Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways

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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Main Author: Yong, Hui Liang
Other Authors: Liu Shukui
Format: Final Year Project
Language:English
Published: 2019
Subjects:
DRNTU::Engineering::Mechanical engineering
Online Access:http://hdl.handle.net/10356/77441
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Yong, Hui Liang
Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways
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.
author2 Liu Shukui
author_facet Liu Shukui
Yong, Hui Liang
format Final Year Project
author Yong, Hui Liang
author_sort Yong, Hui Liang
title 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_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_sort fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways
publishDate 2019
url http://hdl.handle.net/10356/77441
_version_ 1759854144412188672

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