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Numerical Analysis of the Optimal Distribution of Hydrogen Filling Stations

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Book cover Hydrogen Energy Engineering

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

This chapter describes possible numerical analysis for optimizing the distribution of hydrogen filling station. An algorithm is described to simulate the optimal geographical distribution of new hydrogen stations. A case study to specify possible locations of additional hydrogen filling stations in Japan is described, using statistical data on traffic flow, local employee numbers, and population in each region.

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References

  1. Agency for Natural Resources and Energy (2014) Ministry of economy. Trade and Industry, Strategic Road Map for Hydrogen and Fuel Cells, Japan. http://www.meti.go.jp/english/press/2014/0624_04.html. Accessed 27 Sep 2015

  2. Agency for Natural Resources and Energy (2014) Ministry of economy. Trade and Industry, Strategic Energy Plan, Japan. http://www.enecho.meti.go.jp/en/category/others/basic_plan/pdf/4th_strategic_energy_plan.pdf. Accessed 27 Sept 2015

  3. Stepheno-Romero SD, Brown TM, Kang JE, Recker WW, Samuelsen GS (2010) Systematic planning to optimize investments in hydrogen infrastructure deployment. Intl J Hydrog Energy 35:4652–4667

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  4. Brey JJ, Carazo AF, Brey R (2010) Using AHP and binary integer programming to optimize the initial distribution of hydrogen infrastructures in Andalusia. Intl J Hydrog Energy 37:5372–5384

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  5. Toyota Motor Corporation (2015) MIRAI homepage. https://ssl.toyota.com/mirai/fcv.html. Accessed 27 Sep 2015

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Correspondence to Yuya Tachikawa .

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© 2016 Springer Japan

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Tachikawa, Y., Sugiura, T., Shiga, M., Chiyo, R., Sasaki, K. (2016). Numerical Analysis of the Optimal Distribution of Hydrogen Filling Stations. In: Sasaki, K., Li, HW., Hayashi, A., Yamabe, J., Ogura, T., Lyth, S. (eds) Hydrogen Energy Engineering. Green Energy and Technology. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56042-5_43

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  • DOI: https://doi.org/10.1007/978-4-431-56042-5_43

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-56040-1

  • Online ISBN: 978-4-431-56042-5

  • eBook Packages: EnergyEnergy (R0)

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