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...

Full description

Bibliographic Details
Main Authors: 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
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