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

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...

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Published in:Sustainability
Main Authors: Aleksander A. Kondratenko, Martin Bergström, Aleksander Reutskii, Pentti Kujala
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
RFR
Online Access:https://doi.org/10.3390/su13105550
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spelling ftmdpi:oai:mdpi.com:/2071-1050/13/10/5550/ 2023-08-20T04:03:24+02:00 A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels Aleksander A. Kondratenko Martin Bergström Aleksander Reutskii Pentti Kujala agris 2021-05-16 application/pdf https://doi.org/10.3390/su13105550 EN eng Multidisciplinary Digital Publishing Institute Sustainable Transportation https://dx.doi.org/10.3390/su13105550 https://creativecommons.org/licenses/by/4.0/ Sustainability; Volume 13; Issue 10; Pages: 5550 EEDI RFR offshore supply vessel Arctic shipping multi-objective optimization Artificial Bee Colony algorithm icebreaker assistance fuel consumption ship design Pareto front Text 2021 ftmdpi https://doi.org/10.3390/su13105550 2023-08-01T01:43:42Z 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. Text Arctic Icebreaker MDPI Open Access Publishing Arctic Sustainability 13 10 5550
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic EEDI
RFR
offshore supply vessel
Arctic shipping
multi-objective optimization
Artificial Bee Colony algorithm
icebreaker assistance
fuel consumption
ship design
Pareto front
spellingShingle EEDI
RFR
offshore supply vessel
Arctic shipping
multi-objective optimization
Artificial Bee Colony algorithm
icebreaker assistance
fuel consumption
ship design
Pareto front
Aleksander A. Kondratenko
Martin Bergström
Aleksander Reutskii
Pentti Kujala
A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
topic_facet EEDI
RFR
offshore supply vessel
Arctic shipping
multi-objective optimization
Artificial Bee Colony algorithm
icebreaker assistance
fuel consumption
ship design
Pareto front
description 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.
format Text
author Aleksander A. Kondratenko
Martin Bergström
Aleksander Reutskii
Pentti Kujala
author_facet Aleksander A. Kondratenko
Martin Bergström
Aleksander Reutskii
Pentti Kujala
author_sort Aleksander A. Kondratenko
title A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
title_short A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
title_full A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
title_fullStr A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
title_full_unstemmed A Holistic Multi-Objective Design Optimization Approach for Arctic Offshore Supply Vessels
title_sort holistic multi-objective design optimization approach for arctic offshore supply vessels
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/su13105550
op_coverage agris
geographic Arctic
geographic_facet Arctic
genre Arctic
Icebreaker
genre_facet Arctic
Icebreaker
op_source Sustainability; Volume 13; Issue 10; Pages: 5550
op_relation Sustainable Transportation
https://dx.doi.org/10.3390/su13105550
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/su13105550
container_title Sustainability
container_volume 13
container_issue 10
container_start_page 5550
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