論文

査読有り
2018年12月

Evaluating uncertainty in accident rate estimation at hydrogen refueling station using time correlation model

International Journal of Hydrogen Energy
  • Mahesh Kodoth
  • ,
  • Shu Aoyama
  • ,
  • Junji Sakamoto
  • ,
  • Naoya Kasai
  • ,
  • Tadahiro Shibutani
  • ,
  • Atsumi Miyake

43
52
開始ページ
23409
終了ページ
23417
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.ijhydene.2018.10.175

© 2018 Hydrogen Energy Publications LLC Hydrogen, as a future energy carrier, is receiving a significant amount of attention in Japan. From the viewpoint of safety, risk evaluation is required in order to increase the number of hydrogen refueling stations (HRSs) implemented in Japan. Collecting data about accidents in the past will provide a hint to understand the trend in the possibility of accidents occurrence by identifying its operation time However, in new technology; accident rate estimation can have a high degree of uncertainty due to absence of major accident direct data in the late operational period. The uncertainty in the estimation is proportional to the data unavailability, which increases over long operation period due to decrease in number of stations. In this paper, a suitable time correlation model is adopted in the estimation to reflect lack (due to the limited operation period of HRS) or abundance of accident data, which is not well supported by conventional approaches. The model adopted in this paper shows that the uncertainty in the estimation increases when the operation time is long owing to the decreasing data.

リンク情報
DOI
https://doi.org/10.1016/j.ijhydene.2018.10.175
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057039050&origin=inward
ID情報
  • DOI : 10.1016/j.ijhydene.2018.10.175
  • ISSN : 0360-3199
  • SCOPUS ID : 85057039050

エクスポート
BibTeX RIS