How operators use data to optimise engine performance...How operators use data to optimise engine...

How operators use data to optimise engine performance

Vessel Optimisation Webinar Week

Part of

3-5 March 2021

3 March 2021 • 14:00-14:45 GMT

Sponsored by

Panellist documents

Page 2: Thomson John, Aquametro Oil & MarinePage 12: Zoe Lygizou-Karlou & Sokratis Demesoukas, Propulsion AnalyticsPage 27: Rajiv Malhotra, Thome GroupPage 35: Sunil Kapoor, FML Ship Management

Fuel, Power & Propulsion Efficiency Measurement

Mr. Thomson John

International Sales Manager

Aquametro Oil & Marine AG

Therwil, Switzerland

OPTIMISING ENGINE PERFORMANCE

Why Fuel Performance Measurement ?

OPERATIONAL EFFICIENCY

ENVIRONMENTAL GOALS

REAL TIME DATA

You can Monitor only what you can Measure

Contoil Flowmeter Shaft Power Meter

HomogenizerViscomaster Diesel Switch

Remote Monitoring / Fuel Performance System

Since 1928, the name Aquametro has been synonymous with metering technology

AOM Product Portfolio

AOM Contoil Flowmeters

HIGH ACCURACY

VOLUME & MASS MEASUREMENTS

SPACE SAVING INSTALLATION

COST EFFECTIVE & LOW MAINTENANCE

Engine Fuel Consumption Measurement

Blue: CoriolisRed: Aquametro

AOM Contoil FlowmetersComparison with a Coriolis Mass Flowmeter

AOM Shaft Power Meters

RPM, TORQUE & POWER SIGNALS

MAINTENANCE FREE

NO INSTALLATION ON SHAFT

HULL & PROPELLER EFFICIENCY

Engine Performance & Propulsion efficiency

Φ

AOM Remote Monitoring & Fuel Performance

system.

Visualization of Measured data

EEOI, CO2 REPORTING (MRV)

KPI ANALYSIS & TREND CURVES

RECORD ALL SHIP OPERATION DATA

MODULAR DESIGN

Open PLC WEB based system

Change in Propeller Curve over time

Ideal Sea Trial Curve

Power Vs RPM

Mr. Thomson JohnInternational Sales Manager Aquametro Oil & Marinetjo@aquametro-oil-marine.com

Zoe Lygizou-KarlouCommunications & Marketing Executivezoe.lygizou@propulsionanalytics.com

Performance ManagementFOR THE MARITIME INDUSTRY

Vessel Optimization Webinar WeekHow operators use data to optimize engine performance

Wednesday 3 March 2021- Time: 14:00-14:45 GMT

Sokratis DemesoukasEngine Performance Managersokratis.demesoukas@propulsionanalytics.com

Fusion of engine and vessel performance evaluation

Who we are

2018Gold Bite Award with

2014 2016Selected by

for the development of their on-boardEngine Diagnostic System EDS

FoundedAthens and Piraeus

Greece

• Engine performance assessment & fault diagnosis

• Vessel performance evaluation

At we specialize in Performance Management Solutions for the maritime industry.

We use Simulation models, Data analytics & Machine-learning to provide:

For the technical teams in the shore office

providing full overview and assessment

of engines in their vessels and fleet.

Engine Performance Management Suite

Engine Hyper Cube®

Based on an advanced thermodynamic model, calibrated with engine Shop tests and validated with Sea trials.

Core technology

We create a“Digital-Twin”

For each specific engine

The Digital-Twin can provide the “reference” values of all performance parameters (how the engine should be) at any operating condition.

Engine Hyper Cube®

Measured data

(dynamic) Reference

Engine Hyper Cube®

Vessel Fouling

$ $

Input: more $$ (fuel) Output: Same Speed

Vessel fouling + Bad Weather

The Vessel Performance issue

extra FOC vs time Maps

FOC/speed Comparisons

Cleaning events assessment

2-3%

Vessel Performance, Shipping Company needs

QUAD

Incoming data filtering and overview

Sensor malfunction alerting

Voyage info

Speed/FOC tables

Fouling History

Cleaning events

Ship and Fleet CO2 emissions totaling

Vessel Comparisons

Vessel Performance Evaluation Software

$

Input: more $ $ (fuel) Output: same Speed

Engine Problems

$

The Vessel Performance issue

Introducing an innovative methodology for vessel performance evaluation

which combines

Thermo-f lu id-dynamics on propuls ion machinery a n d

Analyt ics (machine learning) on cont inuous recorded pur i f ied vesse l data

E n g i n e H y p e r C u b e ® QUAD

+ =VesselQUAD ®

dB

Raw DATA from ships

data

Filters

Clean data< 5 min

MetoceanHindcasts

E n g i n e H y p e r C u b e ®

Combined engine, vessel and fleet performance evaluation

Torque, FOCverification

Engine Underperformance?

