Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77441
Title: Fully empirical prediction of fuel consumption and greenhouse gas emission of ships sailing in seaways
Authors: Yong, Hui Liang
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2019
Abstract: 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.
URI: http://hdl.handle.net/10356/77441
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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