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http://dx.doi.org/10.9713/kcer.2020.58.4.573

A Machine Learning based Methodology for Selecting Optimal Location of Hydrogen Refueling Stations  

Kim, Soo Hwan (Division of Creative Convergence Engineering, Dongguk University)
Ryu, Jun-Hyung (Division of Creative Convergence Engineering, Dongguk University)
Publication Information
Korean Chemical Engineering Research / v.58, no.4, 2020 , pp. 573-580 More about this Journal
Abstract
Hydrogen emerged as a sustainable transport energy source. To increase hydrogen utilization, hydrogen refueling stations must be available in many places. However, this requires large-scale financial investment. This paper proposed a methodology for selecting the optimal location to maximize the use of hydrogen charging stations. The location of gas stations and natural gas charging stations, which are competing energy sources, was first considered, and the expected charging demand of hydrogen cars was calculated by further reflecting data such as population, number of registered vehicles, etc. Using k-medoids clustering, one of the machine learning techniques, the optimal location of hydrogen charging stations to meet demand was calculated. The applicability of the proposed method was illustrated in a numerical case of Seoul. Data-based methods, such as this methodology, could contribute to constructing efficient hydrogen economic systems by increasing the speed of hydrogen distribution in the future.
Keywords
Hydrogen refueling station; Machine learning; Location selecting; k-medoids clustering;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Sharaf, Z., "An Overview of Fuel Cell Technology: Fundamentals and Applications," Renew. Sust. Energ. Rev., 32, 810-853(2014).   DOI
2 Kim, Y. P., "Air Pollution in Seoul Caused by Aerosols," J. Korean Soc. Atmos., 22(5), 535-553(2006).
3 Patnaik, P., "A comprehensive Guide to the Hazardous Properties of Chemical Substances," Wiley-Interscience, 402(2007).
4 Pandian, M. S., "Efficiency and Economics Analysis of Proton Exchange Membrane Fuel Cell," 2010 Conference Proceedings IPEC, Singapore, 875-880(2010).
5 H2Korea, "A Study on the Establishment of Hydrogen Fuel Price and Supply Management for Transportation," MTI(2017).
6 EM Solution Co., LTD. , "Review of Hydrogen Station Construction Regulations," (2018).
7 Garfinkel, R. S. and Nemhauser, G. L., "Integer Programming," Wiley(1972).
8 Church, R., "The Maximal Covering Location Problem," Rsai, 32(1), 101-118(1974).
9 Hakimi, S. L., "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Oper. Res., 12 (3), 450-459(1964).   DOI
10 Kang, J. E. and Recker, W., "Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Dividual Vehicles," Transp. Sci., 49(4), (2014).
11 Nicholas, M. A., Handy, S. L. and Sperling, D., "Using Geographic Information Systes to Evaluate Siting and Networks of Hydrogen Stations," Transp Res Rec, 1880(1), 126-134(2004).   DOI
12 Church, R. and Velle, C. R., "The Maximal Covering Location Problem," Pap. Reg. Sci., 32(1), 101-118(1974).   DOI
13 Frade, et al., "Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal," Transp Res Rec., 158, 6582-6588(2011).
14 Hodgson, "A Flow-Capturing Location-Allocation Model," Geogr. Anal., 22(3), 270-279(1990).   DOI
15 Hodgson et al., "Applying the Flow-capturing Location-allocation Model to An Authentic Network: Edmonton, Canda," Eur. J. Oper. Res., 90(30), 427-443(1996).   DOI
16 Lim, K., "The Flow-refueling Location Problem for Alternativefuel Vehicles," Socio-Econ Plan Sci., 39(2), 125-145(2005).   DOI
17 Kuby, et al., "Optimization of Hydrogen Stations in Florida Using the Flow-refueling Location Model," Int. J. Hydrogen Energy, 34(15), 6045-6064(2009).   DOI
18 Margaret, H. D., "Data Mining, Introductory and Advanced Topics," Prentice Hall(2002).
19 Steinhaus, H., "Sur la Division Des Corp Materiels en Parties," Bull. Acad. Polon. Sci. IV (C1.III), 801-804(1956).
20 Kaufmann, L. and Rousseeuw, P., "Clustering by Means of Medoids," Data Analysis based on the L1-Norm and Related Methods. 405-416(1987).
21 MTI, "Roadmap to the Revitalization of the Hydrogen Economy," (2019).
22 Park, J. W., Hun, Y. S., "A Study on Site to Build Hydrogen Multi Energy Filling Station in Domestic LPG Station," Trans. Korean Hydrog. New Energy Soc., 28(6), 642-648(2017).   DOI
23 Transportation Safety Authority, "Driving Distance Statistics," 2014-2018(2019).
24 Melendez, M., "A. Milbrandt, Geographically-based Hydrogen Demand and Infrastructure Deployment Scenario," Nrel(2008).