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Assessment of Ship Emissions in Coastal Waters using Spatial Projections of Ship Moves (Ship Density) and Port Congestion Data

Lookup NU author(s): Tamara Topic, Dr Alan J Murphy, Dr Kayvan Pazouki, Dr Rosemary Norman

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by SDEWES, 2020.

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Abstract

Emissions from ships are having a growing impact on acidification of the oceans andeutrophication of enclosed seas. Ships are increasing in number and size and coastal regionsthat provide supporting services to shipping suffer from the impact of air and water pollution.Air emissions have been proven to have a direct impact on human health, climate change,acidification of the water and disruption of ecosystems and habitats.The International Maritime Organization (IMO) is adopting new measures for the reduction ofemissions from ships. From January 1st 2020, the global limit for sulphur in marine fuel wasreduced to 0.5% by mass, while heavy fuel oil can still be used by vessels retrofitted withabatement technology that complies with the new regulations. Emission Control Areas (ECA)and all EU ports already have reduced sulphur limits to 0.1% by mass.The IMO is limiting nitrogen oxides (NOx) as all ship engines built after 2016 should complyto Tier III regulations, however, those ships older than 2016, still operate outside the ECAs. Anovel methodology has been developed to calculate emissions from ships and applied tounderstand the different contributions of Tier 0, I, II and III category ships, to total emissionsduring their time in port.This paper presents the novel methodology behind the computational model called: ShipEmissions Assessment (SEA) model. The methodology behind the SEA model analyses shiptracks (density maps) of different ship types, to extract data for activity-based ship emissioncalculations. The SEA model calculates emissions using ship activity phase data to give anunderstanding of locality where emissions are happening.Ships are clustered in groups by ship type, which share the same ship track patterns. Thosepatterns (ship density maps) can improve the understanding of which spatial areas are at highestrisk and need to be assessed for the impact of air borne emissions.The novel methodology presented, enables the use of ship track patterns available from AISdata maps to estimate airborne emissions from ships in coastal areas for assessment. A casestudy has been conducted using the computational SEA model, to calculate emissions fromcontainerships calling to the Port of Trieste.


Publication metadata

Author(s): Topić T, Murphy AJ, Pazouki K, Norman R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2nd Sustainable Development of Energy, Water and Environment Systems

Year of Conference: 2020

Online publication date: 12/02/2020

Acceptance date: 21/01/2020

Date deposited: 13/02/2020

Publisher: SDEWES

URL: https://www.buenosaires2020.sdewes.org/


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