# Analysis and Prioritization of the Floating Photovoltaic System Potential for Reservoirs in Korea
## 2 Study Area and Data  
In this study, we investigated whether floating PV installation is suitable for reservoirs distributed in South Korea. There are 3401 reservoirs managed by the KRC as a database that contains information such as the area of the reservoir, dead water level, full water level, and water storage capacity. The database was downloaded from the Public Data Portal (PDP, data.go.kr). Spatial data such as location and boundary information for each reservoir are also managed and provided to the public. They were downloaded from the National Spatial Data Infrastructure Portal (NSDI, data.nsdi.go.kr). Figure 1a shows reservoir locations, provinces, and some major cities, and Figure 1b shows reservoir density across the country. It can be seen that the most reservoirs are concentrated in Jeollanam-do. Using this location data, each reservoir is constructed as point data, and each point object has the name and standard code of the reservoir. Since these standard codes are used in the same way in all the databases, they are used to perform joint work between different data sources. To calculate the area for each reservoir and perform geospatial analysis, information on the boundary of the reservoir was used. Most of the reservoir boundaries and locations are very accurately constructed, except some of the very small reservoirs, when compared with satellite images. To operate floating PV properly, the reservoir needs to have sufficient water depth. Therefore, information on reservoir depth is required for this study, and the PDP provides the level of the reservoir managed by the KRC on a daily basis. This information is provided through OpenAPI, which is a publicly available application programming interface that provides developers with programmatic access to web service. In this study, we constructed a database of the daily reservoir depth over one year in 2017 for all reservoirs through Python coding for OpenAPI. To evaluate the potential of floating PV installed in the reservoir, it is necessary to use the solar irradiance for each site. In this study, we use the typical meteorological year (TMY) data constructed by the Korea Institute of Energy Research (KIER, Daejeon, Korea) to predict the amount of solar irradiance at each site. Global horizontal irradiance (GHI) and direct normal irradiance (DNI) derived from TMY data are used in this study. TMY datasets in 16 cities are created by KIER and distributed by the National Center for Standard Reference Data (NCSRD, Daejeon, Korea). In addition, it is necessary to analyze the shadowing effect to evaluate the power production of floating PV. For this purpose, information about the terrain is needed. In this study, the digital elevation model (DEM) of 90-m resolution, downloaded from the National Geographic Information Institute (NGII, Suwon, Korea), is used. The DEM and TMY observation points for South Korea are shown in Figure 2.  
step, reservoirs that do not have sufficient water depth were excluded from the analysis. In the fourth step, the possible power production of the floating PV system of each reservoir was estimated by considering the meteorological data and system design parameters. In the fifth step, the economic feasibility and reduction in GHG emissions by administrative districts were evaluated based on the expected power production.