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Efficient and equitable transnational infrastructure planning for natural gas trucking in the European Union

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  • Kuby, Michael
  • Capar, Ismail
  • Kim, Jong-Geun

Abstract

The European Union relies on oil for over 90% of its transportation fuels. To reduce this dependency, the EU is developing an integrated market for compressed (CNG) and liquefied (LNG) natural gas as alternatives to diesel for long-haul trucking. This paper develops a modeling approach for optimizing a subsidized European network of LNG truck stops based on the flow-refueling location model (FRLM). The FRLM locates stations to cover the maximum flow volume of origin–destination trips on their shortest paths. The FRLM explicitly accounts for the need for multiple refueling stops to serve long-distance trips given a user-specified vehicle driving range. In this paper, the FRLM maximizes covered flows in terms of ton-kilometers (tkm) rather than tons because tkm are proportional to the amount of diesel that can be replaced by LNG and the associated difference in carbon emissions. Nevertheless, despite the fact that maximizing covered tkm prioritizes longer shipments, the basic FRLM clusters all new stations in Germany, which has the densest concentration of flows. For subsidized stations promoting pan-European trucking, concentrating new stations in a few countries may not be politically desirable. We therefore introduce and compare several new side constraints for producing a more equitable distribution of covered flows across EU members, including transnational corridor constraints that require connectivity between different countries and partial country coverage constraints that require a minimum percentage coverage threshold in each country. The country coverage constraints show the most promise for offering decision-makers distinct alternatives for a network of alternative-fuel stations across countries.

Suggested Citation

  • Kuby, Michael & Capar, Ismail & Kim, Jong-Geun, 2017. "Efficient and equitable transnational infrastructure planning for natural gas trucking in the European Union," European Journal of Operational Research, Elsevier, vol. 257(3), pages 979-991.
  • Handle: RePEc:eee:ejores:v:257:y:2017:i:3:p:979-991
    DOI: 10.1016/j.ejor.2016.08.017
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    References listed on IDEAS

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    2. Girma T. Chala & Abd Rashid Abd Aziz & Ftwi Y. Hagos, 2018. "Natural Gas Engine Technologies: Challenges and Energy Sustainability Issue," Energies, MDPI, vol. 11(11), pages 1-44, October.
    3. Schwerdfeger, Stefan & Bock, Stefan & Boysen, Nils & Briskorn, Dirk, 2022. "Optimizing the electrification of roads with charge-while-drive technology," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1111-1127.
    4. Schulz, Arne & Suzuki, Yoshinori, 2023. "An efficient heuristic for the fixed-route vehicle-refueling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    5. Erdoğan, Sevgi & Çapar, İsmail & Çapar, İbrahim & Nejad, Mohammad Motalleb, 2022. "Establishing a statewide electric vehicle charging station network in Maryland: A corridor-based station location problem," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    6. Ventura, Jose A. & Kweon, Sang Jin & Hwang, Seong Wook & Tormay, Matthew & Li, Chenxi, 2017. "Energy policy considerations in the design of an alternative-fuel refueling infrastructure to reduce GHG emissions on a transportation network," Energy Policy, Elsevier, vol. 111(C), pages 427-439.
    7. Tran, Trung Hieu & Nagy, Gábor & Nguyen, Thu Ba T. & Wassan, Niaz A., 2018. "An efficient heuristic algorithm for the alternative-fuel station location problem," European Journal of Operational Research, Elsevier, vol. 269(1), pages 159-170.

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