Evaluation of Safety Measures of a Hydrogen Fueling Station Using Physical Modeling

Junji Sakamoto, Hitoshi Misono, Jo Nakayama, Naoya Kasai, Tadahiro Shibutani and Atsumi Miyake
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Junji Sakamoto: Graduate School of Natural Science and Technology, Okayama University, 3-1-1 Tshushimanaka, Kita-ku, Okayama 700-8530, Japan
Hitoshi Misono: Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan
Jo Nakayama: Division for Environment, Health and Safety, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan
Naoya Kasai: Faculty of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan
Tadahiro Shibutani: Center for Creation of Symbiosis Society with Risk, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan
Atsumi Miyake: Institute of Advanced Sciences, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama, Kanagawa 240-8501, Japan

Sustainability, 2018, vol. 10, issue 11, 1-16

Abstract: Hydrogen fueling stations are essential for operating fuel cell vehicles. If multiple safety measures in a hydrogen fueling station fail simultaneously, it could lead to severe consequences. To analyze the risk of such a situation, we developed a physical model of a hydrogen fueling station, which, when using, the temperature, pressure, and flow rate of hydrogen could be simulated under normal and abnormal operating states. The physical model was validated by comparing the analytical results with the experimental results of an actual hydrogen fueling station. By combining the physical model with a statistical method, we evaluated the significance of the safety measures in the event wherein multiple safety measures fail simultaneously. We determined the combinations of failures of safety measures that could lead to accidents, and suggested a measure for preventing and mitigating the accident scenario.

Keywords: risk analysis; physical modeling; hydrogen fueling station; hydrogen release behavior; response surface methodology; design of experiments (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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