FUELTRAX SET THE STANDARD. March 2018

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Eustacia Underwood
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1 FUELTRAX SET THE STANDARD March 2018

MARITIME ECONOMIC CHALLENGES Increasingly challenging times for maritime industries Marine vessel stakeholders (operators, managers, owners, charterers, et al.

2 MARITIME ECONOMIC CHALLENGES Increasingly challenging times for maritime industries Marine vessel stakeholders (operators, managers, owners, charterers, et al.) are all under pressure to find smart solutions to improve operational performance Vessels serving Offshore Production projects undergo increased scrutiny due to high risk of fuel theft Globally, losses due to oil theft could be as much as $133 billion 1 Fuel theft is an industry problem globally and not something that anyone can solve on their own. 2

3 SELF-CONTAINED SMART MARITIME SOLUTION 3

4 FUELTRAX BY THE NUMBERS Raising the standard for marine operations With hundreds of successful installations to date, our clients are seeing improved performance and costs savings with FUELTRAX on board. as published November

5 SET THE STANDARD Fuel Management Fleet Optimization Vessel Performance Fuel Security Regulation Compliance 5

nker and R.O.B. for Crew Calculates Optimum Throttle Settings, Fuel Alarming, etc.

6 FUELTRAX & FUELNET ALWAYS WORKING TOGETHER FUELTRAX On-board Measures Engine Consumption, Tank Levels, Fuel Transfers, Speed & Location Displays Real-Time Fuel Consumption, Bunker and R.O.B. for Crew Calculates Optimum Throttle Settings, Fuel Alarming, etc. FUELNET Web Portal Management Dashboard Fleet-Wide Data Historian Display & Analyze Fuel & Vessel Performance Data Browser Access to Web Portal Customized Reports & Alerts 6

7 SMART FUEL MANAGEMENT WITH DIGITALIZED FUEL DATA What methods does PETRONAS use today to gather fuel data? Gain greater insight into ever day fuel reporting for smarter fuel management with FUELTRAX onboard Coriolis Mass Flow meters collecting accurate, direct measurements of fuel consumption & transfers Density Temperature Mass Meter data points are then interpreted and digitalized into informational fuel data and reports visible in FUELNET Quality data is crucial for quality reporting Error-free management, reporting, and transparency becomes easy with smart meters Coriolis meters provide many additional benefits over other volumetric-based meters 7

8 SELF-CONTAINED SYSTEM BRINGS ADDED BENEFITS Data Integrity Data Security System Reliability/Repeatability System Support 8

VISUALIZE FUEL DATA WITH FUELNET Seeing fuel data presented in a new way is the next step in improving fleet operations and reducing costs Live data

9 VISUALIZE FUEL DATA WITH FUELNET Seeing fuel data presented in a new way is the next step in improving fleet operations and reducing costs Live data transferred every 15-minutes from ever vessel in the world Review data in reports, dashboards, plots, charts, and maps like never before Live Demo of FUELNET to follow 9

10 SET THE STANDARD Fuel Management Fleet Optimization Vessel Performance Fuel Security Regulation Compliance 10

11 FLEET-WIDE OPTIMIZATIONS FUELNET Provides 3D insight on how fuel is used by the vessel By Usage Volume (Gallons, Liters, M3, Tons over any time horizon) Rate (fuel over time Gal/Hour, etc.) Economy (fuel consumed over hull distance travelled Gal/Mile, etc.) Efficiency (increase in fuel economy using BestEconomy settings Underway) By Asset / Location Volume consumed by all vessels servicing a specific asset Volume by asset Rate by asset Duration by asset By Activity though operational MODE Fuel in Buckets This puts Fuel in Buckets, and delivers standard & custom activity trackers based on your fleet s operating parameters. Examples include: While in Port: Shore Power, Dock, Port While Traveling: Underway, Slow, Stopped While Servicing an Asset: DP, DP Outside 500, Standby 11

12 TURNING SMART DATA INTO USABLE ANALYTICS Owners can study MODES to find optimizations Time spent in certain MODES servicing an asset How a vessel is operating in that MODE vs. other vessels Analyzing the operating MODE conditions and variables can be used to define optimal working parameters Number of engines running Engine types used Preventative maintenance Throttle Optimizations You can t manage what you don t measure... - President, Inland Barge & Tug Owner 12

