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Development of emission factors for ships’ emissions at berth


Jahangiri, S and Kam, US and Garaniya, V and Abbassi, R and Enshaei, H and Brown, RJ and Van, TC and Pourkhesalian, AM and Ristovski, Z, Development of emission factors for ships' emissions at berth, Australasian Coasts & Ports 2017: Working with Nature, 21-23 June 2017, Cairns, Queensland, pp. 646-652. ISBN 9781510852365 (2017) [Refereed Conference Paper]

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As shipping transportation is growing continuously, ship exhaust emissions are expected to rise, resulting in increased risks to both ecology and human health. In order to examine these risks and the potential benefits of control measures, ship exhaust emissions need to be quantified. However, precise measurement and collection of emission data is challenging due to numerous factors including diversity of engine types and configurations, various operation modes and the mobility of ships. Due to restrictions imposed for on-board measurements, emission inventories are commonly estimated shipping emissions. This method suffers from lack of updated and detailed emission factors (EFs). Results are therefore inconsistent for emission predictions, especially in near-shore areas. Thus, there is a clear need for investigation to improve the accuracy of these estimates. In this study, on-board measurement was carried out on Medium Speed Diesel (MSD) Auxiliary Engines (AEs) at berth. Both cargo vessels ran on heavy fuel oil (HFO). Measurements for gaseous emissions were carried quantifying CO, CO2, SOx and NOx. In this study, a new set of EF equations are developed to help improving the emission estimation models. To develop the equations, non-linear regression analysis was used. The predicted emissions were compared with current inventories and on-board measurements from two diesel engines. The results for emissions showed closer agreement with the on-board measurement and an improvement in prediction accuracy of emissions compared with existing inventories.

Item Details

Item Type:Refereed Conference Paper
Keywords:on-board measurement, emission inventory, ship transportation, emissions at berth, inventory, estimation
Research Division:Engineering
Research Group:Environmental engineering
Research Field:Air pollution modelling and control
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Mitigation of climate change
Objective Field:Management of greenhouse gas emissions from transport activities
UTAS Author:Jahangiri, S (Ms Sanaz Jahangiri)
UTAS Author:Kam, US (Mr U Shen Kam)
UTAS Author:Garaniya, V (Associate Professor Vikram Garaniya)
UTAS Author:Abbassi, R (Dr Rouzbeh Abbassi)
UTAS Author:Enshaei, H (Dr Hossein Enshaei)
ID Code:128567
Year Published:2017
Deposited By:Research Performance and Analysis
Deposited On:2018-09-30
Last Modified:2022-09-19

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