[논문]Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables

Yeom, Jong-Min; Deo, Ravinesh C.; Adamwoski, Jan F.; Chae, Taebyeong; Kim, Dong-Su; Han, Kyung-Soo; Kim, Do-Yong

doi:10.1016/j.rser.2019.109570

[해외논문] Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables 원문보기

Renewable & sustainable energy reviews, v.119, 2020년, pp.109570 -

Yeom, Jong-Min (Korea Aerospace Research Institute, Satellite Application Division 115 Gwahangno) , Deo, Ravinesh C. (School of Sciences, Centre for Sustainable Agricultural Systems, University of Southern Queensland) , Adamwoski, Jan F. (Department of Bioresource Engineering, Faculty of Agricultural and Environmental Sciences, McGill University) , Chae, Taebyeong (Korea Aerospace Research Institute, Satellite Application Division 115 Gwahangno) , Kim, Dong-Su (Big Data Application Division, Korea Meteorological Administration) , Han, Kyung-Soo (Department of Spatial Information Engineering, Pukyong National University) , Kim, Do-Yong (Department of Environmental Engineering, Mokpo National University)

Abstract ▼ AI-Helper

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. Highlights First step towards mapping of North Korea's renewable solar and wind energy resources. Satellite and NWP model used for renewable energy potential of inaccessible North Korean region. High wind resource and relatively low solar resources but solar energy potential is reasonable. Advocacy for renewable energy in North Korea is a pivotal step for energy utilization.

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