IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v138y2015icp423-431.html
   My bibliography  Save this article

An MILP model for optimization of a small-scale LNG supply chain along a coastline

Author

Listed:
  • Jokinen, Raine
  • Pettersson, Frank
  • Saxén, Henrik

Abstract

The world energy demand is continuously increasing and natural gas is one of the strongest candidates to cover the growth. However, natural gas is unavailable in many energy intensive areas and the best way to introduce natural gas to new, scattered, areas is by transporting it as liquefied natural gas (LNG). LNG can be shipped from a large LNG import terminal to consumers through a network of smaller satellite terminals with a combination of sea- and land-based transports. Building up a small-scale supply chain network is expensive and capital intensive. This paper presents a mathematical model to aid in the supply chain design decisions by minimizing the total costs associated with fuel procurement. The use of the model is illustrated by a case study, where the optimal supply chain of LNG for covering certain parts of the energy requirements of a country is designed under different cost structures for LNG and for its land-based transportation.

Suggested Citation

  • Jokinen, Raine & Pettersson, Frank & Saxén, Henrik, 2015. "An MILP model for optimization of a small-scale LNG supply chain along a coastline," Applied Energy, Elsevier, vol. 138(C), pages 423-431.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:423-431
    DOI: 10.1016/j.apenergy.2014.10.039
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914010897
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.10.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Al-Khayyal, Faiz & Hwang, Seung-June, 2007. "Inventory constrained maritime routing and scheduling for multi-commodity liquid bulk, Part I: Applications and model," European Journal of Operational Research, Elsevier, vol. 176(1), pages 106-130, January.
    2. Elin Halvorsen-Weare & Kjetil Fagerholt, 2013. "Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints," Annals of Operations Research, Springer, vol. 203(1), pages 167-186, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ning, Jinghong & Sun, Zhili & Dong, Qiang & Liu, Xinghua, 2019. "Performance study of supplying cooling load and output power combined cycle using the cold energy of the small scale LNG," Energy, Elsevier, vol. 172(C), pages 36-44.
    2. Bittante, A. & Pettersson, F. & Saxén, H., 2018. "Optimization of a small-scale LNG supply chain," Energy, Elsevier, vol. 148(C), pages 79-89.
    3. Koza, David Franz & Ropke, Stefan & Boleda Molas, Anna, 2017. "The liquefied natural gas infrastructure and tanker fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 96-114.
    4. Alice Bittante & Henrik Saxén, 2020. "Design of Small LNG Supply Chain by Multi-Period Optimization," Energies, MDPI, vol. 13(24), pages 1-19, December.
    5. Kuk, Edyta & Małkus, Bartłomiej & Kuk, Michał, 2020. "Small-scale LNG Market Optimization – Intelligent Distribution Network," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 522-530, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    6. Lopez Alvarez, Jose A. & Buijs, Paul & Kilic, Onur A. & Vis, Iris F.A., 2020. "An inventory control policy for liquefied natural gas as a transportation fuel," Omega, Elsevier, vol. 90(C).
    7. Zamar, David S. & Gopaluni, Bhushan & Sokhansanj, Shahab, 2017. "Optimization of sawmill residues collection for bioenergy production," Applied Energy, Elsevier, vol. 202(C), pages 487-495.
    8. Yuan, Jun & Shi, Xunpeng & He, Junliang, 2024. "LNG market liberalization and LNG transportation: Evaluation based on fleet size and composition model," Applied Energy, Elsevier, vol. 358(C).
    9. Ancona, M.A. & Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Mormile, M. & Palella, M. & Scarponi, L.B., 2018. "Investigation on small-scale low pressure LNG production process," Applied Energy, Elsevier, vol. 227(C), pages 672-685.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mingyu Li & Peter Schütz, 2020. "Planning Annual LNG Deliveries with Transshipment," Energies, MDPI, vol. 13(6), pages 1-24, March.
    2. Jørgen Glomvik Rakke & Henrik Andersson & Marielle Christiansen & Guy Desaulniers, 2015. "A New Formulation Based on Customer Delivery Patterns for a Maritime Inventory Routing Problem," Transportation Science, INFORMS, vol. 49(2), pages 384-401, May.
