ABB’s Marine Advisory Systems Energy Management Tool as …€¦ · © ABB Group February 28,...

© ABB GroupFebruary 28, 2014 | Slide 1

ABB’s Marine Advisory SystemsEnergy Management Tool asPerformance Improvement Platform

Jukka Ignatius, Vessel Information and Control, ABB Oy Marine

© ABB GroupFebruary 28, 2014 | Slide 2

ABB’s Marine Advisory SystemsFundamentals

“ABB believes that assessing the vessel’s trueperformance is the absolute minimum requirement

for improvement on energy efficiency.”

© ABB GroupFebruary 28, 2014 | Slide 3

ABB’s Marine Advisory SystemsFundamentals

“The true performance can only be assessed fromthe vessel it self by collecting full scale

measurements from the real operations.”

© ABB GroupFebruary 28, 2014 | Slide 4

ABB’s Marine Advisory SystemsFundamentals

“The relationship between vessel’s energyconsumption, the surrounding weather, loading

condition, hull & propeller condition must be foundto establish the minimum requirement.”

© ABB GroupFebruary 28, 2014 | Slide 5

ABB’s Marine Advisory SystemsBenchmarking the Vessel

Again they blameme for consumingtoo much fuel oil.I wonder how do Ireally perform?

I can helpyou with

that!

But how? I have allkinds of disturbances

slowing me down.And besides my

superintendent thinksI’m a low performer.

That’s verylikely not theproblem! Letme show…

© ABB GroupFebruary 28, 2014 | Slide 6

MeasureMeasure

ABB’s Marine Advisory SystemsBenchmarking the Vessel

First step is to measure from fullscale.

We call this the learning period.

Approximately 20 signals will do.

Length of learning perioddepends on operational profile,but varies typically between 1-3months.

© ABB GroupFebruary 28, 2014 | Slide 7

MeasureMeasure

AnalyseAnalyse

ABB’s Marine Advisory SystemsBenchmarking the Vessel

Second step is regressionanalysis.

ABB’s mathematicians create amultidimensional non-linearregression model of themeasurements.

This model reveals therelationship betweenmeasurements mostly affectingthe performance of the vessel.

© ABB GroupFebruary 28, 2014 | Slide 8

MeasureMeasure

AnalyseAnalyse

ChangeChange

ABB’s Marine Advisory SystemsBenchmarking the Vessel

Third, and final step in oneiteration, is to change something.

Using the baseline provided bythe regression analysis, the realeffect on energy consumption canbe revealed.

The possible changes include,but are not limited to: Trim,speed, engine modes, hullcoating, propeller/hull cleaning.

© ABB GroupFebruary 28, 2014 | Slide 9

ABB’s Marine Advisory SystemsBenchmarking the Vessel

Sounds prettybrilliant on

PowerPoint,but does it

really work?

Let me showyou some

real lifeexamples.

© ABB GroupFebruary 28, 2014 | Slide 10

ABB’s Marine Advisory SystemsFull Scale Measurement – Raw data

© ABB GroupFebruary 28, 2014 | Slide 11

ABB’s Marine Advisory SystemsFull Scale Measurement – Normalized data

© ABB GroupFebruary 28, 2014 | Slide 12

ABB’s Marine Advisory SystemsWhat Lies Between?

?

© ABB GroupFebruary 28, 2014 | Slide 13

ABB’s Marine Advisory SystemsBenchmarking the Vessel

Thank you!Finally I have a way to assess

my performance and compare itto my sisters and half-sisters.

My pleasure,you are

welcome!

But pleasetell me, whoor what are

you??

© ABB GroupFebruary 28, 2014 | Slide 14

ABB’s Marine Advisory SystemsThe Solution

EMMA™ Advisory SuiteABB’s Energy Management Solutionfor any type of vessel & operation.

© ABB GroupFebruary 28, 2014 | Slide 15

ABB’s Marine Advisory SystemsExamples of the Modules

Fuel & Energy ManagementReport & analyse the real fuel oil and

energy consumption.

© ABB GroupFebruary 28, 2014 | Slide 16

ABB’s Marine Advisory SystemsExamples of the Modules

Power Plant OptimizerSimulate and optimize the D/E or hybrid

power plant to use the least possible fuel.

© ABB GroupFebruary 28, 2014 | Slide 17

EMMA™ Advisory SuiteDynamic Trim Optimization

Optimum Trim

Dynamic Trim OptimizerVisualize and advice on the optimum trim

for any loading condition

Optimum Trim

© ABB GroupFebruary 28, 2014 | Slide 18

ABB’s Marine Advisory SystemsExamples of the Modules

Speed AdviceClearly advice the optimum RPM to reachthe desired time of arrival in any weather.

