital Elevation Models were used with the use of GIS. The results show that high areas in East Priangan get more effective CSP and SPV results than low areas, but low areas show an average effectiveness value in denuded areas. Keywords: solar energy, east Priangan, satellite imagery, environmental, GIS
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