Projecting full build-out environmental impacts and roll-out strategies associated with viable hydrogen fueling infrastructure strategies

Stephens-Romero, Shane; Brown, Tim; Carreras-Sospedra, Marc; Kang, Jee Eun; Brouwer, Jacob; Dabdub, Donald; Recker, Will; Samuelsen, G. S.

doi:10.1016/j.ijhydene.2011.08.005

Cited by 23 publications

(11 citation statements)

References 16 publications

(22 reference statements)

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“…STREET is a comprehensive planning methodology developed at University of California, Irvine (UCI) to assess environmental and economic impacts of transportation and grid mix options. For example, STREET has been previously used to study the air quality impacts of fuel cell electric vehicles in the SoCAB (Stephens-Romero et al, 2009), and also in developing roll-out strategies associated with hydrogen fueling stations (Stephens-Romero et al, 2011).…”

mentioning

confidence: 99%

Episodic air quality impacts of plug-in electric vehicles

Razeghi

Carreras-Sospedra

Brown

et al. 2016

Atmospheric Environment

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mentioning

confidence: 99%

Episodic air quality impacts of plug-in electric vehicles

Razeghi

Carreras-Sospedra

Brown

et al. 2016

Atmospheric Environment

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“…Stephens-Romero et al and Stephens-Romero et al [6,7] used a point-based approach for early adoption communities in Southern California targeted by auto-manufacturers. They applied the well-known set ("set" comprised of all nodes in the network) covering problem, and found that 11e14% of current gas stations "refitted for hydrogen refueling" would be comparable to current travel times (4 min) to gasoline stations in the areas.…”

Section: Background and Motivationmentioning

confidence: 99%

“…In practice, the California Fuel Cell Partnership (CaFCP) Roadmap [15] proposed 68 hydrogen stations for Precommercial Clusters following the methodology in Stephens-Romero et al and Stephens-Romero et al [6,7]. The CaFCP Roadmap relied on additional analysis that has concluded 5e7% of current gasoline stations are sufficient to provide 6 min coverage [16,17] which appears to assuage driver concerns about refueling availability.…”

Section: Background and Motivationmentioning

confidence: 99%

“…Methodology from Stephens-Romero et al [6] and Stephens-Romero et al [7] depends quantitatively on the network properties and path demands are accounted for in a more qualitative method. This means it is independent of route choice/traffic assignment (particularly for metropolitan planning) and long-term travel demand changes, which have not been addressed in any of hydrogen station siting models but are significant factors when dealing with travel demand.…”

Section: Background and Motivationmentioning

confidence: 99%

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Refueling hydrogen fuel cell vehicles with 68 proposed refueling stations in California: Measuring deviations from daily travel patterns

Kang

Brown

Recker

et al. 2014

International Journal of Hydrogen Energy

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a b s t r a c tThis paper examines the deviation of refueling a hydrogen fuel cell vehicle with limited opportunity provided by the 68 proposed stations in California. A refueling trip is inserted to reported travel patterns in early hydrogen adoption community clusters and the best and worst case insertions are analyzed. Based on these results, the 68 refueling stations provide an average of 2.5 and 9.6 min deviation for the best and the worst cases. These numbers are comparable to currently observed gasoline station deviation, and we conclude that these stations provide sufficient accessibility to residents in the target areas.

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“…From various scenarios, the density of stations to achieve certain levels of average driving time to nearest station and the population density are shown to have an inverse relationship. For example, the Los Angeles metropolitan area requires 6.8 % of current gasoline stations to provide hydrogen refueling service to achieve an average of 3 minutes driving time while the Sacramento metropolitan area requires 15.8%.. Stephens-Romero et al (2010) and Stephens-Romero et al (2011) applied a set covering problem for a series of early adoption communities in Southern California targeted by automanufacturers, and found the percentages of current gas stations "refitted for hydrogen refueling" that would guarantee the tolerable travel time to all nodes in the areas. Kuby and Lim (2005) developed a Flow-Refueling Location Problem from the Flow Capturing Location Model (Hodgson, 1990) assuming that refueling activities can be done between the origin and the destination within the range limit 1 .…”

Section: Introductionmentioning

confidence: 99%

Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles

Kang

Recker

2015

Transportation Science

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Set Covering problems find the optimal provision of service locations while guaranteeing an acceptable level of accessibility for every demand points in a given area. Other than reliance on static, exogenously-imposed accessibility measures, these problems either exclude substantive infrastructurevehicle interactions or only include fragmented infrastructure-vehicle interactions related to the routing considerations of households seeking refueling service as a requirement of performing routine, daily activities. Here, we address this problem by coupling a Location-Routing Problem (LRP) that uses the set covering model as a location strategy to the Household Activity Pattern Problem (HAPP) as the mixed integer scheduling and routing model that optimizes households' participation in out-of-home activities.The problem addressed includes multiple decision makers: the public/private sector as the service provider, and the collection of individual households that make their own routing decisions to perform a given set of "out-of-home activities" together with a visit to one of the service locations. A solution method that does not necessarily require the full information of the coverage matrix is developed to reduce the number of HAPPs that needs to be solved. The performance of the algorithm, as well as comparison of the results to the set covering model, is presented. Although the application is focused on identifying the optimal locations of Hydrogen Fuel Cell Vehicle (HFCV) refueling stations, this proposed formulation can be used as a facility location strategy for any service activity that is generally toured with other activities.

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Projecting full build-out environmental impacts and roll-out strategies associated with viable hydrogen fueling infrastructure strategies

Cited by 23 publications

References 16 publications

Episodic air quality impacts of plug-in electric vehicles

Episodic air quality impacts of plug-in electric vehicles

Refueling hydrogen fuel cell vehicles with 68 proposed refueling stations in California: Measuring deviations from daily travel patterns

Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles

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