A Mathematical Model on the Optimal Number of Hydrogen Stations With Respect to the Diffusion of Fuel Cell Vehicles

Honma, Yudai; Kurita, Osamu

doi:10.15807/jorsj.51.166

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…First, statistical distribution of replacement stations as found in Ref. [14] is unrealistic. A more realistic model is the one based on population density [15] which is supported by a much larger body of literature.…”

Section: Road Map and Distribution Modelsmentioning

confidence: 99%

On How Smart Cities Can Improve Social Utility of Their Citizens^|^apos; Commutes

Zhanikeev

2014

Journal of Information Processing

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Smart Cities are supposed to be the next generation of not only city infrastructure but also citizenship. Improving citizens' quality of life -referred to as social utility in this paper -should be one of the main targets of a smart city. Electric Vehicles (EVs) offer several new venues in this area. While today citizens are basically on their own when they buy a car while residing in a city, EVs in a smart city is a different topic entirely. Citizens shrink from purchasing EVs today mainly because of high cost and low availability of battery charging. With alternative battery ownership model and Vehicle-To-Home (V2H) systems, citizens can get much more from owning an EV in terms of social utility. This paper shows that high social utility depends on the infrastructure provided by the city. While the battery replacement model presented in this paper greatly increases charging availability, it still heavily depends on battery replacement stations. This paper presents a realistic model for a city-wide EV service infrastructure. The model is based on the real road map of Tokyo. The model evaluates quality of life of citizens, represented by two social utility metrics. Recommendations to battery replacement service providers are made based on simulation results.

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Section: Road Map and Distribution Modelsmentioning

confidence: 99%

On How Smart Cities Can Improve Social Utility of Their Citizens^|^apos; Commutes

Zhanikeev

2014

Journal of Information Processing

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“…Obviously, these studies cannot deal with flow demand. For alternative fuel stations, the sufficient number of stations has been calculated [20][21][22] . These works, however, still failed to deal with flow demand because they assumed that drivers use the nearest station from their home.…”

Section: Introductionmentioning

confidence: 99%

<b>Optimal Number of Facilities in Flow Covering Location Problems</b>

Miyagawa

2021

URPR

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This paper develops an analytical model for determining the number of flow demand facilities that cover trips. The proportions of covered trips within a specified deviation distance are derived for grid and random patterns of facilities. The analytical expressions for the proportions of covered trips demonstrate how the deviation distance, the number of facilities, and the pattern of facilities affect the level of coverage. The number of facilities required to achieve a certain level of coverage is then obtained. The coverage level is represented as the combination of the deviation distance and the proportion of covered trips. The coverage by the second nearest facility is also considered for the random pattern to deal with the case where facilities are subject to failures. The model incorporates any level of coverage and provides a versatile framework for determining the number of flow demand facilities.

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“…Nicholas and Ogden (2006) studied the regional variation in the number of stations needed to achieve a travel time target. Honma and Kurita (2008) obtained the optimal number of hydrogen stations that minimizes the sum of operation and transportation costs. Bersani et al (2009) formulated a model for selecting gasoline stations to be converted to hydrogen stations.…”

Section: Introductionmentioning

confidence: 99%

Deviation Distance and Sufficient Density of Alternative Fuel Stations

Miyagawa¹

2016

Forma

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This paper presents a model for determining the sufficient density of alternative fuel stations. The model extends a previous model to incorporate both flow demand and the deviation distance, and provides a more appropriate framework for analyzing the density of stations. The service level is represented as the probability that the vehicle can make the repeated round trip between randomly selected origin and destination within a specified deviation distance. The density of stations required to achieve a certain level of service is obtained for three cases: fuel is available at both origin and destination, fuel is available at either origin or destination, and fuel is available at neither origin nor destination. The result shows how the deviation distance, the vehicle range, the trip length, and the refueling availability at origin and destination affect the sufficient density of stations.

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A Mathematical Model on the Optimal Number of Hydrogen Stations With Respect to the Diffusion of Fuel Cell Vehicles

Abstract: indicates that all stations should become hybrid stations in t,he middle of the transition. Finally, the models are applled to Ybkohama City iii Japan and the solutions ofthe models are examined,

Cited by 12 publications

References 10 publications

On How Smart Cities Can Improve Social Utility of Their Citizens^|^apos; Commutes

On How Smart Cities Can Improve Social Utility of Their Citizens^|^apos; Commutes

<b>Optimal Number of Facilities in Flow Covering Location Problems</b>

Deviation Distance and Sufficient Density of Alternative Fuel Stations

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