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http://dx.doi.org/10.7842/kigas.2021.25.3.16

Forecasting of Inspection Demand for Pressure Vessels in Hydrogen Fuel Cell Electric Vehicle using Bass Diffusion Model  

Kim, Ji-Yu (Dept. of Safety Engineering, Korea National University of Transportation)
Kim, Eui-Soo (Dept. of Safety Engineering, Korea National University of Transportation)
Publication Information
Journal of the Korean Institute of Gas / v.25, no.3, 2021 , pp. 16-26 More about this Journal
Abstract
The global warming problem has arose, the supply eco-friendly vehicles such as HFCEVs is increasing around world and Korea is fully supporting subsidies, tax cut to form an initial market for HFCEVs. The key to the safety of HFCEVs is pressure vessels stored hydrogen, and although these pressure vessels must be inspection regularly, the existing inspection stations are insufficient to meet the demand for inspection. Therefore, it is important to establishment of pressure vessels inspection station for safety management of HFCEVs. In this study, it estimates innovation coefficient, imitation coefficient in Bass model by using electric vehicle sales data, and foretasted the supply of HFCEVs by region & the demand for inspection by region using the Bass diffusion model. As a result, the inspection demand for pressure vessels in HFCEVs in 2040 was 690,759 units, and it was confirmed 191 new inspection stations and 1,124 inspectors were needed to prepare for this.
Keywords
bass diffusion model; hydrogen fuel cell electric vehicle; pressure vessel inspection; demand forecasting;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Kim, E. S., "Analysis on Actual Condition of Usage and Safety Management for CNG Pressure Vessel in Bus", Journal of the Korean Society of Safety, 34(4), 6-14, (2019)
2 Kang, S. K., "A study of jet dispersion and jet-fire characteristics for safety distance of the hydrogen refueling station", Journal of the Korean Institute of Gas, 23(6), 74-80, (2020)
3 Kim, E. S., "A Forensic Engineering Study on Bursting Accident of Composite Pressure Vessl in CNG Bus", Journal of the Korean Society of Safety, 23(5), 15-21, (2008)
4 Jeon, S., Y., "Hybrid & Electric Vehicle Technology and its Market Feasibility", Doctoral dissertation, Massachusetts Institute of Technology, (2010)
5 Chae, A., R., Kim, W., K., and Kim, S., H., Kim, B., J., "A Demand forecasting for Electric vehicles using Choice Based Multigeneration Diffusion Model", The Journal of the korea institute of itelligent transport systems, 10(5), 113-123, (2011)
6 Mo. J., Y., Kim, S., H., "Domestic Electric Vehicle demand forecast based on Bass application model", The Journal of Business and Economics, 33(3), 161-183, (2017)
7 Bass, F., M., "Forecasting Sales of New Contingent Products:An Application to the Compact Disc Market", Journal of Product Innovation Management, 4(4), 243-255, (1987)   DOI
8 Chae, H., S., Chung, J., W., and Kim, J., D., "Demand Forecast for Electric Vehicles in korea Using a Bass Diffusion Model", Journal of Environmental Policy and Administration 24(1), 109-132, (2016)   DOI
9 Kim, T. O., Kim, Y. S., and Park, K. S,, "Suggestion for Safety Improvement of Compressed Natural Gas Vehicle", Journal of the Korean Institute of Gas, 16(4), 1-7, (2012)   DOI
10 Bass, F., M., "A New Product Growth Model for Consumer Durables", Mana-gement Science, 15(5), 215-227, (1969)   DOI