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Enhance a resilience power systems for hospitals in order to disaster

Research Project

Project/Area Number 21K04559
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 25010:Social systems engineering-related
Research InstitutionNagasaki Institute of Applied Science

Principal Investigator

Matsui Nobumasa  長崎総合科学大学, 工学研究科, 教授 (90759797)

Co-Investigator(Kenkyū-buntansha) 田中 雅晴  長崎総合科学大学, 総合情報学部, 准教授 (00543894)
水野 裕志  大阪電気通信大学, 医療健康科学部, 准教授 (30591234)
Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2023: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2022: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2021: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Keywords電力管理 / 災害復旧 / 電力システムモデル / 負荷予測 / 太陽光発電出力予測 / エネルギーマネジメント
Outline of Research at the Start

災害による長期停電によって、電力安定供給確保のためのインフラのレジリエンス(早期復旧)強化の重要性が再認識されている。本研究は、人工透析施設の非常用発電機、太陽光発電設備および蓄電システムを用いて、平常時の経済運用と非常時の電源の早期復旧の両立を目指すものである。平常時の経済運用だけでなく、発電設備の保守やメンテナンスだけでなくリプレースを電力の容量市場に参入して計画できる可能性を秘めており、持続可能な電力システムの構築につながるものである。このようなエネルギー分野の動向から見ても、社会実装への加速が期待できる本研究の意義は大きい。

Outline of Final Research Achievements

This research project aims to reduce the impact of long-term power outages at dialysis clinics due to disasters. Since approximately 40,000 dialysis patient deaths are reported at dialysis clinics per year, the social significance is very large. In this research, the emergency generators at dialysis clinics are treated as virtual power plants. A method was developed to make the power plants compatible with the demand response required by power companies. As a result, the effectiveness of a sustainable power system operation method that takes disasters into account and can respond to early recovery was demonstrated in simulation.

Academic Significance and Societal Importance of the Research Achievements

本研究課題で開発した持続可能な電力システムは、非常時の早期復旧と平常時の経済運用の両立を実現させる運用手法である。日本透析医学会による2018年の統計調査の対象となった約4,500の人工析施設だけでも、その総電力需要は30万kWから50万kWもあり、火力発電所1機分に相当するため、研究成果の社会実装への展開が大きく期待できる。

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (21 results)

All 2023 2022 2021 Other

All Journal Article (3 results) (of which Peer Reviewed: 3 results) Presentation (15 results) (of which Int'l Joint Research: 5 results) Remarks (3 results)

  • [Journal Article] A Forecasting Method of Peak-Cut of Power Demand Using LSTM at A Clinic2023

    • Author(s)
      Inagata Tomoya、Mizuno Yuji、Matsunaga Keita、Kurokawa Fujio、Tanaka Masaharu、Matsui Nobumasa
    • Journal Title

      12th IEEE international conference on Renewable Energy Research and Application (ICRERA)

      Volume: 1 Pages: 309-314

    • DOI

      10.1109/icrera59003.2023.10269447

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] An Improvement of Power Demand Prediction Method using Weather Information and Machine Learning: A Case of a Clinic in Japan (II)2023

    • Author(s)
      Inagata Tomoya、Matsunaga Keita、Mizuno Yuji、Kurokawa Fujio、Tanaka Masaharu、Matsui Nobumasa
    • Journal Title

      11th IEEE International Conference on Smart Grid (icSmartGrid), Paris, France

      Volume: 1 Pages: 344-349

    • DOI

      10.1109/icsmartgrid58556.2023.10170940

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] New Sustainable Operation Method for a Power Grid without an Energy Storage System: A Case Study of a Hospital in Japan2022

    • Author(s)
      Yuji Mizuno, Masaharu Tanaka, Yoshito Tanaka, Fujio Kurokawa and Nobumasa Matsui
    • Journal Title

      International Journal of Renewable Energy Research (IJRER)

      Volume: vol.12, no. 3 Pages: 1289-1300

    • Related Report
      2022 Research-status Report
    • Peer Reviewed
  • [Presentation] A Forecasting Method of Peak-Cut of Power Demand using LSTM at A Clinic2023

    • Author(s)
      Yuji Mizuno
    • Organizer
      12th IEEE international conference on Renewable Energy Research and Application (ICRERA)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Improvement of Power Demand Prediction Method using Weather Information and Machine Learning: A Case of a Clinic in Japan (II)2023

