News Release

Quantitative evaluation method for energy resilience in disasters

Peer-Reviewed Publication

University of Tsukuba

Tsukuba, Japan—Global warming has driven the introduction of distributed renewable energy systems such as solar power generations. Moreover, the frequency of large-scale power outages owing to natural disasters and torrential rains is increasing, thereby necessitating the development of disaster-resistant energy systems. Recently, the economics and resilience of solar power generation and battery storage systems have been widely studied; however, studies on the evaluation of energy system resilience at the building scale (energy resilience) are inadequate. Because energy resilience has diverse aspects, such as the duration, power, and frequency of outages, a comprehensive and quantitative evaluation requires the adoption of multiple indicators.

In this study, based on several resilience indicators, the researchers developed a method to quantitatively evaluate energy resilience by simulating power outage scenarios in positive energy buildings (i.e., buildings with a positive difference between power generation and consumption) equipped with solar power generators and storage batteries. Further, the impact of weather on resilience was analyzed, and they quantitatively revealed that energy resilience is highest when the power outage coincides with daylight hours.

These results indicate that, in assessing energy resilience, a combination of multiple indicators could be used to identify and compare the electricity supply and demand conditions during a disaster in detail. The proposed method is expected to be helpful in the design of future energy systems and disaster countermeasures.

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This research was supported by JSPS KAKENHI Grant Number JP20H02677.

 

Original Paper

Title of original paper:
Assessment Methodology for the Resilience of Energy Systems in Positive Energy Buildings

Journal:
e-Prime - Advances in Electrical Engineering, Electronics and Energy

DOI:
10.1016/j.prime.2025.100908

Correspondence

Assistant Professor AKIMOTO, Yutaro
Institute of Systems and Information Engineering, University of Tsukuba

Related Link

Institute of Systems and Information Engineering


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