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エネルギー供給システムの 設計および運用の階層的関係を考慮した最適化 (多目的最適設計へのモデル縮約の適用)

Optimization of Energy Supply Systems in Consideration of Hierarchical Relationship Between Design and Operation (Application of Model Reduction to Multiobjective Optimal Design)

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  • To attain the highest performance of energy supply systems, it is necessary to determine design specifications optimally in consideration of operational strategies corresponding to seasonal and hourly variations in energy demands. Mixed-integer linear programming (MILP) methods have been applied widely to such optimal design problems. A hierarchical MILP method has been proposed to solve the problems very efficiently. In addition, by utilizing features of the hierarchical MILP method, a method of reducing model by clustering periods based on the optimal operational strategies of equipment has been proposed to search design solution candidates efficiently in the relaxed optimal design problem at the upper level. In this paper, these methods are applied to the multiobjective optimal design of a cogeneration system by considering the annual total cost and primary energy consumption as the objective functions to be minimized. Through a case study, it turns out that the model reduction by the operation-based time-period clustering is effective in terms of the computation efficiency when importance is given to the first objective function, while it is not when importance is given to the second objective function.

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Author:Kotaro Takeuchi, Ryohei Yokoyama, Yuji Shinano, Tetsuya Wakui
Document Type:Article
Parent Title (Japanese):エネルギー・資源学会第36回エネルギーシステム・経済・環境コンファレンス講演論文集
First Page:724
Last Page:729
Year of first publication:2020
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