13 CASE STUDY OVERVIEW TURNING SMART DATA INTO USEABLE ANALYTICS Client needs to reduce total annual fuel spend in all areas of operations Fleet-wide implementation in the Gulf of Mexico closely analyzed for areas of operational improvement to reduce annual fuel spend Top 4 MODES = 79% of Annual Fuel Spend 26 Vessels Online 18 months of fuel data analyzed on across the fleet Includes vessels rotating in/out of fleet operations MODES Annual Fuel Spend per MODE Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings UNDERWAY 42.0% 10.0% 7.5% 6.6% 4.1% DP 19.5% 7.2% 5.4% 4.8% 1.6% STANDBY 8.7% 3.3% 2.5% 2.2% 1.7% DOCK 8.3% 5.2% 3.9% 3.4% 0.6% MODE OPTIMIZATION Increase Utilization to 80% Reduce 4 Engines down to 2 Engines Reduce 2 Engines down to 1 Engine Install/Require Harbor Gens OTHER 21.5% TOTAL ALL MODES 100.0% 25.7% 19.3% 17.0% 8.0% Top 4 MODES = 79% of Annual Fuel Spend 26 Vessels Online 13

14 SET THE STANDARD Fuel Management Fleet Optimization Vessel Performance Fuel Security Regulation Compliance 14

CASE STUDY PART A INCREASE USE OF FUELTRAX BESTECONOMY SAVES 4.1% Problem: The largest amount of fuel is consumed by vessels operating in UNDERWAY Mode 4.9M gal, or 41.

15 CASE STUDY PART A INCREASE USE OF FUELTRAX BESTECONOMY SAVES 4.1% Problem: The largest amount of fuel is consumed by vessels operating in UNDERWAY Mode 4.9M gal, or 41.8% of annual fuel spend in 2015 was for vessels operating in UNDERWAY Mode How can operations in UNDERWAY Mode be improved to deliver a reduction in fuel use? Solution: Vessels using BestEconomy mode achieve fuel savings through real-time throttle recommendations delivered to the Captain Vessels using BestEconomy mode over 50% of the time in UNDERWAY mode saw larger savings than vessels using it less than 50% of the time 15

16 CASE STUDY PART A INCREASE USE OF FUELTRAX BESTECONOMY SAVES 4.1% Results: Increase in utilization of BestEconomy results in an average of 4.1% reduction in fuel consumption From Jan 1, 2016 Aug 18, 2016 Vessels using BestEconomy more than 50% of the time reduced consumption an average of 6.08% Vessels using BestEconomy less than 50% time only reduced consumption by an average of 2.10% 2016 YTD Global Fleet BestEconomy - Utilization ABOVE 50% VESSEL ID TYPICAL (gal) ACTUAL (gal) UTILIZATION (%) REDUCED (gal) REDUCED (%) MV-XXX1 114, , , MV-XXX2 343, , , MV-XXX3 511, , , MV-XXX4 272, , , MV-XXX5 370, , , MV-XXX6 504, , , MV-XXX7 463, , , MV-XXX8 41, , , MV-XXX9 285, , , MV-XXX10 554, , , MV-XXX11 486, , , MV-XXX12 67, , , MV-XXX13 213, , , MV-XXX14 273, , , MV-XXX15 32, , , MV-XXX16 372, , , ,909, ,605, , YTD Global Fleet BestEconomy - Utilization BELOW 50% VESSEL ID TYPICAL (gal) ACTUAL (gal) UTILIZATION (%) REDUCED (gal) REDUCED (%) MV-XXX17 272, , , MV-XXX18 113, , , MV-XXX19 456, , , MV-XXX20 576, , , MV-XXX21 214, , , MV-XXX22 91, , , MV-XXX23 100, , , MV-XXX24 597, , , MV-XXX25 377, , , MV-XXX26 71, , MV-XXX27 381, , MV-XXX28 754, , MV-XXX29 50, , MV-XXX30 192, , MV-XXX31 330, , MV-XXX32 MV-XXX33 73, , , , ,711, ,601, ,

17 CASE STUDY PART A HOW DOES THE BESTECONOMY SETTING REDUCE COSTS? Star Captain s practices are replicated throughout the fleet FUELTRAX seeks to optimize the hulls travel through the water ( the big picture ) Fuel Consumed per Unit Distance Hull Travel (ex: gal/nm) This algorithm works for all Vessel, Engine, and Fuel types Based on Newton s Second Law of Motion (Action/Reaction) WORK = Force * Distance, where: Force = a derivative of fuel consumption in real time, measured directly by FUELTRAX meters Distance = hull travel, measured directly by FUELTRAX GPS All forces acting on vessel are planer, and therefore sum algebraically Two Throttle Settings Available BestEconomy maximize savings with small loss in speed Takes advantage of the exponential relationship between speed and fuel for marine vessels (pictured above) BestSpeed maximum speed with the minimum fuel Takes the slip out of the wheel 18

