[M-ZZ43] 再生可能エネルギーと地球科学

[MZZ43-P06] Solar Irradiance Variability for Active Use of Solar Energy in Around Asia-Pacific

*Kalingga Titon Nur Ihsan^1,2,3、Hideaki Takenaka⁴、Atsushi Higuchi^4,5,6,7,8、Anjar Dimara Sakti^3,9、Ketut Wikantika^3,9 (1.Department of Environmental Remote Sensing, Graduate School of Science and Engineering, Chiba University, Chiba 263-8522, Japan、2.Doctor Program in Program Study of Geodesy and Geomatic Engineering, Faculty of Earth Sciences and Technology, Bandung, Indonesia, 40132、3.Center for Remote Sensing, Institut Teknologi Bandung, Bandung, Indonesia, 40132、4.Center for Environmental Remote Sensing (CEReS), Chiba University, Chiba 263-8522, Japan、5.Research Institute of Disaster Medicine, Chiba University, Chiba 260-8670, Japan、6.Typhoon Science and Technology Research Center (TRC), Yokohama National University, Yokohama 240-8501, Japan、7.National Institute of Information and Communications Technology (NICT), Tokyo 184-8795, Japan、8.Solar Radiation Consortium, Chiba 261-0023, Japan 、9.Geographical Information Science and Technology Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung 40132, Indonesia; )

キーワード：Solar irradiance, Heterogeneity, Umbrella Effect, PCA, Solar Power Plant

The transition from fossil energy to renewable energy, one of which is solar energy, is currently being undertaken on a massive scale in various countries. However, the energy supply from the Sun is highly influenced by the uncertain weather conditions in a region. Information on energy variability is crucial for managing energy to meet the surrounding energy needs. This information is essential not only temporally in a region but also spatially to assess the energy exchange capabilities in neighbouring areas when another region experiences a significant decline. This study will employ both spatial and temporal approaches to determine variability at a specific location. The Principal Component Index (PCA) is utilized to determine spatial variability, while the Umbrella Effect Index (UI) is employed to quantify temporal variability. This research uses 10-minute observational data from Himawari 8/9 covering the Asia-Pacific region over a year. The study reveals that spatial heterogeneity in the Asia-Pacific region ranges from 0-135 W/m², with a high tendency in equatorial and highland areas. Additionally, the study finds that the UI values in the Asia-Pacific region range from 0-0.34, equivalent to 50-2224 hours per year. This research provides annual and seasonal analyses to demonstrate changes in variability conditions during each season in each region. Seasonal analysis is crucial as energy demand fluctuates by the seasons in each region. The study also offers an analysis of the spatiotemporal variation in solar irradiance, which can be utilized for optimizing and managing locations for solar power plant installations. Furthermore, the research evaluates existing solar power plants using different spatiotemporal variations compared to the commonly used method of using an average of length term solar irradiance or typical solar irradiance data.