TY - JOUR
T1 - Evaluating uncertainty in accident rate estimation at hydrogen refueling station using time correlation model
AU - Kodoth, Mahesh
AU - Aoyama, Shu
AU - Sakamoto, Junji
AU - Kasai, Naoya
AU - Shibutani, Tadahiro
AU - Miyake, Atsumi
N1 - Funding Information:
This research was supported by the Council for Science, Technology and Innovation (CSTI) through its Cross-ministerial Strategic Innovation Promotion Program (SIP) , “Energy carrier” (Funding agency: Japan Science and Technology Agency (JST) ).
Publisher Copyright:
© 2018 Hydrogen Energy Publications LLC
PY - 2018/12/27
Y1 - 2018/12/27
N2 - 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.
AB - 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.
KW - Accident rate
KW - Hydrogen refueling station
KW - Time correlation model
KW - Uncertainty analysis
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U2 - 10.1016/j.ijhydene.2018.10.175
DO - 10.1016/j.ijhydene.2018.10.175
M3 - Article
AN - SCOPUS:85057039050
SN - 0360-3199
VL - 43
SP - 23409
EP - 23417
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
IS - 52
ER -
