A fundamental study on spectrum center estimation of solar spectral irradiation by the statistical pattern recognition

Aya Iijima, Kazumi Suzuki, Shinji Wakao, Norihiro Kawasaki, Akira Usami

Research output: Contribution to journalArticle

Abstract

With a background of environmental problems and energy issues, it is expected that PV systems will be introduced rapidly and connected with power grids on a large scale in the future. For this reason, the concern to which PV power generation will affect supply and demand adjustment in electric power in the future arises and the technique of correctly grasping the PV power generation becomes increasingly important. The PV power generation depends on solar irradiance, temperature of a module and solar spectral irradiance. Solar spectral irradiance is distribution of the strength of the light for every wavelength. As the spectrum sensitivity of solar cell depends on kind of solar cell, it becomes important for exact grasp of PV power generation. Especially the preparation of solar spectral irradiance is, however, not easy because the observational instrument of solar spectral irradiance is expensive. With this background, in this paper, we propose a new method based on statistical pattern recognition for estimating the spectrum center which is representative index of solar spectral irradiance. Some numerical examples obtained by the proposed method are also presented.

Original languageEnglish
Pages (from-to)189-196
Number of pages8
JournalIEEJ Transactions on Power and Energy
Volume132
Issue number2
DOIs
Publication statusPublished - 2012 Feb 10

Keywords

  • Solar spectral irradiation
  • Spectrum center
  • Statistical pattern recognition

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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