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Study on method of electricity and heat storage planning based on energy demand and tidal flow velocity forecasts for a tidal microgrid
https://kitami-it.repo.nii.ac.jp/records/8245
https://kitami-it.repo.nii.ac.jp/records/824525b3ee10-d9eb-4532-bcfc-27cf1bd7bb82
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
No.18_paper_obara_Clean_version.pdf (1.8 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2016-07-04 | |||||
| タイトル | ||||||
| タイトル | Study on method of electricity and heat storage planning based on energy demand and tidal flow velocity forecasts for a tidal microgrid | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Local energy | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Tidal power generation | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Microgrid | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Energy storage | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Numerical simulation | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | 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× Morizane, Yuta× Jorge, Morel |
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| 著者別名 | ||||||
| 識別子Scheme | WEKO | |||||
| 識別子 | 44843 | |||||
| 識別子Scheme | KAKEN | |||||
| 識別子URI | https://nrid.nii.ac.jp/ja/nrid/1000010342437 | |||||
| 識別子 | 10342437 | |||||
| 姓名 | 小原, 伸哉 | |||||
| 言語 | ja | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | The rapid tidal current near a lake inlet is transformed into electrical energy with Darius-type hydraulic turbine generators. When the tidal power generation is insufficient, the stored excess electric power generated from midnight to early morning of a representative day is used. The balance of energy supply and demand for all sampling events in a representative day must be predicted very accurately in a system with energy storage. In this study, electric power and heat demand are forecasted on the basis of weather data obtained from the Internet, and the corresponding values are used to plan the storage of electricity and heat from midnight to early morning. The results of the case analysis show the influence of the economic efficiency of the heating system, the capacity of the tidal power generator, the prediction error of the tidal power generator, and the insulation efficiency (Q-value) on the energy cost. Optimization of the introduced simulation model was considered. The objective functions of optimization were minimization of operation cost and facilities cost of the simulation model. | |||||
| 書誌情報 |
en : Applied Energy 巻 111, p. 358-373, 発行日 2013 |
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| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | http://doi.org/10.1016/j.apenergy.2013.05.018 | |||||
| 権利 | ||||||
| 権利情報 | c2013 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 | |||||