18 CASE STUDY PART A HOW CAN BESTECONOMY BE USED TO GAIN FURTHER SAVINGS? Recommendation: Increase utilization of BestEconomy Throttle Settings to reach a Top Third goal of 6.6% attainable savings Only 2/3 s of the fleet needs to increase utilization to 80% in order to reach this goal As more vessels and more vessels in the fleet reach the 80% utilization goal, the potential for fuel savings also increases BestEconomy should only be activated under appropriate operating conditions, and therefore may not be able to be activated 100% of the time MODES Annual Fuel Spend per MODE Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings UNDERWAY 42.0% 10.0% 7.5% 6.6% 4.1% DP 19.5% 7.2% 5.4% 4.8% 1.6% STANDBY 8.7% 3.3% 2.5% 2.2% 1.7% DOCK 8.3% 5.2% 3.9% 3.4% 0.6% OTHER 21.5% TOTAL ALL MODES 100.0% 25.7% 19.3% 17.0% 8.0% MODE OPTIMIZATION Increase Utilization to 80% Reduce 4 Engines down to 2 Engines Reduce 2 Engines down to 1 Engine Install/Require Harbor Gens Potential Savings Targets 12.0% 10.0% 8.0% 10.0% Maximum Attainable Savings Goal Top Quartile 75% 6.0% 4.0% 2.0% 7.5% 6.6% 4.1% Goal Top Third 66% YTD 2016 Savings 0.0% UNDERWAY 19

CASE STUDY PART B REDUCING ENGINE COUNT IN DP MODE Study a single vessel s consumption per engine count VESSEL MODE ENGINES ENGINE COUNT DURATION VOLUME (Day Hr:Min ) (gal) RATE (gph) MV-xxx11 DP

19 CASE STUDY PART B REDUCING ENGINE COUNT IN DP MODE Study a single vessel s consumption per engine count VESSEL MODE ENGINES ENGINE COUNT DURATION VOLUME (Day Hr:Min ) (gal) RATE (gph) MV-xxx11 DP E1E2E3E : MV-xxx11 DP E1E : Difference in burn rate 2 engines vs 4 engines Savings in burn rate 2 engines vs 4 engines 35% Total GALLONS reduced over 10 hours 311 Using 2 engines vs 4 engines during DP operations resulted in savings for a single vessel Implement the changes to increase savings across all vessels Details on cost savings would not otherwise be visible from FUELTRAX Fuel Savings: = 36 GPH 36 / 99 = 37% 2 Engine = 63 GPH 4 Engine = 99 GPH 20

20 CASE STUDY PART B REDUCING ENGINE COUNT IN DP MODE 8.0% 7.0% 6.0% Potential Savings Targets 7.2% Potential Annual Savings: 37% of 1,350,795 = 499,794 gallons Or 37% * 19.5% = 7.2% of total fuel spend 5.0% 4.0% 3.0% 2.0% 5.4% 4.8% 1.0% 1.6% 0.0% DP Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings 21

CASE STUDY PART C REDUCING ENGINE COUNT IN STANDBY MODE Study a single vessel s consumption per engine count in Stand By mode Using 1 engines vs 2 engines in Stand By Mode resulted in 36%

21 CASE STUDY PART C REDUCING ENGINE COUNT IN STANDBY MODE Study a single vessel s consumption per engine count in Stand By mode Using 1 engines vs 2 engines in Stand By Mode resulted in 36% savings Implement the changes to increase savings across all vessels Fuel Savings: = 23 GPH 23 / 63 = 36% 4 Engine = 99 GPH 2 Engine = 63 GPH 2 Engines = 63 GPH 1 Engine = 40 GPH 22

22 CASE STUDY PART C REDUCING ENGINE COUNT IN STANDBY MODE 3.5% 3.0% Potential Savings Targets 3.3% 2.5% 2.0% 1.5% 1.0% 2.5% 2.2% 1.7% 4 Engine = 99 GPH 0.5% 0.0% STANDBY Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings 2 Engine = 63 GPH 1 Engine = 40 GPH 2 Engines = 63 GPH Consumption by Engine: 1 engine in Stand By mode was only used about half of the time spent in Stand By mode, so there was large room for improvement here 23

