New & Renewable Energy (신재생에너지)

Korean Society for New and Renewable Energy (한국신·재생에너지학회)
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Comparative Assessment of Typical Year Dataset based on POA Irradiance

태양광 패널 일사량에 기반한 대표연도 데이터 비교 평가

  • Changyeol Yun (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Boyoung Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Changki Kim (Renewable Energy Big Data Laboratory, Korea Institute of Energy Research) ;
  • Hyungoo Kim (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Yongheack Kang (Renewable Energy Institute, Korea Institute of Energy Research) ;
  • Yongil Kim (Department of Civil & Emvironmental Engineering, Seoul National University)
  • Received : 2024.03.08
  • Accepted : 2024.03.15
  • Published : 2024.03.25
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Abstract

The Typical Meteorological Year (TMY) dataset compiles 12 months of data that best represent long-term climate patterns, focusing on global horizontal irradiance and other weather-related variables. However, the irradiance measured on the plane of the array (POA) shows certain distinct distribution characteristics compared with the irradiance in the TMY dataset, and this may introduce some biases. Our research recalculated POA irradiance using both the Isotropic and DIRINT models, generating an updated dataset 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 in irradiance distribution patterns. This research aims to inform stakeholders about accurate use of TMY datasets in potential decision-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.

Keywords

Acknowledgement

본 연구는 2023년도 산업통상자원부의 재원으로 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구과제 입니다(C4-4334).

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