Optimizing fleet deployment & speed for shipping operators under emission control measures

In the last 10 years, concerns about air pollutant emissions from shipping activities have grown in international policy debate. Thanks to the enactment of MARPOL Annex VI, the IMO saw reductions in the content of sulfur in marine fuels. To mitigate the air pollution from sea shipping, Emission Cont...

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Main Author: Nagisvaran, Haryshan
Other Authors: Wang Zhiwei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149299
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1492992021-05-25T02:49:55Z Optimizing fleet deployment & speed for shipping operators under emission control measures Nagisvaran, Haryshan Wang Zhiwei School of Civil and Environmental Engineering WangZhiwei@ntu.edu.sg Science Engineering::Maritime studies In the last 10 years, concerns about air pollutant emissions from shipping activities have grown in international policy debate. Thanks to the enactment of MARPOL Annex VI, the IMO saw reductions in the content of sulfur in marine fuels. To mitigate the air pollution from sea shipping, Emission Control Areas (ECAs) was established by the International Maritime Organization (IMO). Shipping lines operating within these regions have expressed their cost concerns as tighter regulations will lead to them switching to cleaner and costly marine fuels. Ship operators hence had to resort to costly low sulfur fuel so as to adhere to the regulations. To adhere to these stringent regulations, one alternative for shipping lines is to 1) switch to costlier MGO during their voyage within these regions and 2) deliberate travel at reduced speeds inside and greater speeds outside the ECAs so as to to consume lesser costlier fuel. Shipping lines are wary of their operating costs during each sailing leg and with ECA, their routing and fleet deployment decisions are likely to be impacted.In this report, I come about an mathematical model that can be utilized by shipping lines to determine optimal routing and fleet deployment such that their bunker costs can be minimized along a given route. Moreover, I will examine a realistic examination on 1 real-life shipping liner service to examine possible impacts on fleet deployment and routing and therefore total weekly costs. Bachelor of Science (Maritime Studies) 2021-05-25T02:49:55Z 2021-05-25T02:49:55Z 2021 Final Year Project (FYP) Nagisvaran, H. (2021). Optimizing fleet deployment & speed for shipping operators under emission control measures. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149299 https://hdl.handle.net/10356/149299 en MS22 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science
Engineering::Maritime studies
spellingShingle Science
Engineering::Maritime studies
Nagisvaran, Haryshan
Optimizing fleet deployment & speed for shipping operators under emission control measures
description In the last 10 years, concerns about air pollutant emissions from shipping activities have grown in international policy debate. Thanks to the enactment of MARPOL Annex VI, the IMO saw reductions in the content of sulfur in marine fuels. To mitigate the air pollution from sea shipping, Emission Control Areas (ECAs) was established by the International Maritime Organization (IMO). Shipping lines operating within these regions have expressed their cost concerns as tighter regulations will lead to them switching to cleaner and costly marine fuels. Ship operators hence had to resort to costly low sulfur fuel so as to adhere to the regulations. To adhere to these stringent regulations, one alternative for shipping lines is to 1) switch to costlier MGO during their voyage within these regions and 2) deliberate travel at reduced speeds inside and greater speeds outside the ECAs so as to to consume lesser costlier fuel. Shipping lines are wary of their operating costs during each sailing leg and with ECA, their routing and fleet deployment decisions are likely to be impacted.In this report, I come about an mathematical model that can be utilized by shipping lines to determine optimal routing and fleet deployment such that their bunker costs can be minimized along a given route. Moreover, I will examine a realistic examination on 1 real-life shipping liner service to examine possible impacts on fleet deployment and routing and therefore total weekly costs.
author2 Wang Zhiwei
author_facet Wang Zhiwei
Nagisvaran, Haryshan
format Final Year Project
author Nagisvaran, Haryshan
author_sort Nagisvaran, Haryshan
title Optimizing fleet deployment & speed for shipping operators under emission control measures
title_short Optimizing fleet deployment & speed for shipping operators under emission control measures
title_full Optimizing fleet deployment & speed for shipping operators under emission control measures
title_fullStr Optimizing fleet deployment & speed for shipping operators under emission control measures
title_full_unstemmed Optimizing fleet deployment & speed for shipping operators under emission control measures
title_sort optimizing fleet deployment & speed for shipping operators under emission control measures
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149299
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