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  1. 学術雑誌掲載済論文
  2. 洋雑誌

Compound Microgrid Installation Operation Planning of a PEFC and Photovoltaics with Prediction of Electricity Production Using GA and Numerical Weather Information

https://kitami-it.repo.nii.ac.jp/records/8238
da9bfa34-3551-4da2-a410-2de0fd7dadcd
名前 / ファイル ライセンス アクション
No.10_Paper_obara_June_09.pdf No.10_Paper_obara_June_09.pdf (450.9 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2016-07-04
タイトル
言語 en
タイトル Compound Microgrid Installation Operation Planning of a PEFC and Photovoltaics with Prediction of Electricity Production Using GA and Numerical Weather Information
言語
言語 eng
キーワード
主題Scheme Other
主題 PEFC
キーワード
主題Scheme Other
主題 Compound microgrid
キーワード
主題Scheme Other
主題 Operation planning
キーワード
主題Scheme Other
主題 Photovoltaics
キーワード
主題Scheme Other
主題 Genetic algorithm
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 Obara, Shin-ya

× Obara, Shin-ya

WEKO 43180

en Obara, Shin-ya

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Abeer, Galal El-Sayed

× Abeer, Galal El-Sayed

WEKO 43181

en Abeer, Galal El-Sayed

Search repository
著者別名
姓名
姓名 小原, 伸哉
言語 ja
抄録
内容記述タイプ Abstract
内容記述 A fuel cell microgrid with photovoltaics effectively reduces greenhouse gas emission. A system operation optimization technique with photovoltaics and unstable power is important. In this paper, the optimal operation algorithm of this compound microgrid is developed using numerical weather information (NWI) that is freely available. A GA (genetic algorithm) was developed to minimize system fuel consumption. Furthermore, the relation between the NWI error characteristics and the operation results of the system was clarified. As a result, the optimized operation algorithm using NWI reduced the energy cost of the system.
書誌情報 International Journal of Hydrogen Energy

巻 34, 号 19, p. 8213-8222, 発行日 2009
DOI
関連識別子
識別子タイプ DOI
関連識別子 http://doi.org/10.1016/j.ijhydene.2009.08.006
権利
権利情報 c2009 Elsevier
出版者
出版者 Elsevier
著者版フラグ
値 author
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
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