    • Author(s)
      Tomoya Inagata
    • Organizer
      11th IEEE International Conference on Smart Grid (icSmartGrid), Paris, France
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 気象情報と機械学習を用いた電力需要予測の精度向上手法の提案2023

    • Author(s)
      稲形僚也
    • Organizer
      電気学会
    • Related Report
      2023 Annual Research Report
  • [Presentation] クリニックの電力需要の自己相関性の検討2023

    • Author(s)
      松永啓太
    • Organizer
      電気学会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 電力需要の自己相関性を用いた電力需要予測手法2023

    • Author(s)
      稲形僚也
    • Organizer
      電気・情報関係学会九州支部連合大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] クリニックの電力需要と外気温の相関性の検討2023

    • Author(s)
      松永啓太
    • Organizer
      電子情報通信学会九州支部学生会講演会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Improvement of Modelling for an Optimal Facility Design Using Renewable Energy in a Clinic2022

    • Author(s)
      Yuji Mizuno, Masaharu Tanaka, Yoshito Tanaka, Fujio Kurokawa and Nobumasa Matsui
    • Organizer
      International Conference on Renewable Energy Research and Application (ICRERA)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] A Prediction of Power Demand using Weather Forecasting and Machine Learning: A Case of a Clinic in Japan2022

    • Author(s)
      Yuji Mizuno, Masaharu Tanaka, Yoshito Tanaka, Fujio Kurokawa and Nobumasa Matsui
    • Organizer
      International conference on Smart Grid (icSmartGrid)
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] 地域のクリニックの消費電力と天候相関性の検討2022

    • Author(s)
      杉屋勇太, 水野裕志, 田中雅晴, 梶原一宏, 松井信正
    • Organizer
      電気・情報関係学会九州支部連合大会
    • Related Report
      2022 Research-status Report
  • [Presentation] 需要家エネルギーマネジメント技術動向2022

    • Author(s)
      小坂忠義, 松井信正, 西村忠史
    • Organizer
      電気学会産業応用部門大会
    • Related Report
      2022 Research-status Report
  • [Presentation] 民生分野の創エネ,蓄エネ設備および制御技術動向(Part-Ⅱ)2022

    • Author(s)
      松井信正, 谷内利明, 金井康通, 服部慎一郎, 和泉晃浩, 大津智, 酢山明弘, 千坂光陽
    • Organizer
      電気学会産業応用部門大会
    • Related Report
      2022 Research-status Report
  • [Presentation] 府県天気予報と機械学習を用いた地域新電力の電力需要予測2022

    • Author(s)
      松井信正, 木村誠一郎
    • Organizer
      エネルギー・資源学会, 第38回エネルギーシステム・経済・環境コンファレンス
    • Related Report
      2021 Research-status Report
  • [Presentation] A Modelling for an Optimum Facility Design in a Clinic as a Smart Grid2021

    • Author(s)
      Yuji Mizuno, Yoshito Tanaka, Fujio Kurokawa and Nobumasa Matsui
    • Organizer
      International conference on SmartGrid (icSmartGrid)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] PV予測のための天気予報を用いた分類器の比較2021

    • Author(s)
      杉屋勇太, 梶原一宏, 水野裕志, 黒川不二雄, 松井信正
    • Organizer
      電気学会, 産業応用部門大会
    • Related Report
      2021 Research-status Report
  • [Presentation] 天気予報を用いたPV出力予測のための前処理方法2021

    • Author(s)
      杉屋勇太, 梶原一宏, 水野裕志, 黒川不二雄, 松井信正
    • Organizer
      電子情報通信学会, 第29回九州支部(学生講演会)
    • Related Report
      2021 Research-status Report
  • [Remarks] researchmap

    • URL

      https://researchmap.jp/Matsui_Nobumasa

    • Related Report
      2022 Research-status Report
  • [Remarks] 長崎総合科学大学新技術創成研究所

    • URL

      https://www.iist.nias.ac.jp/#gsc.tab=0

    • Related Report
      2022 Research-status Report
  • [Remarks] スマートエレクトロニクス研究室

    • URL

      https://edison.elc.nias.ac.jp/smart-elec/

    • Related Report
      2022 Research-status Report

URL: 

Published: 2021-04-28   Modified: 2025-01-30  

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