by Embracing Simulation & Digitalization

Energy Efficient ShipDesign & Operation

Deltamarin Ltd.

Thousands of concepts

Hundreds of vessels sailing

More than

25 years of

experience

Established

1990in Finland

1998Office in

Croatia

First

B.Deltadesign

First

FPSOproject

2006Office in

China

2008Office in

Poland

2013AVIC buys

79,7 % ofDeltamarin

shares

2014Business

expands to

EPCM

2016400

employees

Efficient

Deltadesigns

2015Turnover

exceeds €

36 M

Continuously

setting

NEW

TRENDS

Solutions for

the entire lifecycle.

Ship energy efficiency

Ship design energy efficiency challengeKey Performance Indicator KPI

Time during shipdesign process

?

Holistic ship system simulation

Deltamarin’s energy flow simulation tool

• Dynamic, efficient and accurate view of the shipprocesses− Development started in 2009

− Modelling environment is Matlab, Simulink and Simscape

• Case specific energy flow modelling− Combining design data and measured data

• Shows the improvement potential in existing vessels already during ship concept design stage− Rapid testing for operational changes and system updates

− Where the energy is produced and consumed?

− How much can be saved?

• Helps to explain conflicts between system design and real-life operation

• The most feasible fuel saving solutions are obtained based on accurate and reliable simulations for the selected ship

Model inputs and results

• Key input parameters

− Operation profile

− Power requirements of various

systems

− Machinery configuration

− Fuel data

• Result examples

− Fuel consumption

− Dynamic and cumulative

energy distribution inside the

ship

− Optimal heat recovery setup/

hybrid machinery…

− Evaluations of ship autonomy

− Emission calculation

Battery sizing for a Ro-Pax vessel

Fuel energy utilization basedon a simulated profile

0

20

40

60

80

100

7.3.2017 0:00:00 7.3.2017 6:00:00 7.3.2017 12:00:00 7.3.2017 18:00:00 8.3.2017 0:00:00 8.3.2017 6:00:00 8.3.2017 12:00:00 8.3.2017 18:00:00 9.3.2017 0:00:00

SteamCalc.BoilerTotal (kg/h) [0-10000]

SteamCalc.DumpTotal (kg/h) [0-10000]

RAW_SOG.AVG1minute - Speed over ground [0-24]

Assessing profitability

• 𝑈𝑡𝑖𝑙𝑖𝑧𝑎𝑡𝑖𝑜𝑛 𝑑𝑒𝑔𝑟𝑒𝑒 =𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑝𝑜𝑤𝑒𝑟

𝑀𝑎𝑥𝑖𝑚𝑢𝑚 𝑝𝑜𝑤𝑒𝑟

• Correlates directly with payback time

• Requires dynamic simulation

• preliminary pay back time indicators added in simulation tool

• WHR equipment example:

Energy modelling during ship project

phases

Early conceptualizingKPI

• Choosing the main dimensions, preliminary hulldesign and machinery conceptgeneration

• First energy modelcompiled byutilizing suitableoperational data

• Typical efficiencyimprovement10…30%

Contract designKPI

• System optimization

• Updated energymodel with moreaccurate data

• Typical efficiencyimprovements…10%

Basic and detail designKPI

• System developmentand equipmentchoices

• Smart dimensioning of equipment for operational efficiencyand optimized costs

• Updated energymodel with moreaccurate data

• Typical efficiencyimprovements …5%

OperationsKPI

• Focus on operationalimprovements

• Energy management

– Continuous data analysis and decisionsupport

• Typical efficiencyimprovementsstarting from 5%

– Very case dependent

Summary

Optimization of ship efficiency

• Considering theactual operationalconditions and profile as a startingpoint for optimization

• Monitoring the KPI(s)

• Analysing the energyflows and continuousimprovements

• Special focus on theearly concept stage

Time

Shipefficiency / KPI

Ref. ship

Alternative designs

”Optimal design”

Successful energymanagement

mia.elg@deltamarin.com