The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model
The Korea Aerospace Research Institute (KARI) estimated solar renewable energy maps for the Korean Peninsula using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite). In the case of photovoltaic renewable energy, it is not only used as input data...
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| Format: | Article |
| Language: | English |
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GeoAI Data Society
2020-02-01
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| Series: | Geo Data |
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| Online Access: | http://geodata.kr/upload/pdf/geo-2-1-19.pdf |
| _version_ | 1827822884192518144 |
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| author | JongMin Yeom Hongtak Lee |
| author_facet | JongMin Yeom Hongtak Lee |
| author_sort | JongMin Yeom |
| collection | DOAJ |
| description | The Korea Aerospace Research Institute (KARI) estimated solar renewable energy maps for the Korean Peninsula using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite). In the case of photovoltaic renewable energy, it is not only used as input data for installation of solar thermal plants and solar panel power plants to acquire renewable energy, but also for various fields such as agriculture, weather, climate change, energy and ecology. The spatial resolution of the solar renewable energy map is 4 km, and there are two temporal resolutions each month and yearly. The spatial range of the observation area was performed for the latitude 33 ° N ~ 42 ° N and the longitude 122 ° E ~ 131 ° E as shown in Fig. 1. In this solar renewable energy map, it was calculated by applying geostationary orbiting satellites based on the physical model. The physical model uses spectral information from COMS satellite to reflect the effects of aerosols, water vapor, and ozone on the scattering and absorption of atmospheric gases when solar radiation passing the atmosphere. Therefore, the amount of incident solar radiation attenuation for each gas was simulated by parameterization of physical model. In addition, in order to consider the biggest factor in cloud attenuation effect, our algorithm applies cloud attenuation factor for cloud top reflectance and cloud penetration according pass length. Finally, the photovoltaic renewable energy map was analyzed by comparing with the ground pyranometer data of the weather stations located in South Korea. |
| first_indexed | 2024-03-12T02:04:01Z |
| format | Article |
| id | doaj.art-2ae7525d4e9e42e5a531ef6cf5dc9148 |
| institution | Directory Open Access Journal |
| issn | 2713-5004 |
| language | English |
| last_indexed | 2024-03-12T02:04:01Z |
| publishDate | 2020-02-01 |
| publisher | GeoAI Data Society |
| record_format | Article |
| series | Geo Data |
| spelling | doaj.art-2ae7525d4e9e42e5a531ef6cf5dc91482023-09-07T05:56:39ZengGeoAI Data SocietyGeo Data2713-50042020-02-0121192310.22761/DJ2020.01.01.00421The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical modelJongMin Yeom0Hongtak Lee1Satellite Application Division, Korea Aerospace Research InstituteSatellite Application Division, Korea Aerospace Research InstituteThe Korea Aerospace Research Institute (KARI) estimated solar renewable energy maps for the Korean Peninsula using the Cheonian geostationary orbiting satellite (COMS: Communication, Ocean and Meteorological Satellite). In the case of photovoltaic renewable energy, it is not only used as input data for installation of solar thermal plants and solar panel power plants to acquire renewable energy, but also for various fields such as agriculture, weather, climate change, energy and ecology. The spatial resolution of the solar renewable energy map is 4 km, and there are two temporal resolutions each month and yearly. The spatial range of the observation area was performed for the latitude 33 ° N ~ 42 ° N and the longitude 122 ° E ~ 131 ° E as shown in Fig. 1. In this solar renewable energy map, it was calculated by applying geostationary orbiting satellites based on the physical model. The physical model uses spectral information from COMS satellite to reflect the effects of aerosols, water vapor, and ozone on the scattering and absorption of atmospheric gases when solar radiation passing the atmosphere. Therefore, the amount of incident solar radiation attenuation for each gas was simulated by parameterization of physical model. In addition, in order to consider the biggest factor in cloud attenuation effect, our algorithm applies cloud attenuation factor for cloud top reflectance and cloud penetration according pass length. Finally, the photovoltaic renewable energy map was analyzed by comparing with the ground pyranometer data of the weather stations located in South Korea.http://geodata.kr/upload/pdf/geo-2-1-19.pdfsolar energy resourcescoms miphysical modelrenewable energy |
| spellingShingle | JongMin Yeom Hongtak Lee The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model Geo Data solar energy resources coms mi physical model renewable energy |
| title | The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model |
| title_full | The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model |
| title_fullStr | The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model |
| title_full_unstemmed | The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model |
| title_short | The spatial data of renewable solar energy resources over Korean Peninsula using COMS MI and physical model |
| title_sort | spatial data of renewable solar energy resources over korean peninsula using coms mi and physical model |
| topic | solar energy resources coms mi physical model renewable energy |
| url | http://geodata.kr/upload/pdf/geo-2-1-19.pdf |
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