태양광 패널 일사량에 기반한 대표연도 데이터 비교 평가

Abstract

The Typical Meteorological Year (TMY) dataset compiles 12 months of data that best represent long-term climatepatterns, focusing on global horizontal irradiance and other weather-related variables. However, the irradiance measured on the planeof the array (POA) shows certain distinct distribution characteristics compared with the irradiance in the TMY dataset, and this mayintroduce some biases. Our research recalculated POA irradiance using both the Isotropic and DIRINT models, generating an updateddataset that was tailored to POA characteristics. Our analysis showed a 28% change in the selection of typical meteorological months,an 8% increase in average irradiance, and a 40% reduction in the range of irradiance values, thus indicating a significant shift inirradiance distribution patterns. This research aims to inform stakeholders about accurate use of TMY datasets in potentialdecision-making. These findings underscore the necessity of creating a typical dataset by using the time series of POA irradiance,which represents the orientation in which PV panels will be deployed.