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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77441 |
| _version_ | 1811681466444152832 |
|---|---|
| author | Yong, Hui Liang |
| author2 | Liu Shukui |
| author_facet | Liu Shukui Yong, Hui Liang |
| author_sort | Yong, Hui Liang |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:41:24Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/77441 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:41:24Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/774412023-03-04T18:22:37Z Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways Yong, Hui Liang Liu Shukui School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering 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. Bachelor of Engineering (Mechanical Engineering) 2019-05-29T03:22:53Z 2019-05-29T03:22:53Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77441 en Nanyang Technological University 132 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Yong, Hui Liang Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title | Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title_full | Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title_fullStr | Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title_full_unstemmed | Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title_short | Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| title_sort | fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | http://hdl.handle.net/10356/77441 |
| work_keys_str_mv | AT yonghuiliang fullyempiricalpredictionoffuelconsumptionandgreenhousegasemissionofshipssailinginseaways |