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TOpti: a flexible framework for optimising energy management for various ship machinery topologies

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TOpti : a flexible framework for optimising energy management for various ship machinery topologies. / Jaurola, Miikka; Hedin, Anders; Tikkanen, Seppo; Huhtala, Kalevi.

julkaisussa: Journal of Marine Science and Technology (Japan), 2018.

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Jaurola, Miikka ; Hedin, Anders ; Tikkanen, Seppo ; Huhtala, Kalevi. / TOpti : a flexible framework for optimising energy management for various ship machinery topologies. Julkaisussa: Journal of Marine Science and Technology (Japan). 2018.

Bibtex - Lataa

@article{e9405b02b8d7468b87c013f640884cd6,
title = "TOpti: a flexible framework for optimising energy management for various ship machinery topologies",
abstract = "In the early stages of the ship design process, the system designer must choose which type of machinery system will be used to power the ship. Hybrid power systems, which are familiar in the automotive industry, have started making a breakthrough in the marine industry. However, defining the length of the financial payback period is not trivial for ship designers, which makes it harder to adopt these more expensive technologies. The shortage of on-board machinery integration software for maritime engineers has motivated the authors of this article to develop a tool that can assist ship designers in making the right choices early in the design process. Discovering the optimal power system design for a specified vessel’s operation requires optimal machinery control. This article presents a novel method to optimise the machinery control of a system specified by the tool user. A case study is presented using a fishing boat with both diesel-mechanical and hybrid electric power systems.",
keywords = "Fishing boat, Hybrid propulsion, Numerical optimisation, Optimal energy management, Ship power system",
author = "Miikka Jaurola and Anders Hedin and Seppo Tikkanen and Kalevi Huhtala",
year = "2018",
doi = "10.1007/s00773-018-0617-4",
language = "English",
journal = "JOURNAL OF MARINE SCIENCE AND TECHNOLOGY",
issn = "0948-4280",
publisher = "Springer Verlag",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - TOpti

T2 - a flexible framework for optimising energy management for various ship machinery topologies

AU - Jaurola, Miikka

AU - Hedin, Anders

AU - Tikkanen, Seppo

AU - Huhtala, Kalevi

PY - 2018

Y1 - 2018

N2 - In the early stages of the ship design process, the system designer must choose which type of machinery system will be used to power the ship. Hybrid power systems, which are familiar in the automotive industry, have started making a breakthrough in the marine industry. However, defining the length of the financial payback period is not trivial for ship designers, which makes it harder to adopt these more expensive technologies. The shortage of on-board machinery integration software for maritime engineers has motivated the authors of this article to develop a tool that can assist ship designers in making the right choices early in the design process. Discovering the optimal power system design for a specified vessel’s operation requires optimal machinery control. This article presents a novel method to optimise the machinery control of a system specified by the tool user. A case study is presented using a fishing boat with both diesel-mechanical and hybrid electric power systems.

AB - In the early stages of the ship design process, the system designer must choose which type of machinery system will be used to power the ship. Hybrid power systems, which are familiar in the automotive industry, have started making a breakthrough in the marine industry. However, defining the length of the financial payback period is not trivial for ship designers, which makes it harder to adopt these more expensive technologies. The shortage of on-board machinery integration software for maritime engineers has motivated the authors of this article to develop a tool that can assist ship designers in making the right choices early in the design process. Discovering the optimal power system design for a specified vessel’s operation requires optimal machinery control. This article presents a novel method to optimise the machinery control of a system specified by the tool user. A case study is presented using a fishing boat with both diesel-mechanical and hybrid electric power systems.

KW - Fishing boat

KW - Hybrid propulsion

KW - Numerical optimisation

KW - Optimal energy management

KW - Ship power system

U2 - 10.1007/s00773-018-0617-4

DO - 10.1007/s00773-018-0617-4

M3 - Article

JO - JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

JF - JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

SN - 0948-4280

ER -