CASE STUDY PART D CHANGING ENGINE TYPE IN DOCK MODE Study a single vessel s engine type and consumption rate while in DOCK mode Using a designated Harbor Generator vs an Auxiliary Generator or other

23 CASE STUDY PART D CHANGING ENGINE TYPE IN DOCK MODE Study a single vessel s engine type and consumption rate while in DOCK mode Using a designated Harbor Generator vs an Auxiliary Generator or other generator type while at Dock Harbor generators resulted in a significant reduction in consumption per engine type Implement the changes to increase savings across all vessels NO Harbor Generator Average Consumption at DOCK: 26 GPH Harbor Generator Average Consumption at DOCK: 10 GPH 24

24 CASE STUDY PART D CHANGING ENGINE TYPE IN DOCK MODE 6.0% Potential Savings Targets 5.0% 5.2% 4.0% 3.0% 3.9% 3.4% 2.0% 1.0% 0.0% DOCK 0.6% Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings Consumption by Engine Type: only 10% of the fleet has dedicated harbor generators 25

25 CASE STUDY OVERVIEW CHANGING ENGINE TYPE IN DOCK MODE Max. Obtainable Savings = Potential Savings from all 26 vessels using ALL four mode optimization recommendations (Case Study Parts A-D) Recommended to target top third potential savings across all modes YTD savings from 2015 to 2016 was already at 8% at the time the report was created (August 2016) 12.0% 10.0% 8.0% 6.0% 4.0% 2.0% 0.0% 10.0% 7.5% 6.6% 4.1% Potential Savings Targets 7.2% 5.4% 4.8% 5.2% 3.9% 3.3% 3.4% 1.6% 2.5% 2.2% 1.7% 0.6% UNDERWAY DP STANDBY DOCK Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings MODES Annual Fuel Spend per MODE Maximum Attainable Savings Goal Top Quartile 75% Goal Top Third 66% YTD 2016 Savings MODE OPTIMIZATION UNDERWAY 42.0% 10.0% 7.5% 6.6% 4.1% Increase Utilization to 80% DP 19.5% 7.2% 5.4% 4.8% 1.6% STANDBY 8.7% 3.3% 2.5% 2.2% 1.7% Reduce 4 Engines down to 2 Engines Reduce 2 Engines down to 1 Engine DOCK 8.3% 5.2% 3.9% 3.4% 0.6% Install/Require Harbor Gens OTHER 21.5% TOTAL ALL MODES 100.0% 25.7% 19.3% 17.0% 8.0% 26

26 SET THE STANDARD Fuel Management Fleet Optimization Vessel Performance Fuel Security Regulation Compliance 27

FUEL SECURITY Fuel theft affect all aspects of the industry: Upstream Exploration & Production Midstream Transportation & Processing Downstream Refining & Distribution Corruption & complicities in

27 FUEL SECURITY Fuel theft affect all aspects of the industry: Upstream Exploration & Production Midstream Transportation & Processing Downstream Refining & Distribution Corruption & complicities in both private and public organizations, governments, and other involved parties at all levels How does fuel theft occur? Illegal bunkering going undetected Tapping pipelines Piracy Fuel Adulteration Aerated fuel Heated fuel Fuel mixed with particulates Fuel mixed with Water 28

28 FUEL SECURITY How does FUELTRAX help detect & alert on theft? Coriolis meters measure mass, temperature, and density directly, meaning only actual fuel is measured Air, water, and particulates are differentiated in the measurements Fuel quality is consistently measured, and Density alarm onboard will sound if outside set parameters 29

29 YOUR MAN ON BOARD Engineer Single point of contact and clear accountability Install Avoid installation nightmares and minimize interruption to standard operations Manage Eliminate service breakdowns and delays in port 30

30 COLLABORATION FUELTRAX is a living product that continues to evolve through innovation. It meets industry and customer s needs, providing solutions that transform businesses through improving operations and driving strategic decisions. By working together we can continue to set a new standard in maritime solutions In collaboration with ExxonMobil globally, these new features will be available in 2018: Integrated data with FUELNET Weather AIS Video Specialized Custody Transfer units 31

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Dr. Christopher Ganz, ABB, Group Vice President Extending the Industrial Intranet to the Internet of Things, Services, and People (EU6)

Dr. Christopher Ganz, ABB, Group Vice President Extending the Industrial Intranet to the Internet of Things, Services, and People (EU6) Slide 1 ABB paves the way for the big shifts Internet of Things,