Measures to reduce fuel consumption

Transcription

1 Bunker Summit 2009 Measures to reduce fuel consumption ( ideas (a holistic approach and specific by Ralf Plump, Head of Environmental Research Gibraltar, May 13-15,2009

2 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

3 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

4 Overview opportunities to reduce fuel consumption Holistic consideration Reduce resistance Improve fluid dynamics Improve propulsion Improve operation... Hull design Propulsion unit Speed New types of coatings Engine efficiency Crew performance Air cushion Wind power Load... Energy management...

5 Overview opportunities to reduce fuel consumption Holistic consideration Reduce resistance Improve fluid dynamics Improve propulsion Improve operation... Hull design Propulsion unit Speed New types of coatings Engine efficiency Crew performance Air cushion Wind power Load... Energy management...

6 Overview opportunities to reduce fuel consumption Holistic consideration Reduce resistance Improve fluid dynamics Improve propulsion Improve operation... Hull design Propulsion unit Speed New types of coatings Engine efficiency Crew performance Air cushion Wind power Load... Energy management...

7 Overview opportunities to reduce fuel consumption Holistic consideration Newbuilding passive measures Existing ship - active measures Hull design Air cushion Propulsion unit Engine efficiency New types of coatings Crew performance Energy management Speed Load

8 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

9 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

10 The GL approach to reduce fuel costs for new and existing vessels by FutureShip EEOI : CO 2 -Index Certificate ECO-Patterns: CO 2 -Index data analysis Report ECO-Practice: Operational fuel consumption analysis Workshop Offer / details on request hull machinery operations Energy efficiency reviews Engineering analyses Cost benefit analyses Recommendations and reports Checklists Simulations Payback Summaries

11 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

12 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

13 ECO-Patterns : CO 2 -Index Data Analysis Concept What drivers are responsible for the difference?? Weather? Time schedules? Operation? Maintenance? Vessel utilisation?

14 ECO-Patterns : CO 2 -Index Data Analysis Top level information on fuel consumption and transport work. Evaluation of a ship s fuel oil consumption patterns Focus on sister vessel comparison voyage analysis Example: CO 2 -Index vs. loaded cargo IMO No. 1 IMO No. 2

15 ECO-Patterns : CO 2 -Index Data Analysis Why difference? Less economic operation? Detrimental time schedules? Lower utilisation? Why outliers? Bad weather? Higher speed due to harbour slot? Long harbour or in the roads time? Example: CO 2 -Index vs. loaded cargo? IMO No. 1 IMO No. 2

16 ECO-Patterns : CO 2 -Index Data Analysis Example: Fuel consumption vs. sailed distance IMO No. 1 IMO No. 2

17 ECO-Patterns : CO 2 -Index Analysis Example: CO 2 Index vs. Distance IMO No. 1 IMO No. 2

18 ECO-Patterns : CO 2 -Index Analysis Results Patterns of high and low fuel consumption, respectively Top level data analysis will not present solutions but identify the crucial questions and optional saving potentials Decision basis for initiating an Operational Fuel Consumption Analysis

19 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

20 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

21 ECO-Practice : Operational Fuel Consumption Analysis The high-level analysis of actual fuel consumption. Workshop at client s office focussing on data review and structured brainstorming Results: Operational improvements Options for design improvements Input for future new buildings Ship data Optional data CO 2 -Index data Preparation of a 2-days-Workshop Workshop Evaluation of workshop results

22 ECO-Practice : Operational Fuel Consumption Analysis Workshop Systematic break down of the ship s energy consumers with any required accuracy for the workshop

23 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

24 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

25 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

26 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

27 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

28 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example ( S ) Magnitude Amount of over consumption Low Some Medium Significant High

29 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example Opera t ( O ) ional Measure Expense for prevention measures Low Some Medium Significant High

30 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example S a ( D ) ving Potential Expected saving < 5 % 6 15 % % % > 51%

31 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example

32 ECO-Practice : Operational Fuel Consumption Analysis Workshop Example Prioritisation of saving measures 12

33 ECO-Practice : Cost benefit analysis Identified improvement measures will be analysed to identify the highest economic potential. Economic estimates are based on publicly available and client data. The results are summarised in a management report. Investment in [US-$] Fuel Savings [tons/year] The numbers in the figure display improvement approaches

34 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

35 Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously High time resolution, under all operational modes and external influences Calculation of fuel oil consumption based on consumed power Use of object-oriented simulation technology

36 System Simulation Model Ambient condition Fuel flow Mechanical Power Exhaust and Heat flow Electrical Power Status of Propulsion

37 Calculated Fuel Oil Consumption of ME FOC / kg s -1

38 Calculated Fuel Oil Consumption of ME T ER p ER T ChA RPM ME P ME

39 Calculated Fuel Oil Consumption of ME FOC / kg s -1 RPM ME p ER P ME T ER T ChA be iso

40 Validation Method applied to measurements aboard a container feeder and a postpanamax container vessel Measurement campaigns container feeder: 11-months period postpanamax container vessel: since 8 months Measurements include simultaneous data of provided mechanical and electrical power of ME and AEs temperatures and pressures ( feeder consumed power of consumers (container navigational data Data collected in 10 Hz and averaged over sec

41 Validation Consumption data from daily noon reports and log books Consumption data summed up over longer time period integral values of the calculated 10 sec averages and the noon report data Calibrated and validated over periods of 4-8 weeks Deviation of calculated consumed fuel over these periods <2%