Engine performance evaluation

QUAD

Verifiedenriched

data AnalyticsAlgorithms

Vessel and Fleet performance

evaluation

Fusion of QUAD plus Engine Hyper Cube® for the most accurate evaluation of vessel and engine performance

Engine performance and diagnostics included

(Accounts for engine underperformance)

High fidelity Torque, Power, FOC estimations

(can supplement Torquemeter , Fuel meter)

Provides maximum quality data for Analytics

→ Highest confidence in results and predictions

VesselQUAD ®

The most accurate vessel AND engineperformance assessment

VesselQUAD ®

1Using data for Engine Performance Optimization

2

Agenda

Objectives

Focus areas

Data accuracy

Data processing

KPIs

Decisions for improvement

3

Objectives - engine performance optimization

Sound engine availability and reliability

Energy efficiency Fuel economy Emissions control

Compliance to forthcoming regulations

4

Data accuracy

Operational data accuracy Validation in the system Manual screening in office Training the ship staff and Vessel Managers Measuring equipment – torsion meters, energy meters, flowmeters Reliability of the measuring equipment – servicing and calibration Inline sensors, auto-data loggers - Minimising human intervention

Reference data accuracy Sea trial / shop test / model test reports Updating of the changes – Engine de-rating, sea trials after upgrading

5

Data processing

ISO corrections of monthly performance data

Analyses Comparison against reference data Trend plotting and analyses Alerts for outlying parameters Comparison between similar vessels with same engine configurations

System generated preliminary e-mail reports – for promptness

Guidance on rectifying the abnormal conditions

Apt overview for each level – VM, FGM, Head of business unit

6

Key Performance Indicators

Performance Report KPIs ME Specific Fuel Oil Consumption (SFOC) Deviation of ME Power demand at reference conditions (%MCR and laden state) Maximum load to which the AE is loaded

Daily Performance Indicators ME Specific Cylinder Oil Consumption (SCOC) Temperatures – Exhaust Gas, Under Piston Space etc. AE Electrical load vs benchmark load for different conditions

Voyage / Periodic Performance indicators Energy Efficiency Operating Index (EEOI) AE utilization (average running hours per day) Average crankcase oil consumption (ltrs./day)

7

Improving efficiency - IMO GHG targets

EEXI improvement Analyses of ME operating profile Practical extent of engine de-rating / Engine Power Limitation SFOC improvement - T/C auto cut out or upgrade, Auto-tuning, Eco Cam, Eco Nozzle Alternate solutions –Waste Heat recovery, post-swirl / pre-swirl devices, propeller

redesign, rudder modification, bulbous bow modification

Carbon Intensity Index improvement Close monitoring and control of Engine performance KPIs EEOI co-relation with vessel’s DWT utilisation – To drive efficient commercial operation Analyses of AE operating profile for improving operational efficiency Auxiliary power solutions – battery power pack, Variable Frequency Drives Planning and scheduling cargo and ballast operations optimally

8THANK YOU

VESSEL OPTIMIZATION

PARIS DASHBOARD / FLEET VESSEL POSITIONS AROUND THE WORLD

OPTIMIZATION- WHY AND HOW?

• BIWEEKLY DETAILED MAIN ENGINE PERFORMANCE REPORTS FROM THE VESSELS.• THE DATA IS UPDATED IN A STANDARD FORMAT AND REVIEWED BY OFFICE AND MAKERS (MHI , EGICS

YANMAR SHIP SUPPORTER).• BASIS ANALYSIS FEEDBACK IS SEND TO THE VESSELS

MAIN ENGINE AND AUX ENGINES -PERFORMANCE ANALYSIS

CASE STUDY 1 :PROPELLER MODIFICATION

• THREE SISTER VESSELS FROM THE SAME SHIPYARD , BUILT SAME YEAR, SAME DEADWEIGHT

• VESSEL PERFORMAMCE OF ONE VESSEL IS LOWER THAN THE OTHER IN TERMS OF SLIP, SPEED AND FUEL CONSUMPTION

• PROPELLER BLADES TRIMMED

• RESULT: THE LIGHT RUNNING MARGIN INCREASED AND THE OPTIMUM FUEL CONSUMTPION AND SPEED WAS ACHEIVED

PERFORMANCE OPTIMIZATION MEASURESCASE STUDIES

PROPELLER BLADE TIPS MODIFICATION OUTLINE POWER CURVE AFTER MODIFCIATION OF PROPELLER

CASE STUDY 2 :OPTIMIZING PERFORMANCE BASIS WEATHER CONDITIONS

• VESSELS ARE ENROLLED IN THE WNI PLATFROM. THIS PROVIDES ON A DAILY BASIS FEEDBACK ON THE SPEED, CONSUMPTION AND WETAHER CONDITIONS

• WEATHER CONDITIONS AND OCEAN CURRENTS ARE ANALYSED IN THE OFFICE AND APPROPRIATE INSTRUCTIONS ARE SEND TO THE MASTER.

• IN CASE ANY TYPHOONS OR LOWS ARE DEVELOPING IN THE AREA, TIMELY ALERTS ARE SEND TO THE VESSEL DEFINING ROUTE DIVERSIONS OR SPEED ALTERATIONS ( STOP / DRIFT )

• RESULT: VESSELS HAVE ACHIEVED THE DESIRED RESULTS AND PERFORMANCE DURING THEIR VOGAYAGE

CASE STUDY 3:TRIM & DRAFT OPTIMIZATION

The trim and/or draft of the ship affects the hull resistance and hence the fuel consumption. By actively planning cargo loading and thereby optimizing the trim and draft, one can save fuel and reduce the emissions accordingly.

Trim vs Speed table for a Post Panamax vessel built at Oshima Yard

Red Cells – Indicate Trims which are unfavorable to the vessel’s speed and ME consumption (More than 2.0 % rise in BHP needed for same speed)

Yellow Cells – Indicate Trims with an increase below 2% in Fuel consumption

Green Cells - Indicate trims which are favorable for speed vs ME consumption characteristics