Multi-objective optimization to determine installation capacity of distributed power generation equipment considering energy-resilience against disasters

Akane Uemichi, Masaaki Yagi, Ryo Oikawa, Yudai Yamasaki, Shigehiko Kaneko

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In 2017, the Mistry of Health, Labor, and Welfare in Japan added a requirement for domestic disaster base hospitals to install electric power generation equipment with a generation capacity at least 60% of usual demand for securing business continuity. In this study, we developed a multi-objective optimization tool for assisting the determination of the capacity of distributed generation equipment and contract plans considering energy-resiliency after a disaster. The selected objective functions are a total cost representing economy and environment, and an expected value of power shortage ratio after the catastrophe representing energy-resiliency. As a result, our developed tool could obtain the Pareto-optimal solutions for various size hospitals on the parameter plane of the two objective functions. As well as total costs, for all optimal solutions, the expected value of power shortage ratio under disaster situation resulted in less than 40% suggesting that the national requirement standard is satisfied. Then, the cluster analysis was carried out to grasp the tendency of optimal solutions. From the analysis of average value for each cluster, it is shown that the optimal introductory capacities of gas engine generators and storage batteries couple through the outage probabilities of gas supply. Furthermore, the optimal capacity of photovoltaic is much larger than the one assumed to install on the estimated rooftop area of the hospital building, which suggests that hospital can take an option to introduce more photovoltaics to an adjacent area if possible.

Original languageEnglish
Pages (from-to)6538-6543
Number of pages6
JournalEnergy Procedia
Volume158
DOIs
Publication statusPublished - 2019 Jan 1
Externally publishedYes
Event10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China
Duration: 2018 Aug 222018 Aug 25

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Distributed power generation
Multiobjective optimization
Disasters
Electric power generation
Gas engines
Gas supply
Cluster analysis
Outages
Costs
Health
Personnel
Industry

Keywords

  • Business continuity
  • Distributed power generation
  • Energy resiliency
  • Multi-objective optimization

ASJC Scopus subject areas

  • Energy(all)

Cite this

Multi-objective optimization to determine installation capacity of distributed power generation equipment considering energy-resilience against disasters. / Uemichi, Akane; Yagi, Masaaki; Oikawa, Ryo; Yamasaki, Yudai; Kaneko, Shigehiko.

In: Energy Procedia, Vol. 158, 01.01.2019, p. 6538-6543.

Research output: Contribution to journalConference article

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