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A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels

Author

Listed:
  • Aleksander A. Kondratenko

    (Department of Mechanical Engineering, Aalto University, FI-00076 Aalto, Finland)

  • Martin Bergström

    (Department of Mechanical Engineering, Aalto University, FI-00076 Aalto, Finland)

  • Aleksander Reutskii

    (Department of Fleet Operations, Central Marine Research and Design Institute, 191015 St. Petersburg, Russia)

  • Pentti Kujala

    (Department of Mechanical Engineering, Aalto University, FI-00076 Aalto, Finland)

Abstract

This article presents a new holistic multi-objective design approach for the optimization of Arctic Offshore Supply Vessels (OSVs) for cost- and eco-efficiency. The approach is intended to be used in the conceptual design phase of an Arctic OSV. It includes (a) a parametric design model of an Arctic OSV, (b) performance assessment models for independently operating and icebreaker-assisted Arctic OSVs, and (c) a novel adaptation of the Artificial Bee Colony (ABC) algorithm for multi-objective optimization of Arctic OSVs. To demonstrate the feasibility and viability of the proposed optimization approach, a series of case studies covering a wide range of operating scenarios are carried out. The results of the case studies indicate that the consideration of icebreaker assistance significantly extends the feasible design space of Arctic OSVs, enabling solutions with improved energy- and cost-efficiency. The results further indicate that the optimal amount of icebreaking assistance and optimal vessel speed differs for different vessels, highlighting the motivation for holistic design optimization. The applied adaptation of the ABC algorithm proved to be well suited and efficient for the multi-objective optimization problem considered.

Suggested Citation

  • Aleksander A. Kondratenko & Martin Bergström & Aleksander Reutskii & Pentti Kujala, 2021. "A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5550-:d:555652
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    Cited by:

    1. Peixoto, Crisley S. & Vieira, Giovani G.T.T. & Salles, Mauricio B.C. & Carmo, Bruno S., 2024. "Assessing the impact of power dispatch optimization and energy storage systems in Diesel–electric PSVs: A case study based on real field data," Applied Energy, Elsevier, vol. 357(C).
    2. Zvyagina, Tatiana & Zvyagin, Petr, 2022. "A model of multi-objective route optimization for a vessel in drifting ice," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).

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