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LNG bunkering stations location optimization on basis graph theory
Klaipeda Shipping Research Centre, LTU.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Klaipeda University, LTU.
Klaipeda University, LTU.
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2018 (English)In: Transport Means - Proceedings of the International Conference, Kaunas University of Technology , 2018, p. 660-664Conference paper, Published paper (Refereed)
Abstract [en]

As an alternative to traditional fuel and energy source LNG (Liquefied Natural Gas) has many advantages, such as lower emissions while providing a means of energy for trucks, trains and ships. In focusing on the maritime transport sector the reasons for using LNG make a convincing business case, but lead to many discussions on LNG investments. The key issue has been is: “should investment be implemented first on LNG bunkering stations and then wait for the market to build ships to use the facilities or should investment wait until there is a demand?” Obviously, this creates a “chicken-and-egg” situation on when and where to invest for LNG use to take place. The initial experiences in using LNG in maritime and road transport suggest that the transport firms often take the risk themselves by not only investing into the transport units (ships, trucks) themselves but also invest into the infrastructure as well, e.g., developing LNG bunkering facilities. At the same time with these large initial investments for developing LNG bunkering networks there are more and more requests for identifying optimal solutions, often are based on real LNG fuel demand in ports and on the roads. This paper is oriented on the study for optimal bunkering network creation, which is argued to help with improved efficiency in the supply of LNG fuel to transport users. In addition, optimal investments for LNG bunkering networks can be realized. © 2018 Kaunas University of Technology. All rights reserved.

Place, publisher, year, edition, pages
Kaunas University of Technology , 2018. p. 660-664
Keywords [en]
LNG bunkering, LNG fuel, Optimization LNG bunkering network, Transport corridors, Automobiles, Gas emissions, Graph theory, Investments, Liquefied natural gas, Tankers (ships), Trucks, Location optimization, Maritime transport, Network creation, Optimal investments, Optimal solutions, Traditional fuels, Natural gas transportation
National Category
Transport Systems and Logistics Computer Sciences
Identifiers
URN: urn:nbn:se:bth-17270Scopus ID: 2-s2.0-85055508566OAI: oai:DiVA.org:bth-17270DiVA, id: diva2:1263303
Conference
22nd International Scientific on Conference Transport Means 2018, 3 October 2018 through 5 October 2018, Trasalis, Lithuania
Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2018-11-16Bibliographically approved

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Henesey, Lawrence

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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  • Other locale
More languages
Output format
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