ECO Insight Fleet Performance Management · ECO Insight Fleet Performance Management Typical...

ECO Insight

Fleet Performance ManagementTypical performance levers / case studies

ECO Insight - Customer conference 05.05.2017

Fleet performance management in cooperation with DNV GL

• Vessel following the required speed:

Speed variation (performance)

• Vessel speed to high in the beginning:

3 more ships with ETA-speed mismatch

One class of 10 sister ships (container)

*filtered for ME consumer and sailing mode; March-2017

Ship A Ship B

Ship A

Ship B


• Unutilized AE capacity is an indicator• Investigation reveals 5 ships with AE utilization issues

AE utilization (performance)

*filtered for AE consumer and sailing mode; Q1-2017

Calculated AE SFOC (not ISO corrected)

One class of 10 sister ships



Ship B

Ship A


• One AE running

AE utilization (good and bad performer)

• Two AE’s running for load of one AE

5 ships with AE utilization issues*filtered for AE consumer and sailing mode; March-2017

Ship A

Ship A

Ship B

Ship B


• Container ship should not use auxiliary boiler at sea, for certain ME load.

Boiler consumption at sea is a strong lever

*filtered for B consumer and sailing mode; Q1-2017

Total consumption for Q1: Consumption per day:

Top 4 consume 225 mt with boiler at sea for Q1-2017

Can that be avoided?

One class of 10 sister ships (container)


Ship B

Ship A


• Unusual boiler consumption. Can that be reduced?

Boiler at sea (bad performer)


Ship B

Ship B

Ship B

B


• Good performer

Boiler at sea (good performer)


Ship A


• SCOC of Ship B with 1.32 g/kWh much higher than peer group

Cylinder oil consumption (bad performer)

*filtered for sailing mode; Q1-2017

Ship B


• For comparison:Ship A with 0.67 g/kWh quite good SCOC performance

Cylinder oil consumption (good performer)


Ship A


• Huge difference in trim performance with in the fleet• If first 6 ships can improve trim and save 2% in average, 360 mt can be saved for Q1

Trim optimization performance

Ship ME FOC/d [mt]

2% saving [mt]

Saving FOC for Q1 [mt] (50% sailng)

Ship 1 68.4 1.4 62

Ship 2 88.7 1.8 80

Ship 3 28.0 0.6 25

Ship 4 69.4 1.4 62

Ship 5 64.3 1.3 58

Ship 6 83.5 1.7 75

Total for 6 ships in Q1 362

*filtered for ME consumer and sailing mode; Q1-2017

Fleet with different classes

container

Ship A1Ship A2

Ship B1Ship B2


• Following the trim advice:(Forward trim is limited in operation)

Trim optimization (performance)

• Room for improvement:


Ship A1

Ship A2 Ship B2

Ship B1


• Introduction of trim optimization tool leads to savings

Trim practice improved

-1,90

Q4 2016

1,90

5,10

Q4 2015

2,70

7,00

difference to optimum [m]Trim potential [%]

Trim optimization


• Scav air pressure low• TC speed low

• Cleaning of air cooler?• Air filter cleaning?• TC cleaning?

• Exh gas temp high• Poor TC performance• Fuel injector / pump check

More soot deposits whilst slow steaming, caused by increased back pressure (e.g.)

ME T/C performance

Ship A, ME 1

Ship A, ME 1

Ship A, ME 1


Bulker A• New coating in summer 2015• H&P degradation through 2016

• Propeller cleaning and of 2016• Improvement in h&p performance

• Ships crew had been trained on execution and reporting of snapshot

• Scatter reduced significantly

Hull & propeller performance (1)

Ship A

Ship A


Bulker B• H&P degradation down to 80% for

2016 period (average)• Propeller cleaning Q4 2016

• Conditions out of range for period without data

• Reduced scatter by training

Hull & propeller performance (2)

Ship B

Ship B


• Improvement on CP compliance

Consumption deviation from CP curve

container


Period A

CP curve (daily consumption over speed)

Period B

Period A Period BCP condition CP condition


• Effective hull cleaning increased performance by 20%

Hull cleaning event

container

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ECO Insight Fleet Performance Management · ECO Insight Fleet Performance Management Typical...

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