Print Email Facebook Twitter A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems Title A Comprehensive Review of Modeling and Optimization Methods for Ship Energy Systems Author Mylonopoulos, F.M. (TU Delft Marine and Transport Technology) Polinder, H. (TU Delft Transport Engineering and Logistics) Coraddu, A. (TU Delft Ship Design, Production and Operations) Department Marine and Transport Technology Date 2023 Abstract 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. Subject Energy systemsmodelingoptimizationsships To reference this document use: http://resolver.tudelft.nl/uuid:aaf57bd7-3983-489b-8d3b-5a7d3aa5d3fb DOI https://doi.org/10.1109/ACCESS.2023.3263719 ISSN 2169-3536 Source IEEE Access, 11, 32697-32707 Part of collection Institutional Repository Document type journal article Rights © 2023 F.M. Mylonopoulos, H. Polinder, A. Coraddu Files PDF A_Comprehensive_Review_of ... ystems.pdf 2.38 MB Close viewer /islandora/object/uuid:aaf57bd7-3983-489b-8d3b-5a7d3aa5d3fb/datastream/OBJ/view