IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v4y2023i3d10.1007_s43069-023-00239-y.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-023-00239-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s43069-023-00239-y?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. 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.
    Full references (including those not matched with items on IDEAS)

    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. Akoh Fabien Yao & Maxime Sèbe & Laura Recuero Virto & Abdelhak Nassiri & Hervé Dumez, 2024. "The effect of LNG bunkering on port competitiveness using multilevel data analysis [L'effet du soutage par GNL sur la compétitivité des ports à l'aide de l'analyse de données à plusieurs niveaux]," Post-Print hal-04611804, HAL.
    2. Azaron, Amir & Fatemi Ghomi, S.M.T., 2008. "Lower bound for the mean project completion time in dynamic PERT networks," European Journal of Operational Research, Elsevier, vol. 186(1), pages 120-127, April.
    3. Meloni, Carlo & Pranzo, Marco & Samà, Marcella, 2021. "Risk of delay evaluation in real-time train scheduling with uncertain dwell times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    4. Branislav Dragović & Ernestos Tzannatos & Nam Kuy Park, 2017. "Simulation modelling in ports and container terminals: literature overview and analysis by research field, application area and tool," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 4-34, March.
    5. Jia, Shuai & Li, Chung-Lun & Xu, Zhou, 2020. "A simulation optimization method for deep-sea vessel berth planning and feeder arrival scheduling at a container port," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 174-196.
    6. Raimonds Aronietis & Christa Sys & Edwin van Hassel & Thierry Vanelslander, 2017. "Investigating the bunkering choice determinants: the case of the port of Antwerp," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-13, December.
    7. Stefansdottir, Bryndis & Depping, Verena & Grunow, Martin & Kulozik, Ulrich, 2018. "Impact of shelf life on the trade-off between economic and environmental objectives: A dairy case," International Journal of Production Economics, Elsevier, vol. 201(C), pages 136-148.
    8. Trietsch, Dan & Mazmanyan, Lilit & Gevorgyan, Lilit & Baker, Kenneth R., 2012. "Modeling activity times by the Parkinson distribution with a lognormal core: Theory and validation," European Journal of Operational Research, Elsevier, vol. 216(2), pages 386-396.
    9. Chien-Ming Chen & Joe Zhu, 2011. "Efficient Resource Allocation via Efficiency Bootstraps: An Application to R&D Project Budgeting," Operations Research, INFORMS, vol. 59(3), pages 729-741, June.
    10. Zhang, Jingwen & Elmaghraby, Salah E., 2014. "The relevance of the “alphorn of uncertainty” to the financial management of projects under uncertainty," European Journal of Operational Research, Elsevier, vol. 238(1), pages 65-76.
    11. Gary Mitchell, 2010. "On Calculating Activity Slack in Stochastic Project Networks," American Journal of Economics and Business Administration, Science Publications, vol. 2(1), pages 78-85, March.
    12. Cao, Xinhu & Lam, Jasmine Siu Lee, 2018. "Simulation-based catastrophe-induced port loss estimation," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 1-12.
    13. Stefan Creemers & Erik Demeulemeester & Stijn Vonder, 2014. "A new approach for quantitative risk analysis," Annals of Operations Research, Springer, vol. 213(1), pages 27-65, February.
    14. Arvesen, Ø. & Medbø, V. & Fleten, S.-E. & Tomasgard, A. & Westgaard, S., 2013. "Linepack storage valuation under price uncertainty," Energy, Elsevier, vol. 52(C), pages 155-164.
    15. A. Lust & K.-H. Waldmann, 2019. "A general storage model with applications to energy systems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 71-97, March.
    16. Wiesemann, Wolfram & Kuhn, Daniel & Rustem, Berç, 2010. "Maximizing the net present value of a project under uncertainty," European Journal of Operational Research, Elsevier, vol. 202(2), pages 356-367, April.
    17. Owen Q. Wu & Derek D. Wang & Zhenwei Qin, 2012. "Seasonal Energy Storage Operations with Limited Flexibility: The Price-Adjusted Rolling Intrinsic Policy," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 455-471, July.
    18. Türkoğulları, Yavuz B. & Taşkın, Z. Caner & Aras, Necati & Altınel, İ. Kuban, 2016. "Optimal berth allocation, time-variant quay crane assignment and scheduling with crane setups in container terminals," European Journal of Operational Research, Elsevier, vol. 254(3), pages 985-1001.
    19. Thompson, Matt, 2016. "Natural gas storage valuation, optimization, market and credit risk management," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 26-44.
    20. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.

    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:spr:snopef:v:4:y:2023:i:3:d:10.1007_s43069-023-00239-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.