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Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia

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 strateg...

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Autores principales: Sakti, Anjar Dimara, Rohayani, Pitri, Izzah, Nurusshobah Ainul, Toya, Nur Afrizal, Hadi, Pradita Octoviandiningrum, Octavianti, Thanti, Harjupa, Wendi, Caraka, Rezzy Eko, Kim, Yunho, Avtar, Ram, Puttanapong, Nattapong, Lin, Chao-Hung, Wikantika, Ketut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823262/
https://www.ncbi.nlm.nih.gov/pubmed/36611056
http://dx.doi.org/10.1038/s41598-022-25570-y
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author Sakti, Anjar Dimara
Rohayani, Pitri
Izzah, Nurusshobah Ainul
Toya, Nur Afrizal
Hadi, Pradita Octoviandiningrum
Octavianti, Thanti
Harjupa, Wendi
Caraka, Rezzy Eko
Kim, Yunho
Avtar, Ram
Puttanapong, Nattapong
Lin, Chao-Hung
Wikantika, Ketut
author_facet Sakti, Anjar Dimara
Rohayani, Pitri
Izzah, Nurusshobah Ainul
Toya, Nur Afrizal
Hadi, Pradita Octoviandiningrum
Octavianti, Thanti
Harjupa, Wendi
Caraka, Rezzy Eko
Kim, Yunho
Avtar, Ram
Puttanapong, Nattapong
Lin, Chao-Hung
Wikantika, Ketut
author_sort Sakti, Anjar Dimara
collection PubMed
description 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.
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spelling pubmed-98232622023-01-09 Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia Sakti, Anjar Dimara Rohayani, Pitri Izzah, Nurusshobah Ainul Toya, Nur Afrizal Hadi, Pradita Octoviandiningrum Octavianti, Thanti Harjupa, Wendi Caraka, Rezzy Eko Kim, Yunho Avtar, Ram Puttanapong, Nattapong Lin, Chao-Hung Wikantika, Ketut Sci Rep Article 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. Nature Publishing Group UK 2023-01-07 /pmc/articles/PMC9823262/ /pubmed/36611056 http://dx.doi.org/10.1038/s41598-022-25570-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sakti, Anjar Dimara
Rohayani, Pitri
Izzah, Nurusshobah Ainul
Toya, Nur Afrizal
Hadi, Pradita Octoviandiningrum
Octavianti, Thanti
Harjupa, Wendi
Caraka, Rezzy Eko
Kim, Yunho
Avtar, Ram
Puttanapong, Nattapong
Lin, Chao-Hung
Wikantika, Ketut
Spatial integration framework of solar, wind, and hydropower energy potential in Southeast Asia
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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823262/
https://www.ncbi.nlm.nih.gov/pubmed/36611056
http://dx.doi.org/10.1038/s41598-022-25570-y
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