Voyage Optimisation towards Energy Efficient Ship Operations T. - - PowerPoint PPT Presentation

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Voyage Optimisation towards Energy Efficient Ship Operations T. - - PowerPoint PPT Presentation

May 30, 2023 450 likes •622 views

Voyage Optimisation towards Energy Efficient Ship Operations T. Cui, B. Howett, R. Lu, M. Y. Kim, Y. K. Demirel, O. Turan, S. Day and A. Incecik Department of Naval Architecture, Ocean and Marine Engineering University of Strathclyde

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Voyage Optimisation towards Energy Efficient Ship Operations

  • T. Cui, B. Howett, R. Lu, M. Y. Kim, Y. K. Demirel,
  • O. Turan, S. Day and A. Incecik

Department of Naval Architecture, Ocean and Marine Engineering University of Strathclyde tong.cui@strath.ac.uk

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  • 1. Introduction
  • Almost 90% goods traded

worldwide are transported by sea

  • Ship performance prediction
  • Grids system design
  • Weather routing
  • Voyage optimisation
  • Post processing

ETA and Fuel consumption

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  • 2. Voyage Optimisation Model

2.1. Ship performance predic2on

  • Speed
  • Significant wave height
  • Relative wave angle
  • True wind speed
  • Relative wind angle

Brake power 5-D Interpolation B

FC P sfoc t = ⋅ ⋅

Ship Performance Profile File (netCDF from WSM, WASPP…)

“This file is to package performance related aFributes of an individual ship for a whole range of environmental and opera2onal condi2ons in a single file, allowing data to be pre-calculated for later use in 2me intensive applica2ons”( HoweF, B., 2015).

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2.2. Grids system design module

Grids system Ship rou0ng network

2.2.1 Main design principles

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2.2.2 Land avoidance func2on GSHHS (A Global Self-consistent, Hierarchical, High-resolu2on Shorelines Geography Database) coastline data

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2.3. Weather rou2ng module

2.3.1 Weather data GRIB: waves and winds downloaded from ECMWF (European Centre for Medium-Range Weather )

  • 10 meter U wind component
  • 10 meter V wind component
  • Mean wave direction
  • Mean wave period
  • significant height of combined wind waves and swell

36 years (1979-2014) global historic weather data is downloaded for the shipping simulation.

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2.3.2 Weather rou2ng module

Global Op0misa0on Local Op0misa0on

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2.4 Post processing module

FC total ETA total FC last stage Dura2on last stage Speed last stage La2tude last stage Longitude last stage 1 FC_T_1 ETA_T_1 FC_L_1 T_L_1 V_L_1 Lat_L_1 Lon_L_1 2 FC_T_2 ETA_T_2 FC_L_2 T_L_2 V_L_2 Lat_L_2 Lon_L_2 3 FC_T_3 ETA_T_3 FC_L_3 T_L_3 V_L_3 Lat_L_3 Lon_L_3 4 FC_T_4 ETA_T_4 FC_L_4 T_L_4 V_L_4 Lat_L_4 Lon_L_4 5 FC_T_5 ETA_T_5 FC_L_5 T_L_5 V_L_5 Lat_L_5 Lon_L_5 …

  • • •

Stage 1 Stage K

FC total ETA total FC last stage Dura2on last stage Speed last stage La2tude last stage Longitude last stage 1 FC_T_1 ETA_T_1 FC_L_1 T_L_1 V_L_1 Lat_L_1 Lon_L_1 2 FC_T_2 ETA_T_2 FC_L_2 T_L_2 V_L_2 Lat_L_2 Lon_L_2 3 FC_T_3 ETA_T_3 FC_L_3 T_L_3 V_L_3 Lat_L_3 Lon_L_3 4 FC_T_4 ETA_T_4 FC_L_4 T_L_4 V_L_4 Lat_L_4 Lon_L_4 5 FC_T_5 ETA_T_5 FC_L_5 T_L_5 V_L_5 Lat_L_5 Lon_L_5 …

Backward Itera0on Algorithm

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  • 3. Case Study and Discussion

Ship model: Bulk Carrier. Departure and destination points: 5°10‘W, 49°18’N and 70°31‘W, 40°48'N. Departure time: 2014-01-05, 06:00. Ship speed: 4 knots to 20 knots with interval 0.1 knot. ETA: 227 hours (average 12 knots). Interest ETA range: 6 hours (within plus or minus 3 hours). Grids system has 14 stages, and every stage has maximum 15 waypoints with equal distance of 50 nautical miles.

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Three days’ significant wave height changing from departure 2me

a) 06:00 05/01/2014 b) 06:00 06/01/2014 c) 06:00 07/01/2014

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134 136 138 140 142 144 146 224 225 226 227 228 229 230

Fuel consump0on (tonne) ETA (hour)

Pareto front of case study

Results 145.34 tonnes 4.5% more 134.78 tonnes 139.01 tonnes 3.1% less

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11.4 11.6 11.8 12 12.2 12.4 12.6 12.8 13 13.2 13.4 13.6 13.8 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Speed (knots) Stage 224 Hours Route 227 Hours Route 230 Hours Route 14 14.5 15 15.5 16 16.5 17 17.5 18 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Dura0on (hours) Stage 224 Hours Route 227 Hours Route 230 Hours Route 8.5 9 9.5 10 10.5 11 11.5 12 12.5 13 13.5 14 14.5 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Fuel consump0on (tonne) Stage 224 Hours Route 227 Hours Route 230 Hours Route

a) Ship speed at each stage c) Fuel consump0on at each stage b) Dura0on at each stage

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2 4 6 8 10 12 11.4 11.6 11.8 12 12.2 12.4 12.6 12.8 13 13.2 13.4 13.6 13.8 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Wave Height (m) Speed (knots) Stage

224 Hours Route 227 Hours Route 230 Hours Route wave height of 224 Hours Route

Speed changing with wave height

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Op0mal routes based on different requirements

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  • 4. Conclusion

This paper presents a voyage op2misa2on model towards Energy Efficient Ship Opera2ons：

  • The core modules and op2misa2on strategy used in this model are

introduced in great detail.

  • A case study with Bulk Carrier has been made.
  • As can be seen from results, with the strategy of a combina2on of global

and local op2misa2on, this model can provide related stakeholders

  • p2mum routes towards minimum fuel consump2on according to the ship

naviga2on schedule.

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