KnE Life Sciences

ISSN: 2413-0877

The latest conference proceedings on life sciences, medicine and pharmacology.

Potential of Solar Energy Mapping in East Priangan Using Satellite Imagery and Environmental Based on GIS

Published date: Mar 27 2024

Journal Title: KnE Life Sciences

Issue title: International Conference On Mathematics And Science Education (ICMScE 2022): Life Sciences

Pages: 284–291

DOI: 10.18502/kls.v8i1.15592

Authors:

Riki Purnama Putrapurnamariki20@gmail.comProgram Studi Pendidikan Fisika, Fakultas Tarbiyah dan Keguruan, UIN Sunan Gunung Djati Bandung. Panyileukan, Jl. Cimencrang, Kec. Gedebage, Kota Bandung, Jawa Barat. 40292, Indonesia

Seni SusantiProgram Studi Pendidikan Fisika, Fakultas Tarbiyah dan Keguruan, UIN Sunan Gunung Djati Bandung. Panyileukan, Jl. Cimencrang, Kec. Gedebage, Kota Bandung, Jawa Barat. 40292, Indonesia

Indy RamadhantiProgram Studi Pendidikan Fisika, Fakultas Tarbiyah dan Keguruan, UIN Sunan Gunung Djati Bandung. Panyileukan, Jl. Cimencrang, Kec. Gedebage, Kota Bandung, Jawa Barat. 40292, Indonesia

Rena Denya AgustinaProgram Studi Pendidikan Fisika, Fakultas Tarbiyah dan Keguruan, UIN Sunan Gunung Djati Bandung. Panyileukan, Jl. Cimencrang, Kec. Gedebage, Kota Bandung, Jawa Barat. 40292, Indonesia

Abstract:

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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