Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables
Article
Article Title | Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables |
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ERA Journal ID | 4066 |
Article Category | Article |
Authors | Yeom, Jong-Min (Author), Deo, Ravinesh (Author), Adamowski, Jan F. (Author), Chae, Taebyeong (Author), Kim, Dong-Su (Author), Han, Kyung-Soo (Author) and Kim, Do-Yong (Author) |
Journal Title | Renewable and Sustainable Energy Reviews |
Journal Citation | 119, pp. 1-14 |
Article Number | 109570 |
Number of Pages | 14 |
Year | 2020 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 1364-0321 |
1879-0690 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.rser.2019.109570 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S1364032119307786 |
Abstract | Despite their potential as a naturally-available clean energy option, the renewable energy resources of the Democratic People's Republic of Korea (i.e., North Korea) have rarely been evaluated. Therefore, to estimate the availability of land surface solar irradiance necessary for solar applications and to model available energy potential, physically-based models drawing on Communication, Ocean and Meteorological Satellite (COMS) data and associated statistics for key atmospheric constituents, were employed. To assess wind energy resources, model output statistics (MOS) were integrated from post-processed Local Data Assimilation and Prediction System (LDAPS) variables, thereby removing any systematic bias arising from long-term regression methods. The root mean square error (RMSE) and mean bias error (MBE) served to compare pyranometer- and satellite-sourced solar radiation, under instantaneous (87.90 W m−2 and 16.84 W m−2, respectively) and daily ‘all sky conditions’ (624.98 Wh m−2 d−1 and 13.89 Wh m−2 d−1, respectively). These low values indicate that satellite-based solar irradiance is sufficiently accurate to be used to model future land surface solar energy in North Korea. In the evaluation of wind energy resources, daily wind speeds obtained from Numerical Weather Prediction (NWP) reanalysis fields showed good accuracy compared to a meteorological tower measurement (RMSE = 0.37 m s−1 and MBE = 0.24 m s−1). In the study region, mean wind energy potential (from 2013–2015) was 3.44 kWh m−2 d−1, whereas solar energy potential was slightly lower at 3.36 kWh m−2 d−1; this can be attributed to the nation's mountainous terrain and high latitude. Although the region's mountainous terrain may be an obstacle for future development of renewable energy infrastructure, these initial annual mean solar and wind power density results illustrate the significant renewable energy potential of North Korea. This situates the country in a position to promote the United Nations Sustainable Development Goal (SDG #7) of integrating cleaner and more sustainable energy resources through solar and wind power. |
Keywords | renewable energy COMS MI satellite; numerical weather prediction (NWP); North Korea; solar energy; wind energy |
ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
410404. Environmental management | |
Byline Affiliations | Korea Aerospace Research Institute, Korea |
School of Sciences | |
McGill University, Canada | |
Korea Meteorological Administration, Korea | |
Pukyong National University, Korea | |
Mokpo National University, South Korea | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5815/exploring-solar-and-wind-energy-resources-in-north-korea-with-coms-mi-geostationary-satellite-data-coupled-with-numerical-weather-prediction-reanalysis-variables
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