© ABB GroupFebruary 28, 2014 | Slide 19

EMMA™ Advisory SuiteIncreasing the Transparency Onboard the Vessel

With EMMA’s Dynamic Trim Optimizerthe Fuel & Energy Management can beextended to calculate and visualize the realtime breakdown of propulsion power.

Breakdown is vessel and operationsdependent, usually itemizing losses to:§ Dynamic Trim,§ Wind,§ Sea State,§ Squat and§ Sea current

Clearly Visualize How thePropulsion Power is Actually Used!

© ABB GroupFebruary 28, 2014 | Slide 20

EMMA™Comprehensive Energy Flow

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

© ABB GroupFebruary 28, 2014 | Slide 21

EMMA™Comprehensive Energy Flow

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

EMMA Fuel & Energy Management

Monitoring

© ABB GroupFebruary 28, 2014 | Slide 22

EMMA™Comprehensive Energy Flow

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

EMMA Fuel & Energy Management

EMMA Power Plant Optimizer

Monitoring Optimizing

© ABB GroupFebruary 28, 2014 | Slide 23

EMMA™Comprehensive Energy Flow

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

EMMA Fuel & Energy Management

EMMA Power Plant Optimizer

EMMA Dynamic Trim Optimizer

Monitoring Optimizing

© ABB GroupFebruary 28, 2014 | Slide 24

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

EMMA™Comprehensive Energy Flow

EMMA Fuel & Energy Management

EMMA Power Plant Optimizer

EMMA Dynamic Trim Optimizer

EMMA Clean Hull (available Q2/2014)

Monitoring Optimizing

© ABB GroupFebruary 28, 2014 | Slide 25

Fuel

TotalPower

Propulsion

Resistance

Residual

Wavemaking

Viscouspressure

SkinFriction

Trim Wind Sea State Squat Other

Thrusters Engine Aux Other

Laundry

Galley

Lighting

Stores

HVAC

Other

Waste Heat &Steam

EMMA™Comprehensive Energy Flow

EMMA Fuel & Energy Management

EMMA Power Plant Optimizer

EMMA Dynamic Trim Optimizer

EMMA Clean Hull (available Q2/2014)

EMMA Speed Optimizer

Monitoring Optimizing

© ABB GroupFebruary 28, 2014 | Slide 26

@Office

ABB’s Fleet ControlAutomatic synchronization

FleetControl

@Home

FleetControl

Microsoft AzureCloud Service

ShipsShipsShips

Target,Baseline,Ranking

Measurements,Calculations,

KPIs

EMMATM

© ABB GroupFebruary 28, 2014 | Slide 27

ABB’s Fleet ControlIncreasing the Transparency to the Office

EMMA Fleet Control increasesthe awareness by offering afull transparency to the fleetsfuel & energy consumptionand optimization level

Access your dataanytime, anywhere!

© ABB GroupFebruary 28, 2014 | Slide 28

Case Study: EMMA Dynamic Trim Optimizer

§ Data for this study was automatically collectedfrom the ship (192 m multipurpose vessel) on ahigh frequency.

§ The data was measured for 6 months. The datawas filtered for a subset of:§ Draft between 9 m and 10 m§ Speed range from 14 knots to 17 knots

§ The resulting subset consisted of about 20 daysof data.

§ No other modifications during the test period§ The used data was based on measured draft,

speed through water, shaft power and trim of theship.

Study of fuel savings

© ABB GroupFebruary 28, 2014 | Slide 29

Case Study: EMMA Dynamic Trim OptimizerResults

§When the trim was optimized, there was asignificant drop in propulsion power§ Improvement of 10% from worst cases§An average of 5% decrease was recorded

Average badtrim 3850 kW

Average goodtrim 3650 kW

Savings yearly 330 mt of HFO (with 60 % sailing time)

© ABB GroupFebruary 28, 2014 | Slide 30

Case Study: EMMA Speed Optimizer

§ The study was done on generalcargo vessel§ The vessel was operating between

Europe and Americas (except onetrip to pacific which was skipped inverification)§ There was no modifications done to

the vessel during the study period§ The crew was trained on using the

EMMA Speed Optimizer

The vessel

© ABB GroupFebruary 28, 2014 | Slide 31

Case Study: EMMA Speed OptimizerRPM histogram

© ABB GroupFebruary 28, 2014 | Slide 32

Case Study: EMMA Speed OptimizerFuel consumption histogram

Saving yearly 951 mt of HFO (with 200 days sailing/year)

© ABB GroupFebruary 28, 2014 | Slide 33

ABB’s Marine Advisory SystemsBut on what cost?

Lovely stuff, but thetimes are bad.

There is no way I canafford this fancy system.

No worries!

You can alsorent me!

Pay of thesavings!