The University of Southampton
University of Southampton Institutional Repository

Assessment of ship emissions in coastal waters using spatial projections of ship tracks, ship voyage and engine specification data

Assessment of ship emissions in coastal waters using spatial projections of ship tracks, ship voyage and engine specification data
Assessment of ship emissions in coastal waters using spatial projections of ship tracks, ship voyage and engine specification data

To understand, mitigate and reduce the detrimental effects on human health and the environment from exhaust gas emissions from ships it is necessary to be able to estimate the quantity and location of these ship emissions in time. Currently, the two most commonly used ship emission assessment methods sit on opposite ends of the spectrum – the top-down approach, which provides low resolution yet efficient aggregated results however is unable to account for specific shipping activities, and the bottom-up vessel-by-vessel approach, which provides near-instantaneous ship emissions production at a high resolution – yet is data and time intensive. To address the market gap for a ship greenhouse emission estimation method that hybridises the best of both the bottom-up and top-down methods the novel Ship Emissions Assessment (SEA) method is proposed as an innovative hybrid solution. It is a cost effective and resource efficient method, presenting spatial ship emissions utilising widely accessible data, and it is precise – fulfilling the requirements needed to evaluate ship emissions reduction measures. Novel SEA method is the first in its endeavour to replace Automatic Identification System (AIS) Vessel-based raw data allocation, by using rapid analyses of readily available ship track density data and average voyage information. It combines obtained average voyage distance with voyage average speed to estimate ship activity for emission assessments - saving costs by reducing time and reliance on complex computations, especially when many ships need to be analysed simultaneously. Using the novel SEA method, a series of containerships from geographically diverse ports were sampled and assessed for emissions with comparative results confirming the representations equivalent to the detailed and data demanding bottom-up method. Subsequently, the novel SEA method was applied to containership traffic calling into the Port of Trieste, in the northern Adriatic Sea, where it demonstrated the ability to estimate and quantify historic emissions for the preceding 12 months while taking into account seasonal port traffic variations. The novel SEA method showed to be an efficient, inexpensive and accurate, easy-to-use emission assessment tool based on widely accessible data. It can be used in day-to-day shipping operations by a variety of stakeholders including port operations managers, regional traffic operators, and those non-industry, while providing the required level of technical accuracy. In comparison, existing methods are not as time and cost effective, user-friendly, nor based on easy to interpret and readily accessible data. The novel SEA method enables further global research of ship emissions, and for regional and international policy makers to effectively manage the measures needed to reach greenhouse gas emission reduction targets.

Containership emissions, Emissions in port of trieste, Ship emissions estimate, Ship emissions spatially, Ship energy demand, Voyage average speed
Topic, Tamara
0c8d52fb-7754-4733-af11-10b82d1c1087
Murphy, Alan J.
8e021dad-0c60-446b-a14e-cddd09d44626
Pazouki, Kayvan
1e69a646-83da-49ce-af3a-c40808c83ffe
Norman, Rose
6d2518aa-ece8-498f-82dc-dee5ec7b1b37
Topic, Tamara
0c8d52fb-7754-4733-af11-10b82d1c1087
Murphy, Alan J.
8e021dad-0c60-446b-a14e-cddd09d44626
Pazouki, Kayvan
1e69a646-83da-49ce-af3a-c40808c83ffe
Norman, Rose
6d2518aa-ece8-498f-82dc-dee5ec7b1b37

Topic, Tamara, Murphy, Alan J., Pazouki, Kayvan and Norman, Rose (2021) Assessment of ship emissions in coastal waters using spatial projections of ship tracks, ship voyage and engine specification data. Cleaner Engineering and Technology, 2, [100089]. (doi:10.1016/j.clet.2021.100089).

Record type: Article

Abstract

To understand, mitigate and reduce the detrimental effects on human health and the environment from exhaust gas emissions from ships it is necessary to be able to estimate the quantity and location of these ship emissions in time. Currently, the two most commonly used ship emission assessment methods sit on opposite ends of the spectrum – the top-down approach, which provides low resolution yet efficient aggregated results however is unable to account for specific shipping activities, and the bottom-up vessel-by-vessel approach, which provides near-instantaneous ship emissions production at a high resolution – yet is data and time intensive. To address the market gap for a ship greenhouse emission estimation method that hybridises the best of both the bottom-up and top-down methods the novel Ship Emissions Assessment (SEA) method is proposed as an innovative hybrid solution. It is a cost effective and resource efficient method, presenting spatial ship emissions utilising widely accessible data, and it is precise – fulfilling the requirements needed to evaluate ship emissions reduction measures. Novel SEA method is the first in its endeavour to replace Automatic Identification System (AIS) Vessel-based raw data allocation, by using rapid analyses of readily available ship track density data and average voyage information. It combines obtained average voyage distance with voyage average speed to estimate ship activity for emission assessments - saving costs by reducing time and reliance on complex computations, especially when many ships need to be analysed simultaneously. Using the novel SEA method, a series of containerships from geographically diverse ports were sampled and assessed for emissions with comparative results confirming the representations equivalent to the detailed and data demanding bottom-up method. Subsequently, the novel SEA method was applied to containership traffic calling into the Port of Trieste, in the northern Adriatic Sea, where it demonstrated the ability to estimate and quantify historic emissions for the preceding 12 months while taking into account seasonal port traffic variations. The novel SEA method showed to be an efficient, inexpensive and accurate, easy-to-use emission assessment tool based on widely accessible data. It can be used in day-to-day shipping operations by a variety of stakeholders including port operations managers, regional traffic operators, and those non-industry, while providing the required level of technical accuracy. In comparison, existing methods are not as time and cost effective, user-friendly, nor based on easy to interpret and readily accessible data. The novel SEA method enables further global research of ship emissions, and for regional and international policy makers to effectively manage the measures needed to reach greenhouse gas emission reduction targets.

Text
1-s2.0-S2666790821000495-main - Version of Record
Download (3MB)

More information

Accepted/In Press date: 24 March 2021
e-pub ahead of print date: 29 March 2021
Published date: 8 April 2021
Additional Information: Funding Information: The authors are grateful to the University of Newcastle for providing the technical and financial support to complete the present work.
Keywords: Containership emissions, Emissions in port of trieste, Ship emissions estimate, Ship emissions spatially, Ship energy demand, Voyage average speed

Identifiers

Local EPrints ID: 483678
URI: http://eprints.soton.ac.uk/id/eprint/483678
PURE UUID: d91c2386-a27c-438f-9144-22e32162e57f

Catalogue record

Date deposited: 03 Nov 2023 17:50
Last modified: 17 Mar 2024 13:35

Export record

Altmetrics

Contributors

Author: Tamara Topic
Author: Alan J. Murphy
Author: Kayvan Pazouki
Author: Rose Norman

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×