Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide

J. P. Jalkanen*, L. Johansson, J. Kukkonen, A. Brink, J. Kalli, T. Stipa

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

250 Citations (Scopus)

Abstract

A method is presented for the evaluation of the exhaust emissions of marine traffic, based on the messages provided by the Automatic Identification System (AIS), which enable the positioning of ship emissions with a high spatial resolution (typically a few tens of metres). The model also takes into account the detailed technical data of each individual vessel. The previously developed model was applicable for evaluating the emissions of NO x, SO x and CO 2. This paper addresses a substantial extension of the modelling system, to allow also for the mass-based emissions of particulate matter (PM) and carbon monoxide (CO). The presented Ship Traffic Emissions Assessment Model (STEAM2) allows for the influences of accurate travel routes and ship speed, engine load, fuel sulphur content, multiengine setups, abatement methods and waves. We address in particular the modeling of the influence on the emissions of both engine load and the sulphur content of the fuel. The presented methodology can be used to evaluate the total PM emissions, and those of organic carbon, elemental carbon, ash and hydrated sulphate. We have evaluated the performance of the extended model against available experimental data on engine power, fuel consumption and the composition-resolved emissions of PM. We have also compared the annually averaged emission values with those of the corresponding EMEP inventory, As example results, the geographical distributions of the emissions of PM and CO are presented for the marine regions of the Baltic Sea surrounding the Danish Straits.

Original languageEnglish
Pages (from-to)2641-2659
Number of pages19
JournalAtmospheric Chemistry and Physics
Volume12
Issue number5
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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