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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Bibliographic Details
Main Author: Grant, Michael
Other Authors: Dong, Zuomin
Format: Others
Language:English
en
Published: 2021
Subjects:
MBD
DOF
EV
FES
BES
HES
ESS
CFD
LNG
MMG
Online Access:http://hdl.handle.net/1828/13308
id ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-13308
record_format oai_dc
spelling 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
collection NDLTD
language English
en
format Others
sources NDLTD
topic 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
spellingShingle 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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