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Comparative Analysis on the Characteristic of Typical Meteorological Year Applying Principal Component Analysis

주성분분석에 의한 TMY 특성 비교분석

  • Kim, Shin Young (School of Electrical Engineering, Korea University, New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Kim, Chang Ki (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Kang, Yong Heack (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Yun, Chang Yeol (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research) ;
  • Jang, Gil Soo (School of Electrical Engineering, Korea University) ;
  • Kim, Hyun-Goo (New and Renewable Energy Resource & Policy Center, Korea Institute of Energy Research)
  • 김신영 (고려대학교 전기전자공학부, 한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 김창기 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 강용혁 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 윤창열 (한국에너지기술연구원 신재생에너지자원.정책센터) ;
  • 장길수 (고려대학교 전기전자공학부) ;
  • 김현구 (한국에너지기술연구원 신재생에너지자원.정책센터)
  • Received : 2019.03.29
  • Accepted : 2019.06.19
  • Published : 2019.06.30

Abstract

The reliable Typical Meteorological Year (TMY) data, sometimes called Test Reference Year (TRY) data, are necessary in the feasibility study of renewable energy installation as well as zero energy building. In Korea, there are available TMY data; TMY from Korea Institute of Energy Research (KIER), TRY from the Korean Solar Energy Society (KSES) and TRY from Passive House Institute Korea (PHIKO). This study aims at examining their characteristics by using Principle Component Analysis (PCA) at six ground observing stations. First step is to investigate the annual averages of meteorological elements from TMY data and their standard deviations. Then, PCA is done to find which principle components are derived from different TMY data. Temperature and solar irradiance are determined as the main principle component of TMY data produced by KIER and KSES at all stations whereas TRY data from PHIKO does not show similar result from those by KIER and KSES.

Keywords

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Fig. 1 The Concept of the TMY

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Fig. 2 The scree plot and variance of the TMY data from KIER in Daejeon

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Fig. 3 The scree plot and variance of the TRY data from PHIKO in Daejeon

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Fig. 4 The scree plot and variance explained of the TRY data from KSES in Daejeon

Table 1 The representative TMY data sets

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Table 2 The comparison of the TMY data between the 3 institutions 13-19)

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Table 3 The elements of the TMY data between the 3 institutions

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Table 4 The comparison of solar irradiance and meteorological elements between the 3 institutions

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Table 4 The comparison of solar irradiance and meteorological elements between the 3 institutions (Continued)

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Table 5 The PCA results of the TMY data of KIER

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Table 6 The PCA results of the TRY data of PHIKO

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Table 7 The PCA results of the TRY data of KSES

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  1. 신재생에너지 발전 출력 예측과 경제성 종합평가 기술개발 vol.39, pp.6, 2019, https://doi.org/10.7836/kses.2019.39.6.093