Optimization of hydrogen stations in Florida using the Flow-Refueling Location Model

被引:197
作者
Kuby, Michael [1 ]
Lines, Lee [2 ]
Schultz, Ronald [3 ]
Xie, Zhixiao [3 ]
Kim, Jong-Geun [1 ]
Lim, Seow [4 ]
机构
[1] Arizona State Univ, Sch Geog Sci, Tempe, AZ 85287 USA
[2] Rollins Coll, Dept Environm Studies, Winter Pk, FL 32789 USA
[3] Florida Atlantic Univ, Dept Geosci, Boca Raton, FL 33431 USA
[4] Salt River Project, Tempe, AZ 85281 USA
基金
美国国家科学基金会;
关键词
Optimal; Location; Refuel; Infrastructure; Station; Model; Intercepting; Capturing; Network; INFRASTRUCTURE; FACILITIES; NETWORK;
D O I
10.1016/j.ijhydene.2009.05.050
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This paper develops and applies a model that locates hydrogen stations to refuel the maximum volume of vehicle flows. Inputs to the model include a road network with average speeds; the origin-destination flow volumes between each origin and destination; a maximum driving range between refueling stops; and the number of stations to build. The Flow-Refueling Location Model maximizes the flow volumes that can be refueled, measured either in number of trips or vehicle-miles traveled. Geographic Information Systems and heuristic algorithms are integrated in a spatial decision support system that researchers can use to develop data, enter assumptions, analyze scenarios, evaluate tradeoffs, and map results. For the Florida Hydrogen Initiative, we used this model to investigate strategies for rolling out an initial refueling infrastructure in Florida at two different scales of analysis: metropolitan Orlando and statewide. By analyzing a variety of scenarios at both scales of analysis, we identify a robust set of stations that perform well under a variety of assumptions, and develop a strategy for phasing in clustered and connecting stations in several stages or tiers. (C) 2009 International Association for Hydrogen Energy. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:6045 / 6064
页数:20
相关论文
共 50 条
[31]   Location optimization of electric vehicle charging stations: Based on cost model and genetic algorithm [J].
Zhou, Guangyou ;
Zhu, Zhiwei ;
Luo, Sumei .
ENERGY, 2022, 247
[32]   Research on risk evolution, prevention, and control of fire and explosion accidents in hydrogen refueling stations based on the AcciMap-FTA model [J].
Kang, Jian ;
Su, Tao ;
Li, Jingfa ;
Wang, Zhixing ;
Zhang, Jixin .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2025, 194 :107-118
[33]   Hydrogen Refueling Stations and Carbon Emission Reduction of Coastal Expressways: A Deployment Model and Multi-Scenario Analysis [J].
Wang, Zhe ;
Wang, Dongxing ;
Zhao, Fan ;
Han, Fenghui ;
Ji, Yulong ;
Cai, Wenjian .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (07)
[34]   Optimization location model of VTS radar stations based on set covering theory [J].
Cao, De-Sheng ;
Lü, Jing ;
Ai, Yun-Fei ;
Zhang, Li-Li .
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2014, 34 (07) :752-756
[35]   A Bi-Level Optimization Model for Hydrogen Station Location Considering Hydrogen Cost and Range Anxiety [J].
Jiang, Lisha ;
Wang, Liang .
SUSTAINABILITY, 2025, 17 (07)
[36]   Optimal operation scheduling of mobile hydrogen charging stations: A mathematical optimization model and heuristic approach [J].
Han, So Rim ;
Song, Byung Duk .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2023, 48 (90) :35011-35025
[37]   Analysis of refueling behavior of hydrogen fuel vehicles through a stochastic model using Markov Chain Process [J].
Isaac, N. ;
Saha, A. K. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 141
[38]   Prioritization and Optimal Location of Hydrogen Fueling Stations in Seoul: Using Multi-Standard Decision-Making and ILP Optimization [J].
Kim, Kyeong Ryong ;
Cho, Jae Hyung .
PROCESSES, 2023, 11 (03)
[39]   Multi-period planning of hydrogen refuelling stations using flow data: A case study for Istanbul [J].
Gecici, Ebru ;
Guler, Mehmet Guray ;
Bilgic, Taner .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2022, 47 (95) :40138-40155
[40]   Design and optimization of a hydrogen supply chain using a centralized storage model [J].
Seo, Seung-Kwon ;
Yun, Dong-Yeol ;
Lee, Chul-Jin .
APPLIED ENERGY, 2020, 262