    3. Mutlu, Fatih & Msakni, Mohamed K. & Yildiz, Hakan & Sönmez, Erkut & Pokharel, Shaligram, 2016. "A comprehensive annual delivery program for upstream liquefied natural gas supply chain," European Journal of Operational Research, Elsevier, vol. 250(1), pages 120-130.
    4. Ostermeier, Manuel & Henke, Tino & Hübner, Alexander & Wäscher, Gerhard, 2021. "Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions," European Journal of Operational Research, Elsevier, vol. 292(3), pages 799-817.
    5. Elin Halvorsen-Weare & Kjetil Fagerholt, 2013. "Routing and scheduling in a liquefied natural gas shipping problem with inventory and berth constraints," Annals of Operations Research, Springer, vol. 203(1), pages 167-186, March.
    6. Agra, Agostinho & Christiansen, Marielle & Delgado, Alexandrino & Simonetti, Luidi, 2014. "Hybrid heuristics for a short sea inventory routing problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 924-935.
    7. Kuk, Edyta & Małkus, Bartłomiej & Kuk, Michał, 2020. "Small-scale LNG Market Optimization – Intelligent Distribution Network," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 522-530, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    8. Agostinho Agra & Marielle Christiansen & Alexandrino Delgado, 2013. "Mixed Integer Formulations for a Short Sea Fuel Oil Distribution Problem," Transportation Science, INFORMS, vol. 47(1), pages 108-124, February.
    9. Osleeb, Jeffrey P. & Ratick, Samuel J., 2010. "An Interperiod Network Storage Location–Allocation (INSLA) model for rail distribution of ethanol biofuels," Journal of Transport Geography, Elsevier, vol. 18(6), pages 729-737.
    10. Koza, David Franz & Ropke, Stefan & Boleda Molas, Anna, 2017. "The liquefied natural gas infrastructure and tanker fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 96-114.
    11. Malinowski, Ethan & Karwan, Mark H. & Pinto, José M. & Sun, Lei, 2018. "A mixed-integer programming strategy for liquid helium global supply chain planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 168-188.
    12. Dhanya Shajin & Jaison Jacob & A. Krishnamoorthy, 2022. "On a queueing inventory problem with necessary and optional inventories," Annals of Operations Research, Springer, vol. 315(2), pages 2089-2114, August.
    13. Yan Cheng Hsu & Jose L. Walteros & Rajan Batta, 2020. "Solving the petroleum replenishment and routing problem with variable demands and time windows," Annals of Operations Research, Springer, vol. 294(1), pages 9-46, November.
    14. de Mare, R. & Spliet, R. & Huisman, D., 2010. "A Branch-and-Price Approach for a Ship Routing Problem with Multiple Products and Inventory Constraints," Econometric Institute Research Papers EI 2010-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Agra, Agostinho & Christiansen, Marielle & Wolsey, Laurence, 2022. "Improved models for a single vehicle continuous-time inventory routing problem with pickups and deliveries," European Journal of Operational Research, Elsevier, vol. 297(1), pages 164-179.
    16. Sahin, Bahri & Yilmaz, Huseyin & Ust, Yasin & Guneri, Ali Fuat & Gulsun, BahadIr, 2009. "An approach for analysing transportation costs and a case study," European Journal of Operational Research, Elsevier, vol. 193(1), pages 1-11, February.
    17. Chen, Qingfeng & Li, Kunpeng & Liu, Zhixue, 2014. "Model and algorithm for an unpaired pickup and delivery vehicle routing problem with split loads," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 218-235.
    18. Hadi Jahangir & Mohammad Mohammadi & Seyed Hamid Reza Pasandideh & Neda Zendehdel Nobari, 2019. "Comparing performance of genetic and discrete invasive weed optimization algorithms for solving the inventory routing problem with an incremental delivery," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2327-2353, August.
    19. Lahyani, Rahma & Coelho, Leandro C. & Khemakhem, Mahdi & Laporte, Gilbert & Semet, Frédéric, 2015. "A multi-compartment vehicle routing problem arising in the collection of olive oil in Tunisia," Omega, Elsevier, vol. 51(C), pages 1-10.
    20. Ioannis Fragkos & Bert De Reyck, 2016. "Improving the Maritime Transshipment Operations of the Noble Group," Interfaces, INFORMS, vol. 46(3), pages 203-217, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:138:y:2015:i:c:p:423-431. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.