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A Stochastic Modelling and Optimization for the Design of an LNG Refuelling System in the Piraeus Port Region

Author

Listed:
  • Charis Ntakolia

    (National Technical University of Athens
    Hellenic Air Force Academy)

  • Michalis Douloumpekis

    (National Technical University of Athens)

  • Christos Papaleonidas

    (National Technical University of Athens)

  • Violetta Tsiampa

    (National Technical University of Athens)

  • Dimitrios V. Lyridis

    (National Technical University of Athens)

Abstract

Port activity is assumed to be an integral part of maritime activity. Ships are supplied with water, food, fuel, electricity, spare parts and consumables when they are berthed in ports. Therefore, the purpose of the service system is to reduce the waiting cost, from the time the ship’s arrival until its service. Delays in the system, and particularly in the queuing system, could occur due to irregularities in the ships’ arrival time causing uncertainty in time of service. On the contrary, a complex waiting system would require an increased commitment of capital for the construction and maintenance of appropriate infrastructure. As such an optimum size and operation of the port service system must be identified. To address this problem, this study presents a method for maximizing port administrator’s profit, by modelling and optimizing the waiting system based on Monte Carlo simulation techniques. Port of Piraeus is used to test the method. The case study assumes increased bunkering port calls due to the addition of a liquified natural gas (LNG) refuelling station. The results showed that a range of 3 to 5 stations generate high profit while using too many service stations could lead to deteriorations of the profit.

Suggested Citation

  • Charis Ntakolia & Michalis Douloumpekis & Christos Papaleonidas & Violetta Tsiampa & Dimitrios V. Lyridis, 2023. "A Stochastic Modelling and Optimization for the Design of an LNG Refuelling System in the Piraeus Port Region," SN Operations Research Forum, Springer, vol. 4(3), pages 1-32, September.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:3:d:10.1007_s43069-023-00239-y
    DOI: 10.1007/s43069-023-00239-y
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    References listed on IDEAS

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    1. Raimonds Aronietis & Christa Sys & Edwin van Hassel & Thierry Vanelslander, 2016. "Forecasting port-level demand for LNG as a ship fuel: the case of the port of Antwerp," Journal of Shipping and Trade, Springer, vol. 1(1), pages 1-22, December.
    2. Eleni Strantzali & Konstantinos Aravossis & Georgios A. Livanos & Nikos Chrysanthopoulos, 2018. "A Novel Multicriteria Evaluation of Small-Scale LNG Supply Alternatives: The Case of Greece," Energies, MDPI, vol. 11(4), pages 1-20, April.
    3. Elmaghraby, Salah E., 2005. "On the fallacy of averages in project risk management," European Journal of Operational Research, Elsevier, vol. 165(2), pages 307-313, September.
    4. Guoming Lai & Mulan X. Wang & Sunder Kekre & Alan Scheller-Wolf & Nicola Secomandi, 2011. "Valuation of Storage at a Liquefied Natural Gas Terminal," Operations Research, INFORMS, vol. 59(3), pages 602-616, June.
    5. Salman Saif Ghouri, 2006. "Forecasting natural gas prices using cointegration technique," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 30(4), pages 249-269, December.
    6. Branislav Dragović & Nam Kyu Park & Zoran Radmilović, 2006. "Ship-berth link performance evaluation: simulation and analytical approaches," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(3), pages 281-299, July.
    7. Trotter, Ian M. & Gomes, Marília Fernandes Maciel & Braga, Marcelo José & Brochmann, Bjørn & Lie, Ole Nikolai, 2016. "Optimal LNG (liquefied natural gas) regasification scheduling for import terminals with storage," Energy, Elsevier, vol. 105(C), pages 80-88.
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