The Development of Photovoltaic Resources Map Concerning Topographical Effect on Gangwon Region

Jee, Joon-Bum; Zo, Il-Sung; Lee, Kyu‐Tae; Lee, Won-Hak

doi:10.7836/kses.2011.31.2.037

Cited by 1 publication

(3 citation statements)

References 4 publications

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“…Despite the potential to become a major energy resource, solar power generation suffers from limitations due to high initial costs and site availability among others. Considering that solar power plants are costly to install and that, once installed, practically impossible to relocate, accurate surface insolation (insolation hereafter) data are sorely needed for cost-effectiveness in solar energy developments (Jee et al 2011;Lee et al 2011;Ruiz-Arias et al 2011;Kim 2013;Park et al 2015;Lee et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, in-situ measurements cannot be used for solar energy forecasting. Solar radiation models can be a cost-effective alternative to high-density sensor networks for generating solar energy maps over large areas (Greeley and Batson 1997;George and Maxwell 1999;Perez et al 2002;Lave and Kleissl 2011;Jee et al 2011). Solar radiation models that compute insolation by explicitly considering the physical processes involved the atmospheresurface radiative transfer, are also the sole practical source of operational solar energy forecasts for supporting real-time power grid managements.…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies examined the characteristics of insolation over various regions in Korea (e.g., Kim et al 2008;Zo et al 2010, 2017Lee et al 2011). Jee et al (2011Jee et al ( , 2017 analyzed the insolation in the Gangwon-do province and Seoul with multiple DEMs of varying scales to find that the calculated maximum expected power generation amount decreases with increasing DEM resolutions.…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Korea Meteorological Administration Solar Energy Resources Map Using Fine-Scale Terrain Data

Yun

Kim

Choi

et al. 2023

Asia-Pac J Atmos Sci

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Real-time solar energy resources mapping is crucial for the development and management of solar power facilities. This study analyzes the effects of the digital elevation model (DEM) resolution on the accuracy of the surface insolation (insolation hereafter) calculated by the Korea Meteorological Administration solar energy mapping system, KMAP-Solar, using two DEMs of different resolutions, 1.5 km and 100 m. It is found that KMAP-Solar yields smaller land-mean insolation with the fine-scale DEM than the coarse-scale DEM. The fine-scale DEM reduces biases by as much as 32 Wm− 2 for all observation sites, especially those in complex terrain and that the insolation error reduction is correlated with the difference in sky view factor (SVF) between the coarse- and fine-scale DEM. Both the coarse- and fine-scale DEMs generate the insolation-elevation and insolation-SVF relationship which is characterized by positive (negative) correlation between the insolation and the terrain altitude (SVF). However, the coarse-scale DEM substantially underestimates these relationships compared to the fine-scale DEM, mainly because the coarse-scale DEM underrepresents large terrain slopes and/or small SVFs, most seriously in high-altitude regions. The fine-scale DEM generates a more realistic insolation distribution than the coarse-scale DEM by incorporating a wider range of key terrain parameters involved in determining insolation. Improvements of insolation calculations in KMAP-Solar using a fine-scale DEM, especially in the areas of complex terrain, is of a practical value for Korea because the operational solar resources map from KMAP-Solar supports solar energy research, solar power plant installations, and real-time prediction and management of solar power within the power grid.

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