Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia
Abstract Amid its massive increase in energy demand, Southeast Asia has pledged to increase its use of renewable energy by up to 23% by 2025. Geospatial technology approaches that integrate statistical data, spatial models, earth observation satellite data, and climate modeling can be used to conduc...
Main Authors: | , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-25570-y |
_version_ | 1797958686921981952 |
---|---|
author | Anjar Dimara Sakti Pitri Rohayani Nurusshobah Ainul Izzah Nur Afrizal Toya Pradita Octoviandiningrum Hadi Thanti Octavianti Wendi Harjupa Rezzy Eko Caraka Yunho Kim Ram Avtar Nattapong Puttanapong Chao-Hung Lin Ketut Wikantika |
author_facet | Anjar Dimara Sakti Pitri Rohayani Nurusshobah Ainul Izzah Nur Afrizal Toya Pradita Octoviandiningrum Hadi Thanti Octavianti Wendi Harjupa Rezzy Eko Caraka Yunho Kim Ram Avtar Nattapong Puttanapong Chao-Hung Lin Ketut Wikantika |
author_sort | Anjar Dimara Sakti |
collection | DOAJ |
description | Abstract Amid its massive increase in energy demand, Southeast Asia has pledged to increase its use of renewable energy by up to 23% by 2025. Geospatial technology approaches that integrate statistical data, spatial models, earth observation satellite data, and climate modeling can be used to conduct strategic analyses for understanding the potential and efficiency of renewable energy development. This study aims to create the first spatial model of its kind in Southeast Asia to develop multi-renewable energy from solar, wind, and hydropower, further broken down into residential and agricultural areas. The novelty of this study is the development of a new priority model for renewable energy development resulting from the integration of area suitability analysis and the estimation of the amount of potential energy. Areas with high potential power estimations for the combination of the three types of energy are mostly located in northern Southeast Asia. Areas close to the equator, have a lower potential than the northern countries, except for southern regions. Solar photovoltaic (PV) plant construction is the most area-intensive type of energy generation among the considered energy sources, requiring 143,901,600 ha (61.71%), followed by wind (39,618,300 ha; 16.98%); a combination of solar PV and wind (37,302,500 ha; 16%); hydro (7,665,200 ha; 3.28%); a combination of hydro and solar PV (3,792,500 ha; 1.62%); and a combination of hydro and wind (582,700 ha; 0.25%). This study is timely and important because it will inform policies and regional strategies for transitioning to renewable energy, with consideration of the different characteristics present in Southeast Asia. |
first_indexed | 2024-04-11T00:22:31Z |
format | Article |
id | doaj.art-07ee37c110b04f2b89963859980ee6a6 |
institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-04-11T00:22:31Z |
publishDate | 2023-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Reports |
spelling | doaj.art-07ee37c110b04f2b89963859980ee6a62023-01-08T12:10:24ZengNature PortfolioScientific Reports2045-23222023-01-0113111810.1038/s41598-022-25570-ySpatial integration framework of solar, wind, and hydropower energy potential in Southeast AsiaAnjar Dimara Sakti0Pitri Rohayani1Nurusshobah Ainul Izzah2Nur Afrizal Toya3Pradita Octoviandiningrum Hadi4Thanti Octavianti5Wendi Harjupa6Rezzy Eko Caraka7Yunho Kim8Ram Avtar9Nattapong Puttanapong10Chao-Hung Lin11Ketut Wikantika12Remote Sensing and Geographic Information Sciences Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi BandungCenter for Remote Sensing, Institut Teknologi BandungCenter for Remote Sensing, Institut Teknologi BandungMinistry of Agrarian Affairs and Spatial Planning/National Land AgencyPower Engineering Research Group, School of Electrical Engineering and Informatics, Institut Teknologi BandungDepartment of Geography and the Environment, University of the West of EnglandNational Research and Innovation AgencyNational Research and Innovation AgencyDepartment of Mathematical Sciences, College of Natural Science, Ulsan National Institute of Science and TechnologyFaculty of Environmental Earth Science, Hokkaido UniversityFaculty of Economics, Thammasat UniversityDepartment of Geomatics, National Cheng Kung UniversityRemote Sensing and Geographic Information Sciences Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi BandungAbstract Amid its massive increase in energy demand, Southeast Asia has pledged to increase its use of renewable energy by up to 23% by 2025. Geospatial technology approaches that integrate statistical data, spatial models, earth observation satellite data, and climate modeling can be used to conduct strategic analyses for understanding the potential and efficiency of renewable energy development. This study aims to create the first spatial model of its kind in Southeast Asia to develop multi-renewable energy from solar, wind, and hydropower, further broken down into residential and agricultural areas. The novelty of this study is the development of a new priority model for renewable energy development resulting from the integration of area suitability analysis and the estimation of the amount of potential energy. Areas with high potential power estimations for the combination of the three types of energy are mostly located in northern Southeast Asia. Areas close to the equator, have a lower potential than the northern countries, except for southern regions. Solar photovoltaic (PV) plant construction is the most area-intensive type of energy generation among the considered energy sources, requiring 143,901,600 ha (61.71%), followed by wind (39,618,300 ha; 16.98%); a combination of solar PV and wind (37,302,500 ha; 16%); hydro (7,665,200 ha; 3.28%); a combination of hydro and solar PV (3,792,500 ha; 1.62%); and a combination of hydro and wind (582,700 ha; 0.25%). This study is timely and important because it will inform policies and regional strategies for transitioning to renewable energy, with consideration of the different characteristics present in Southeast Asia.https://doi.org/10.1038/s41598-022-25570-y |
spellingShingle | Anjar Dimara Sakti Pitri Rohayani Nurusshobah Ainul Izzah Nur Afrizal Toya Pradita Octoviandiningrum Hadi Thanti Octavianti Wendi Harjupa Rezzy Eko Caraka Yunho Kim Ram Avtar Nattapong Puttanapong Chao-Hung Lin Ketut Wikantika Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia Scientific Reports |
title | Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia |
title_full | Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia |
title_fullStr | Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia |
title_full_unstemmed | Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia |
title_short | Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia |
title_sort | spatial integration framework of solar wind and hydropower energy potential in southeast asia |
url | https://doi.org/10.1038/s41598-022-25570-y |
work_keys_str_mv | AT anjardimarasakti spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT pitrirohayani spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT nurusshobahainulizzah spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT nurafrizaltoya spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT praditaoctoviandiningrumhadi spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT thantioctavianti spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT wendiharjupa spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT rezzyekocaraka spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT yunhokim spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT ramavtar spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT nattapongputtanapong spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT chaohunglin spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia AT ketutwikantika spatialintegrationframeworkofsolarwindandhydropowerenergypotentialinsoutheastasia |