New modelling and simulation methods to support clean marine propulsion
The marine industry has increased its adoption of pure-electric, diesel-electric, and other non-traditional propulsion architectures to reduce ship emissions and fuel consumption. While these technologies can improve performance, the design of a propulsion system becomes challenging, given that no s...
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ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-133082021-08-25T17:32:57Z New modelling and simulation methods to support clean marine propulsion Grant, Michael Dong, Zuomin model-based design MBD hybrid marine propulsion optimization simulation ship vessel DOF motion propeller torque thrust diesel-electric all-electric EV FES BES PHES HES ESS energy automation autonomous resistance hull ocean current added mass platform CFD hybrid electric batteries ultra capacitors emissions fuel consumption LNG motor engine energy management strategy control power energy wind waves strain coefficient hydrodynamic derivative MMG Maneuvering Modeling Group manoeuvring ferry design electric diesel azimuth thruster podded fouling roughness autopilot The marine industry has increased its adoption of pure-electric, diesel-electric, and other non-traditional propulsion architectures to reduce ship emissions and fuel consumption. While these technologies can improve performance, the design of a propulsion system becomes challenging, given that no single technology is superior across all vessel types. Furthermore, even identical ships with different operating patterns may be better suited to different propulsion technologies. Addressing this problem, previous research has shown that if key elements of a vessel's operational pro file are known, simulation and optimization techniques can be employed to evaluate multiple propulsion architectures and result in a better propulsion system design and energy management strategy for a given vessel. While these studies have demonstrated the performance improvements that can be achieved from optimizing clean marine propulsion systems, they rely on vessel operational profiles obtained through physical measurement from existing ships. From a practical point of view, the optimization of a vessel's propulsion system needs to occur prior to a vessel's construction and thus precludes physical measurement. To this end, this thesis introduces a marine simulation platform for producing vessel operational profiles which enable propulsion system optimization during the ship design process. Core subsystem modules are constructed for simulating ship motions in 3 degrees of freedom and result in operational profile time-series, including propulsion power. Data is acquired from a benchmark vessel to validate the simulation. Results show the proposed approach strikes a balance between speed, accuracy, and complexity compared with other available tools. Graduate 2021-08-24T19:56:27Z 2021-08-24T19:56:27Z 2021 2021-08-24 Thesis http://hdl.handle.net/1828/13308 English en Available to the World Wide Web application/pdf |
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model-based design MBD hybrid marine propulsion optimization simulation ship vessel DOF motion propeller torque thrust diesel-electric all-electric EV FES BES PHES HES ESS energy automation autonomous resistance hull ocean current added mass platform CFD hybrid electric batteries ultra capacitors emissions fuel consumption LNG motor engine energy management strategy control power energy wind waves strain coefficient hydrodynamic derivative MMG Maneuvering Modeling Group manoeuvring ferry design electric diesel azimuth thruster podded fouling roughness autopilot |
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model-based design MBD hybrid marine propulsion optimization simulation ship vessel DOF motion propeller torque thrust diesel-electric all-electric EV FES BES PHES HES ESS energy automation autonomous resistance hull ocean current added mass platform CFD hybrid electric batteries ultra capacitors emissions fuel consumption LNG motor engine energy management strategy control power energy wind waves strain coefficient hydrodynamic derivative MMG Maneuvering Modeling Group manoeuvring ferry design electric diesel azimuth thruster podded fouling roughness autopilot Grant, Michael New modelling and simulation methods to support clean marine propulsion |
description |
The marine industry has increased its adoption of pure-electric, diesel-electric, and other non-traditional propulsion architectures to reduce ship emissions and fuel consumption. While these technologies can improve performance, the design of a propulsion system becomes challenging, given that no single technology is superior across all vessel types. Furthermore, even identical ships with different operating patterns may be better suited to different propulsion technologies. Addressing this problem, previous research has shown that if key elements of a vessel's operational pro file are known, simulation and optimization techniques can be employed to evaluate multiple propulsion architectures and result in a better propulsion system design and energy management strategy for a given vessel. While these studies have demonstrated the performance improvements that can be achieved from optimizing clean marine propulsion systems, they rely on vessel operational profiles obtained through physical measurement from existing ships. From a practical point of view, the optimization of a vessel's propulsion system needs to occur prior to a vessel's construction and thus precludes physical measurement. To this end, this thesis introduces a marine simulation platform for producing vessel operational profiles which enable propulsion system optimization during the ship design process. Core subsystem modules are constructed for simulating ship motions in 3 degrees of freedom and result in operational profile time-series, including propulsion power. Data is acquired from a benchmark vessel to validate the simulation. Results show the proposed approach strikes a balance between speed, accuracy, and complexity compared with other available tools. === Graduate |
author2 |
Dong, Zuomin |
author_facet |
Dong, Zuomin Grant, Michael |
author |
Grant, Michael |
author_sort |
Grant, Michael |
title |
New modelling and simulation methods to support clean marine propulsion |
title_short |
New modelling and simulation methods to support clean marine propulsion |
title_full |
New modelling and simulation methods to support clean marine propulsion |
title_fullStr |
New modelling and simulation methods to support clean marine propulsion |
title_full_unstemmed |
New modelling and simulation methods to support clean marine propulsion |
title_sort |
new modelling and simulation methods to support clean marine propulsion |
publishDate |
2021 |
url |
http://hdl.handle.net/1828/13308 |
work_keys_str_mv |
AT grantmichael newmodellingandsimulationmethodstosupportcleanmarinepropulsion |
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1719472508352069632 |