Revealing a Shift in Solar Photovoltaic Planning Sites in Vietnam from 2019 to 2022

Author:

Shimada Shoki1ORCID,Takeuchi Wataru1ORCID

Affiliation:

1. Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan

Abstract

Solar photovoltaic (PV) technology has been widely used as a major source of renewable energy. Vietnam is especially active in installing solar energy systems. The total installed solar PV capacity in Vietnam has significantly increased since 2019, but the spatial evolution of solar panels is yet to be discussed. Therefore, this study aims to reveal the shift that occurred in solar photovoltaic planning sites in Vietnam from 2019 to 2022. Solar PV maps were produced from Sentinel-2 imagery via a deep learning segmentation model. Land cover maps, terrain slope, solar power potential, population density, and power grid datasets were compared to the locations of the detected PV sites each year to reveal a shift in the solar farm planning sites. The result show that the deep learning model achieved satisfactory performance. The observed shift in the PV installation sites suggests that for the first two years, large solar farms were built on suitable land near the electricity grid, while smaller PVs were constructed at locations less suitable for solar energy production in 2021 and 2022. These findings suggest that the shift in solar PV planning in Vietnam was caused by the availability of suitable land with an appropriate energy transfer capacity and the participation of smaller-scale PV operators.

Funder

Remote Sensing Technology Center of Japan

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference70 articles.

1. (2022, December 16). The Global Goals. Available online: https://www.globalgoals.org/goals/7-affordable-and-clean-energy/.

2. (2022, December 16). Renewable Electricity. Available online: https://www.iea.org/reports/renewable-electricity.

3. (2022, December 16). Snapshot of Global PV Markets. Available online: https://iea-pvps.org/wp-content/uploads/2022/04/IEA_PVPS_Snapshot_2022-vF.pdf.

4. Tamura, T. (2022, January 28). Policy of Solar Photovoltaics in Japan 2022. Proceedings of the 2nd Conference of the Japan Photovoltaic Society, Kanazawa, Japan.

5. DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States;Yu;Joule,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3