42 Comparison of Calculated to Reported Consumption 1% = 38 t 3% = 7 t Data of a journey about 4 weeks

43 Energy Efficiency Indicators Online analysis possible, identification of points of high consumption and their operational modes Enabling direct influence on operational measures Online optimization and prove of savings Automated noon report and consistency check of the data possible

44 Efficiency Evaluations of the Measured Data Measurement data can be analyzed offline Insight into actual operation of machinery Data base for optimization Examples Electrical power consumption efficiency of the auxiliaries Real propeller curve propulsive efficiency Periods of high power demand external effects and operational efficiency

45 Example for Optimization Potential AE Power % inst. Power Electrical Power vs. ME Power 30% 20% 10% 0% 10% 20% 30% 40% 50% 60% 70% 80% ME Power %MCR Consumption of the M E ( Vessel Auxiliaries relation to ME Power (Postpanamax Container

46 Example for Optimization Potential AE Power % inst. Power Electrical Power vs. ME Power 30% Aux. Blower? 20% Mean 10% ER Vents ME CW ME LO/FO 0% 10% 20% 30% 40% 50% 60% 70% 80% ME Power %MCR Consumption of the M E ( Vessel Auxiliaries relation to ME Power (Postpanamax Container

47 Propulsive Efficiency Evaluation Actual Connection between Engine and Propeller ME power vs. rpm, engine propeller interaction ME Power Engine l o ( bed ad curve (test Load curve including 15% sea margin ME RPM

48 Data Evaluation Example - Gibraltar ( -1 (min rpm Strong current into the Mediterranean Vessel acceleration/ deceleration without changes in engine power and rpm ~3 kn ( kn ) speed o.g. ( -1 (min rpm ( kn ) speed o.g. ~2.5 kn

49 Adjust sea margin intelligently Sea margin determined one size fits all Too high for big containerships Should be based on simulation May be too high or too low Up to 10% savings claimed

50 Content Overview opportunities to reduce fuel consumption GL Fuel Saver Product Range The GL approach to reduce fuel costs CO 2 -Index Analysis ECO-Patterns : CO2-Index Data Analysis ECO-Practice :Operational Fuel Consumption Analysis Fuel and energy consumption evaluation tool For monitoring energy efficiency continuously Indentification of fuel saving options by simulation The complete approach: The FutureShip Portfolio The FuelSaver Family of ECO-Products Areas for Optimisation

51 FutureShip Portfolio The FuelSaver Family of ECO-Products ( Optimization (Energy Consumption 1 ECO-Patterns Analysis of Voyage data with report 2 ECO-Practices Workshop Analysis of Operations Systems ECO-Chances E ( Assessment nergy Efficiency Review (Gross ECO-Solutions ( Simulations Energy Efficiency Review (Detailed ECO-Design Fully optimized Conceptual Efficiency Design No. 45

52 Areas for Optimisation green digits new building red digits ship in service Fluid Dynamics Main dimensions Lines Bulbous Bow Coating Windage Alignment of appendages Rudder Sea margin Propeller tip CRP PBCF PID Propulsion 2.1 Periphery systems 2.2 Other e-driven systems 2.3 Additional energy sources 2.4 Main engine Operations 3.1 Trim 3.2 Level speed during voyage 3.3 Routing 3.4 Awareness Hull maintenance Engine maintenance Efficiency gain high mid low low mid high ( phase Added investment (planning

53 Areas for Optimisation green digits new building red digits ship in service Fluid Dynamics Main dimensions Lines Bulbous Bow Coating Windage Alignment of appendages Rudder Sea margin Propeller tip CRP PBCF PID Propulsion 2.1 Periphery systems 2.2 Other e-driven systems 2.3 Additional energy sources 2.4 Main engine Operations 3.1 Trim 3.2 Level speed during voyage 3.3 Routing 3.4 Awareness Hull maintenance Engine maintenance Efficiency gain high mid low low mid high ( phase Added investment (planning

54 Areas for Optimisation green digits new building red digits ship in service Fluid Dynamics Main dimensions Lines Bulbous Bow Coating Windage Alignment of appendages Rudder Sea margin Propeller tip CRP PBCF PID Propulsion 2.1 Periphery systems 2.2 Other e-driven systems 2.3 Additional energy sources 2.4 Main engine Operations 3.1 Trim 3.2 Level speed during voyage 3.3 Routing 3.4 Awareness Hull maintenance Engine maintenance Efficiency gain high mid low low mid high ( phase Added investment (planning

55 Areas for Optimisation green digits new building red digits ship in service Fluid Dynamics Main dimensions Lines Bulbous Bow Coating Windage Alignment of appendages Rudder Sea margin Propeller tip CRP PBCF PID Propulsion 2.1 Periphery systems 2.2 Other e-driven systems 2.3 Additional energy sources 2.4 Main engine Operations 3.1 Trim 3.2 Level speed during voyage 3.3 Routing 3.4 Awareness Hull maintenance Engine maintenance Efficiency gain high mid low low mid high ( phase Added investment (planning

56 Areas for Optimisation green digits new building red digits ship in service Fluid Dynamics Main dimensions Lines Bulbous Bow Coating Windage Alignment of appendages Rudder Sea margin Propeller tip CRP PBCF PID Propulsion 2.1 Periphery systems 2.2 Other e-driven systems 2.3 Additional energy sources 2.4 Main engine Operations 3.1 Trim 3.2 Level speed during voyage 3.3 Routing 3.4 Awareness Hull maintenance Engine maintenance Efficiency gain high mid low low mid high ( phase Added investment (planning

57 Thank you for your attention!

58 Thank you for your attention! and...