Title |
Study on Generation Volume of Floating Solar Power Using Historical Insolation Data |
Authors |
나혜지(Na, Hyeji) ; 김경석(Kim, Kyeongseok) |
DOI |
https://doi.org/10.12652/Ksce.2023.43.2.0249 |
Keywords |
일사량; 패널 효율; 수상태양광; 발전량; 몬테카를로 시뮬레이션 Insolation; Solar panel efficiency; Floating solar power; Generation; Monte Carlo simulation |
Abstract |
Solar power has the largest proportion of power generation and facility capacity among renewable energy in South Korea. Floating solar power plant is a new way to resolve weakness of land solar power plant. This study analyzes the power generation of the 18.7 MW floating solar power project located in Saemangeum, Gunsan-si. Since the solar power generation has a characteristic that is greatly affected by the climate, various methods have been applied to predict solar power generation. In general, variables necessary for predicting power generation are solar insolation on inclined surfaces, solar generation efficiency, and panel installation area. This study analyzed solar power generation using the monthly solar insolation data from the KMA (Korea Meteorological Administration) over the past 10 years. Monte Carlo simulation (MCS) was applied to predict the solar power generation with the variables including solar panel efficiency and insolation. In the case of Saemangeum solar power project, the most solar power generation was in May, the least was in December, the average solar power generation simulated on MCS is 2.1 GWh per month, the minimum monthly power generation is 0.3 GWh, and the maximum is 5.0 GWh. |