Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways
Fuel consumption and greenhouse gas emission (GHG) are key areas of concern for the maritime industry. Rising fuel costs and rising trends of emissions calls for a relook on the current state of voyage optimisation. This project looks to explore a new voyage optimisation technique with a proposed pr...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/10356/77441 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Fuel consumption and greenhouse gas emission (GHG) are key areas of concern for the maritime industry. Rising fuel costs and rising trends of emissions calls for a relook on the current state of voyage optimisation. This project looks to explore a new voyage optimisation technique with a proposed prediction model formulated with Microsoft Excel, consisting of resistance prediction model and propulsion prediction model. A prediction on a Handymax oil tanker’s calm water resistance is studied in this paper and compared with experimental results. |
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