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IAMU - Research Project FY2014 - Improving Energy Efficiency of Ships through Optimisation of Ship Operations

IAMU - Research Project FY2014 - Improving Energy Efficiency of Ships through Optimisation of Ship Operations

 

 

Contents

1. Introduction ······························································································· 3

1.1 Recall of the Project’s Overall Subject ····················································· 3

1.2 Project Aims and Objectives and Methodological Approach ························ 3

1.3 Research Activities and Distribution of Results ········································ 5

1.4 Research Results and Structure of the Report ·········································· 6

2. International Regulations for Energy Efficiency ················································· 7

2.1 United Nations Framework Convention on Climate Change ······················ 7

2.2 Kyoto Protocol ····················································································· 7

2.3 The Intergovernmental panel on Climate Change ···································· 8

2.4 The Copenhagen Accord ········································································ 8

2.5 The IMO’s Environmental Regulation ····················································· 8

2.5.1 The Energy Efficiency Design Index, EEDI ······································· 9

2.5.2 The Ship Energy Efficiency Management Plan, SEEMP ······················ 10

2.5.3 Energy Efficiency Operation Indicator, EEOI····································· 11

3. Operational Ship Energy Efficiency Measures··················································· 12

3.1 Voyage Performance Management·························································· 12

3.1.1 Speed Optimization········································································ 12

3.1.2 Trim Optimization ········································································· 15

3.1.3 Weather Routing ··········································································· 17

3.1.4 Optimum Use of Autopilot······························································· 19

3.2 Hull and Propeller Management ···························································· 19

3.2.1 Roughness and Its Effect on Ship Resistance ····································· 19

3.2.2 Hull Management ·········································································· 21

3.2.3 Propeller Roughness Management ··················································· 21

3.3 Engine Management ············································································ 22

3.5 Ship Systems Management(Other Consumers) ···································· 29

3.6 Energy Awareness ··············································································· 29

4. Methodology ······························································································ 31

4.1 Artificial Neural Networks ···································································· 31

4.1.1 Biological Neural Networks····························································· 31

4.1.2 Neuron Model ··············································································· 32

4.1.3 Neuron Model ··············································································· 33

4.1.3.1 Single-layer feed forward networks ············································ 33

4.1.3.2 Multilayer feed-forward neural networks ···································· 33

4.1.3.3 Radial basis function neural networks ········································ 34

4.1.4 Neuron Model ··············································································· 35

4.2 Multiple Regression Analysis(MR) ····················································· 35

5. Modelling of Ship Fuel Consumption ······························································· 37

5.1 Data Gathering ··················································································· 37

5.2 Statistical Analysis Results ··································································· 38

5.3 Design of ANN Model ··········································································· 42

5.4 Performance of ANN Model ··································································· 43

5.5 Validation and Benchmarking ······························································· 44

6. Design of the Decision Support System(DSS) for improving ship energy efficiency ···· 46

7. Conclusion 

 


File đính kèm: 
http://kt.vimaru.edu.vn/sites/kt.vimaru.edu.vn/files/20140301-itumf_0.pdf