Research on the Location of Hydrogen Fuel Bus Filling Station in Beijing Based on Tabu Search Algorithm and Set Cover Model
Fengyun Liu (),
Xiaochun Lu () and
Xiaoliang Wu ()
Additional contact information
Fengyun Liu: Beijing Jiaotong University
Xiaochun Lu: Beijing Jiaotong University
Xiaoliang Wu: China State Railway Group
A chapter in LISS 2024, 2025, pp 474-484 from Springer
Abstract:
Abstract The dual-carbon target proposed by China consistently advocates for a green and environmentally friendly lifestyle, guiding green technological innovation, accelerating the reduction of carbon emissions, promoting green development, and advocating for a low-carbon future. Hydrogen, as a secondary energy source with abundant sources, green and low-carbon characteristics, and wide applications, is gradually becoming one of the important carriers for global energy transition and development. Therefore, hydrogen fuel cell vehicles are regarded as one of the main development directions of the hydrogen energy economy. Compared with traditional fuel-powered vehicles, hydrogen fuel is more environmentally friendly. Additionally, compared with the more popular electric vehicles, hydrogen-powered vehicles consume less energy for the same driving distance, have shorter energy replenishment times, and are less affected by seasonal and climatic temperature changes. This makes hydrogen-powered vehicles safer and more reliable for users. However, with the booming promotion of other new energy vehicles, the number of hydrogen refueling stations in Beijing is still relatively small, and construction lags behind. Focusing on addressing weaknesses and making efforts has become an important step in enhancing the competitiveness and innovation of the hydrogen energy industry.
Keywords: hydrogen refueling station location selection; hydrogen energy; set covering model; tabu search algorithm (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-96-9697-0_37
Ordering information: This item can be ordered from
http://www.springer.com/9789819696970
DOI: 10.1007/978-981-96-9697-0_37
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().