modelling ship energy processes with multi-domain simulation
DESCRIPTION
Modelling Ship Energy Processes With Multi-Domain SimulationTRANSCRIPT
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Modelling Ship Energy Processes with
Multi-Domain Simulation
Seminar for engine technologies
In Espoo on May 3, 2012
Presenter: Kari Tammi, Research Professor
Team: Guangrong Zou, Riku Salokangas,
Matti Jussila, Mia Elg, Aleksi Halinen,
Kalevi Tervo, Panu Kovanen
FIMECC/EFFIMA funded by TEKES
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Contents
Introduction Methodology for the Simulator
The Ship Energy Flow Simulator
Model Validation First Results
Conclusions
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Ship Energy Efficiency
Increasing Fuel need
Increasingly high Fuel cost
Accumulatively strict IMO rules
EEDI energy efficiency design index
EEOI energy efficiency operational indicator
SEEMP Ship energy efficiency management plan
Come into force soon!
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Many SEEMP already exists, e.g., ABB EMMA system
Ship Energy Efficiency
A simple but efficient tool is still needed to represent the energy distribution and consumption throughout the entire ship
Ship Energy Flow Simulator
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Contents
Introduction
Methodology for the Simulator The Ship Energy Flow Simulator
Model Validation First Results
Conclusions
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Methodology for the simulator
A general simulation tool for ship power plant
To be modelled at a system level, not to represent every detail
All main sub-systems included
DG sets and electrical systems
Engine, generator, propulsion, engine room, hotel, theater,
Engine Fresh Cooling Water systems HT & LT
LT Auxliary Fresh Cooling Water systems
LT propulsion Fresh Cooling Water systems
Steam powered systems EGE, OFB, steam drum, pump,
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The simulated processes simplified electrical processes
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The simulated processes simplified heat processes
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Domains and their component libraries
Different physical interactions are modelled in DOMAINS in Simscape
Domains involved in the simulator modelling
Mechanical domain (,) To model the DG sets Thermal domain (,) To model the heat exchanging process Electrical AC domain ( , ) To model the electrical systems Thermal fluid domain (,, ,) To model the HT and LT systems Steam domain (,, ,) To model the steam powered systems
Component libraries for each self-developed domain
Engine, generator, pump, thermostat, evaporator, boiler,
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Contents
Introduction
Methodology for the Simulator
The Ship Energy Flow Simulator Model Validation First Results
Conclusions
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The Ship Energy Flow Simulator
Sub systems Electrical AC 4 DG sets HT FCW STEAM LT AUX FCW LT POD FCW Sea Water Data processing Result display
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Sub-system DG set
The Ship Energy Flow Simulator
Data Source Wrtsila 46 engine project guide
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Contents
Introduction
Methodology for the Simulator
The Ship Energy Flow Simulator
Model Validation First Results Conclusions
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Model validation First results
Partial validation only
A large bunch of real-world data is needed for validation
Extremely difficult to get the data needed, as predicted in the initial plan
Some reasonable assumption based on the avaliable data
The available data from a case ship
Full data for Electrical AC system
Main data for HT FCW system
Partial data for STEAM system
LT AUX and POD FCW systems
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Model validation First results DG generated power real, simulation and their comparison
Ratio = Simulation / real mostly within [0.95 1]
0 1 2 3 4 5 6
x 105
0.5
1
1.5
2
2.5
3
3.5
4
4.5x 10
7
Time (s)
Pow
er (W
)
DG power - measured data
0 1 2 3 4 5 6
x 105
0
0.5
1
1.5
2
2.5
3
3.5
4
x 107
Time (s)
Pow
er (W
)
DG power - simulation results
0 1 2 3 4 5 6
x 105
0.8
0.9
1
1.1
1.2
1.3
Time (s)
Rat
io
DG power difference (simulation results / measured data)
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Model validation First results Total fuel consumption real, simulation and their comparison
Ratio = Simulation / real mostly within [0.95 1.15]
0 1 2 3 4 5 6
x 105
0.75
0.8
0.85
0.9
0.95
1
1.05
1.1
1.15
1.2
Time (s)
Rat
io
Fuel consumption comparison (simulation results / measured data)
0 1 2 3 4 5 6
x 105
1000
2000
3000
4000
5000
6000
7000
8000
9000
Time (s)
Fue
l com
sum
ptio
n (l/
h)
Total fuel consumption - simulation results
0 1 2 3 4 5 6
x 105
1000
2000
3000
4000
5000
6000
7000
8000
9000
Time (s)
Fue
l con
sum
ptio
n (l/
h)
Total fuel consumption - measured
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Model validation First results HT FCW sub-system simulation results
Water temperature at one engine input and output
Water massflow rate flowing through the sub-system
0 1 2 3 4 5 6
x 105
70
75
80
85
90
95
100
Time (s)
Te
mp
era
ture
(C
)
Water temperature at HT FCW engine input and output
output temperatureinput temperature
0 1 2 3 4 5 6
x 105
0
10
20
30
40
50
60
70
80
90
100
Time
Ma
ssflo
w (
kg/s
)
Water massflow rate of HT FCW system
massflow through enginemassflow to heat recovery
Those results fit the practical system very well
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Saving potential 50 000 / year in one vessel
Finer regulation of waste heat recovery temperature
One valve fine tuning
Fuel savings ~ 50 000 / year / vessel
0 10 20 30 40 50 60 70 80 90 10064
66
68
70
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76
78
80
82
84HT Temperature control of 3-way mixing thermostat
Engine Load (%)
Tem
pera
ture
(C)
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Contents
Introduction
Methodology for the Simulator
The Ship Energy Flow Simulator
Model Validation First Results
Conclusions
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Conclusions A simplified ship energy flow simulator is developed to improve ship energy
efficiency
The partial validation shows the feasibility and reliability of the energy flow
simulation method
Potential usage of the ship energy flow simulator
Help design an energy-efficient ship
Guide to efficiently operate a ship
Test and compare different energy saving technologies and ideas
Implemented into the existing SEEMP systems for online HIL simulation
Commercialization is under investigation, NOT ONLY FOR SHIP!
The project was carried out within FIMECC/EFFIMA programme and funded by TEKES
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VTT creates business from technology
Modelling Ship Energy Processes with Multi-Domain SimulationContentsShip Energy EfficiencyShip Energy EfficiencyContentsMethodology for the simulatorThe simulated processes simplified electrical processesThe simulated processes simplified heat processesDomains and their component librariesContentsThe Ship Energy Flow SimulatorThe Ship Energy Flow SimulatorContentsModel validation First resultsModel validation First resultsModel validation First resultsModel validation First resultsSaving potential 50 000 / year in one vesselContentsConclusionsSlide Number 21