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Design of Small LNG Supply Chain by Multi-Period Optimization

Author

Listed:
  • Alice Bittante

    (Fuel Gas Supply Systems, Marine Power, Wärtsilä Finland, Stålarmsgatan 45, 20810 Åbo, Finland)

  • Henrik Saxén

    (Process and Systems Engineering Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Biskopsgatan 8, 20500 Åbo, Finland)

Abstract

A mathematical model for the design of small-scale supply chains for liquefied natural gas (LNG) has been developed. It considers the maritime delivery of LNG from supply ports to satellite terminals and land-based transports from the terminals to consumers on or off the coast. Both tactical and strategic aspects in the supply chain design are addressed by optimizing the maritime routing of a heterogeneous fleet of ships, truck connections, and the locations of the satellite terminals. The objective is to minimize the overall cost, including operation and investment costs for the selected time horizon. The model is expressed as a mixed-integer linear programming problem, applying a multi-period formulation to determine optimal storage sizes and inventory at the satellite terminals. Two case studies illustrate the model, where optimal LNG supply chains for a region with sparsely distributed island (without land transports) and a coastal region at a gulf (with both sea and land transports) are designed. The model is demonstrated to be a flexible tool suited for the initial design and feasibility analysis of small-scale LNG supply chains.

Suggested Citation

  • Alice Bittante & Henrik Saxén, 2020. "Design of Small LNG Supply Chain by Multi-Period Optimization," Energies, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6704-:d:464861
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    References listed on IDEAS

    as
    1. 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.
    2. Grusche J. Seithe & Alexandra Bonou & Dimitrios Giannopoulos & Chariklia A. Georgopoulou & Maria Founti, 2020. "Maritime Transport in a Life Cycle Perspective: How Fuels, Vessel Types, and Operational Profiles Influence Energy Demand and Greenhouse Gas Emissions," Energies, MDPI, vol. 13(11), pages 1-20, May.
    3. Bittante, A. & Pettersson, F. & Saxén, H., 2018. "Optimization of a small-scale LNG supply chain," Energy, Elsevier, vol. 148(C), pages 79-89.
    4. 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.
    5. Jesus Gonzalez-Feliu, 2009. "The N-echelon Location routing problem: concepts and methods for tactical and operational planning," Working Papers halshs-00422492, HAL.
    6. Drexl, Michael & Schneider, Michael, 2015. "A survey of variants and extensions of the location-routing problem," European Journal of Operational Research, Elsevier, vol. 241(2), pages 283-308.
    7. 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.
    8. Mingyu Li & Peter Schütz, 2020. "Planning Annual LNG Deliveries with Transshipment," Energies, MDPI, vol. 13(6), pages 1-24, March.
    9. Becerra-Fernandez, Mauricio & Cosenz, Federico & Dyner, Isaac, 2020. "Modeling the natural gas supply chain for sustainable growth policy," Energy, Elsevier, vol. 205(C).
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