High Speed Calculation Method Using Convolution for Calculating Normal and Disaster Costs of Buildings with Energy Generation and Storage Facilities

Author:

Kinoshita Sota1,Yamaguchi Nobuyuki1,Kimura Yuta1,Sato Fuyuki2,Otani Shinichiro2

Affiliation:

1. Tokyo University of Science

2. Information Technology R&D Center, Mitsubishi Electric Corporation

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Reference13 articles.

1. (1) K. Yuasa, N. Yamaguchi, F. Sato, and S. Otani: “Estimation of Probability Distribution of Disaster Cost for Office Buildings with Photovoltaic Power Generation and Storage Batteries”, Smart Facility Study Group, SMF-21-024 (2021) (in Japanese)

2. 湯浅一弘・山口順之・佐藤冬樹・大谷晋一郎:「太陽光発電と蓄電池を有するオフィスビルの災害時コストの確率分布の推計」, スマートファシリティ研究会, SMF-21-024 (2021)

3. (2) S. Kinoshita, N. Yamaguchi, F. Sato, and S. Otani: “Empirical Analysis of the Reduction of Conditions in Monte Carlo Method by Evaluating the Installation and Operating Costs of Distributed Energy Creation in Office Buildings”, Smart Facility Study Group, SMF-21-051 (2021) (in Japanese)

4. 木下創太・山口順之・佐藤冬樹・大谷晋一郎:「オフィスビルの創・蓄エネ設備導入・運用コスト評価におけるモンテカルロ法の条件削減の実証分析」, スマートファシリティ研究会, SMF-21-051 (2021)

5. (3) B. Pickering and R. Choudhary: “Quantifying resilience in energy systems with out-of-sample testing”, Applied Energy, Vol. 285, 116465 (2021)

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