JpGU-AGU Joint Meeting 2017

講演情報

[JJ] ポスター発表

セッション記号 H (地球人間圏科学) » H-RE 応用地質学・資源エネルギー利用

[H-RE18] [JJ] 再生可能エネルギーの効果的な利用に向けた地球科学データの活用

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:大竹 秀明(国立研究開発法人 産業技術総合研究所 太陽光発電研究センター)、宇野 史睦(産業技術総合研究所)、島田 照久(弘前大学大学院理工学研究科)、野原 大輔(電力中央研究所)

[HRE18-P02] 全天空カメラ画像からの空割合時系列データの抽出

*園田 哲平1小郷原 一智1畑中 裕司1砂山 渡1 (1.滋賀県立大学)

キーワード:太陽光発電、全天空画像

Prediction of photovoltaic output is necessary to efficiently control photovoltaic systems. In order to make a prediction about the output, it is necessary to predict the variations of the sky conditions.Therefore, the purpose of this study is to prepare a system that can always continue to take sky images using an omnidirectional camera, and to develop algorithms for calculating the time series of the sky ratio.First, we take sky images once every minute by the camera and store them as JPEG images. Next, we train a classifier using R and B of some images. Finally, we calculate the sky ratio of images, which we did not use for the training, using the classifier.F-measure in the cases of cloudy day is >0.9 and that in the cases of clear day is approximately 0.9 at daytime. Although F-measure tends to decrease drastically in the images with dark sky at dawn and evening, we are able to extract variations in sky ratio over the observation period, especially accurately in cloudy and mostly sunny days.