Roadmap to hydrogen society of Tokyo: Locating priority of hydrogen facilities based on multiple big data fusion

Chen，Jinyu1; Zhang，Qiong2; Xu，Ning3; Li，Wenjing1; Yao，Yuhao1; Li，Peiran1; Yu，Qing4; Wen，Chuang5; Song，Xuan6; Shibasaki，Ryosuke1; Zhang，Haoran1

2022-05-01

10.1016/j.apenergy.2022.118688

APPLIED ENERGY   影响因子和分区

0306-2619

1872-9118

Hydrogen socialization has become a promising target in future energy development. Hydrogen fuel cell vehicle is gradually becoming a considerable substitute for fossil fuel vehicles in many countries. As for the promotion of hydrogen fuel cell vehicles, The construction of facilities like hydrogen refueling stations and depots should be strengthened. The research provides a case study of locating the priority of the construction of hydrogenation facilities, based on policy regulation, massive GPS trajectory records, geographical land use data, road network and, POI data. The PageRank value in the complex network theory is employed to estimate the priority of the Land use Unit and policies regulation is referred to to ensure the feasibility of construction. Among 24,595 Land Use Units in sum, 59.78% of them are allowed to build hydrogen facilities. The results show that the available location of hydrogen refueling stations with high priority (we pick the first 100 for analysis) and feasibility in policy are geographically clustered around the city centers and sub-centers. The place with the highest PageRank value of 0.0033 is Haneda airport, which is an important transportation hub. The PageRank values of most of the other first 100 ranked Land Use Units are under 0.001. This indicates that the vehicle transportation network is highly centralized. There is an obvious sequence of priority of hydrogen refueling stations. We furtherly provide sensitivity analysis and it shows that higher-ranked places are spatially clustered. The best hydrogen depot is located near Tokyo Bay with the advantage of low transportation cost of liquid hydrogen, convenient transportation conditions, strong safety assurance. After verification, the results showed consistency with the current hydrogenation facility construction process and demonstrated the potential for future hydrogenation facility construction.

Big data fusion Hydrogen facilities Hydrogen society Locating priority

SCI ; EI

英语

其他

JST SPRING[JPMJSP2108]

Energy & Fuels ; Engineering

Energy & Fuels ; Engineering, Chemical

WOS:000808002700001

ELSEVIER SCI LTD

20221011750959

Big data ; Complex networks ; Data fusion ; Fossil fuels ; Fuel cells ; Hydrogen ; Hydrogen fuels ; Hydrogenation ; Land use ; Liquefied gases ; Motor transportation ; Sensitivity analysis ; Vehicles

Urban and Regional Planning and Development:403 ; Gas Fuels:522 ; Fuel Cells:702.2 ; Computer Systems and Equipment:722 ; Data Processing and Image Processing:723.2 ; Chemical Reactions:802.2 ; Chemical Products Generally:804 ; Mathematics:921

ENGINEERING

2-s2.0-85125671351

Scopus

1.Center for Spatial Information Science,The University of Tokyo,Kashiwa, Chiba,5-1-5 Kashiwanoha,277-8563,Japan
2.Department of Environmental Systems,Graduate Schools of Frontier Sciences,The University of Tokyo,Japan
3.China University of Petroleum-Beijing,Beijing Key Laboratory of Urban Oil and Gas Distribution Technology,Beijing,China
4.Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,201804,China
5.College of Engineering,Mathematics and Physical Sciences,University of Exeter,Exeter,UK,EX4 4QF,United Kingdom
6.SUSTech-UTokyo Joint Research Center on Super Smart City,Department of Computer Science and Engineering,Southern University of Science and Technology (SUSTech),Shenzhen,China

Chen，Jinyu,Zhang，Qiong,Xu，Ning,et al. Roadmap to hydrogen society of Tokyo: Locating priority of hydrogen facilities based on multiple big data fusion[J]. APPLIED ENERGY,2022,313.

Chen，Jinyu.,Zhang，Qiong.,Xu，Ning.,Li，Wenjing.,Yao，Yuhao.,...&Zhang，Haoran.(2022).Roadmap to hydrogen society of Tokyo: Locating priority of hydrogen facilities based on multiple big data fusion.APPLIED ENERGY,313.

Chen，Jinyu,et al."Roadmap to hydrogen society of Tokyo: Locating priority of hydrogen facilities based on multiple big data fusion".APPLIED ENERGY 313(2022).