The Refueling Station Sitting of the HFCV Transportation System: A Programming Model Solution

Abstract:

One of the main barriers to implementing hydrogen for widespread use in HFCV is the high initial cost of infrastructure. Efficiently allocating resources becomes primary importance. This paper focus on the station siting model based on the assumptions of no competition and two decision-making participants. It optimizes the infrastructure of stations built, both with respect to where the customers are and also with cost of delivery distance taken into account in double-leveled programming method. It takes profit of both the programming department and the consumer into consider, the route arrangement’s impact to cost is also being considered. At last, a simple case is enacted to show the applying of hydrogen refueling station siting model. The result proved that the model brings forward is availability.

• Periodical: Advanced Materials Research (Volumes 524-527)
• Pages: 3224-3228
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.524-527.3224
• Online since: May 2012
• Authors: Tao Ma, Jian Wang, Ming Qi Chen, Ping Ma
• Keywords: Double-Leveled Programming, Hydrogen Station, Station Siting Model

References

[1] Information on http://www.eia.doe.gov/oiaf/ieo/pdf/0484(2005).pdf

[2] J. Hetland and G. Mulder: International Journal of Hydrogen Energy, Vol. 32 (2007), p.736–747.

[3] M. Nishibori, W. Shin, N. Izu, T. Itoh, I. Matsubara, S. Yasuda and S. Ohtani: International Journal of Hydrogen Energy, Vol 34 (2009), pp.2834-2841.

DOI: 10.1016/j.ijhydene.2009.01.027

[4] A. Gromis: An overview of hydrogen station and systems interface, Proceedings of the ASME Pressure Vessels and Piping Conference 2005, Vol 7, pp.651-651.

[5] M. Tajima, K. Imou, S. Yokoyama: Estimation Method for the Construction of Hydrogen Society with Various Biomass Resources in Japan-Project of Cost Reductions in Biomass Transport and Feasibility for Hydrogen Station with Biomass. PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, 2007, VOL 22, pp.533-537 .

[6] ZH.Y. Li, X.M. Pan and J.X. Ma: International Journal of Hydrogen Energy, Vol 35 (2010), pp.6822-6829.

[7] ZH Y. Li, X.M. Pan and J.X. Ma: International Journal of Hydrogen Energy, Vol 36 (2011), pp.4079-4086.

[8] ZH Y. Li, X.M. Pan and J.X. Ma: International Journal of Hydrogen Energy, Vol 35 (2010), pp.1515-1521.

[9] J.Michalski, U.Bunger and C.Stiller: International Journal of Hydrogen Energy, Vol 36 (2011), pp.8152-8157.

[10] R. Bapna and L.S. Thakur et al: European Journal of Operational Research, Vol 142 (3) (2002), pp.480-496.

[11] Z. Guan and A.B. Philpott: International Journal of Production Economics, Vol 134 (2011), pp.289-299.

[12] G. Andreatta, P. Dell'Olmo and G. Lulli: European Journal of Operational Research, Vol 215 (2011), pp.697-704.

[13] P. Date, A. Canepa and M. Abdel-Jawad: European Journal of Operational Research, Vol 214 (2011), pp.749-758.

[14] H. Kucukaydin, N. Aras and I.K. Altinel: European Journal of Operational Research, Vol 208 (2011), pp.206-220.