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タイトル
和文: 
英文:Stochastic Optimal Investment Strategy for Net-Zero Energy Houses 
著者
和文: Li Mengmou, 田中大地, A. Daniel Carnerero, 和佐泰明, 平田研二, Y Fujisaki, Y Ushifusa, 畑中健志.  
英文: Mengmou Li, Taichi Tanaka, A. Daniel Carnerero, Yasuaki Wasa, Kenji Hirata, Y Fujisaki, Y Ushifusa, Takeshi Hatanaka.  
言語 English 
掲載誌/書名
和文: 
英文:Special Issue on Integration and Control of Grid-Scale Battery Energy Storage Systems: Challenges and Opportunities, IET Renewable Power Generation 
巻, 号, ページ         pp. 1-12
出版年月 2024年3月 
出版者
和文: 
英文: 
会議名称
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英文: 
開催地
和文: 
英文: 
DOI https://doi.org/10.1049/rpg2.12981
アブストラクト In this research, Net-Zero Energy Houses (ZEHs) is investigated that harness regionally produced electricity from photovoltaic (PV) panels and fuel cells, integrating them into a local power system in pursuit of achieving carbon neutrality. This article examines the impact of electricity sharing among users who are working towards attaining ZEH status through the integration of PV panels and battery storage devices. Two potential scenarios are proposed: the first assumes that all users individually invest in storage devices, hence minimizing their costs on a local level without energy sharing; the second envisions cost minimization through the collective use of a shared storage device, managed by a central manager. These two scenarios are formulated as a stochastic convex optimization and a cooperative game, respectively. To tackle the stochastic challenges posed by multiple random variables, the Monte Carlo sample average approximation (SAA) is applied to obtain solvable deterministic convex problems. Last, to demonstrate the practical applicability of these models, the proposed scenarios are implemented in the Jono neighborhood in Kitakyushu, Japan.

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