A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems

This paper presents a comprehensive literature review of the state-of-the art modeling and optimization methods for the power and propulsion systems of ships. Modeling is a tool to investigate the performance of actual systems by running simulations in the virtual world. There are two main approache...

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Main Authors: Foivos Mylonopoulos, Henk Polinder, Andrea Coraddu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10089437/
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author Foivos Mylonopoulos
Henk Polinder
Andrea Coraddu
author_facet Foivos Mylonopoulos
Henk Polinder
Andrea Coraddu
author_sort Foivos Mylonopoulos
collection DOAJ
description This paper presents a comprehensive literature review of the state-of-the art modeling and optimization methods for the power and propulsion systems of ships. Modeling is a tool to investigate the performance of actual systems by running simulations in the virtual world. There are two main approaches in modeling: physics-based and data-driven, which are both covered in detail in this survey paper. The output from the simulations might not be optimal in terms of certain performance criteria such as energy consumption, fuel cost etc. Hence, it is vital to optimize the systems considering the efficient interaction between the components, to yield the optimal performance for the integrated vessel’s powertrain. In this paper, the optimization case studies, for the ship energy systems, will be divided in terms of a) optimal design (topology and sizing), b) optimal control and energy management strategies, c) combined optimal design and control. Tables that summarize the literature review outcomes will also be presented at the end of each section. The main outcome is that limited literature is available for optimizations of ship powertrains using data-driven models, especially surrogate models. Surrogate-assisted optimizations for integrated ship energy systems can yield optimal solutions at fast computational speeds, with sufficient accuracy, even for complex, nested, multi-level, multi-objective optimizations.
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spelling doaj.art-69158b72ab2a42cc966321bdaea3aa712023-04-10T23:01:16ZengIEEEIEEE Access2169-35362023-01-0111326973270710.1109/ACCESS.2023.326371910089437A Comprehensive Review of Modeling and Optimization Methods for Ship Energy SystemsFoivos Mylonopoulos0https://orcid.org/0009-0008-1108-2888Henk Polinder1https://orcid.org/0000-0003-2212-0954Andrea Coraddu2https://orcid.org/0000-0001-8891-4963Department of Maritime and Transportation Technology, Delft University of Technology, Delft, The NetherlandsDepartment of Maritime and Transportation Technology, Delft University of Technology, Delft, The NetherlandsDepartment of Maritime and Transportation Technology, Delft University of Technology, Delft, The NetherlandsThis paper presents a comprehensive literature review of the state-of-the art modeling and optimization methods for the power and propulsion systems of ships. Modeling is a tool to investigate the performance of actual systems by running simulations in the virtual world. There are two main approaches in modeling: physics-based and data-driven, which are both covered in detail in this survey paper. The output from the simulations might not be optimal in terms of certain performance criteria such as energy consumption, fuel cost etc. Hence, it is vital to optimize the systems considering the efficient interaction between the components, to yield the optimal performance for the integrated vessel’s powertrain. In this paper, the optimization case studies, for the ship energy systems, will be divided in terms of a) optimal design (topology and sizing), b) optimal control and energy management strategies, c) combined optimal design and control. Tables that summarize the literature review outcomes will also be presented at the end of each section. The main outcome is that limited literature is available for optimizations of ship powertrains using data-driven models, especially surrogate models. Surrogate-assisted optimizations for integrated ship energy systems can yield optimal solutions at fast computational speeds, with sufficient accuracy, even for complex, nested, multi-level, multi-objective optimizations.https://ieeexplore.ieee.org/document/10089437/Energy systemsmodelingoptimizationsships
spellingShingle Foivos Mylonopoulos
Henk Polinder
Andrea Coraddu
A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
IEEE Access
Energy systems
modeling
optimizations
ships
title A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
title_full A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
title_fullStr A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
title_full_unstemmed A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
title_short A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems
title_sort comprehensive review of modeling and optimization methods for ship energy systems
topic Energy systems
modeling
optimizations
ships
url https://ieeexplore.ieee.org/document/10089437/
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