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

• Published in: Applied energy 2022-05, Vol.313, p.118688, Article 118688
• Main Authors: Chen, Jinyu, Zhang, Qiong, Xu, Ning, Li, Wenjing, Yao, Yuhao, Li, Peiran, Yu, Qing, Wen, Chuang, Song, Xuan, Shibasaki, Ryosuke, Zhang, Haoran
• Format: Article
• Language: English
• Subjects: Big data fusion; Hydrogen facilities; Hydrogen society; Locating priority
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2022.118688

•This paper introduces a case study of locating the priority to constructing hydrogen facilities in Tokyo based on a multiple dataset fusion method.•The adopted method considers the effect of land use planning and policy regulation on the practice of facility construction.•The complex network theory and massive GPS trajectory records in the capital region of Japan is adopted for computation.•The rationality and feasibility of result is proved and it also provides detailed analysis and guideline for the future scenarios of hydrogen facility locations. 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.