Modeling exhaust gas emissions in maritime transport

Abstract: To determine the share of vessels in total environmental pollution and to counteract the harmful effects of toxic compounds in marine engine exhaust gases, it is necessary to know the emission values of these compounds from individual units. This is possible after determining the vessel’s movement parameters, the concentration values of individual compounds for these parameters, and hydrometeorological conditions. The paper presents the conditions for modeling exhaust gas emissions from the main engines of vessels and the possibility of using the Monte Carlo method for their construction.1. INTRODUCTION
The problem of air pollution in ports and port approach areas is significant because ports are usually located near or within large cities, and their limited area causes a high concentration of vessels in a small space. Broadly understood operational conditions are also of great importance. The latter include the way engines are used, the frequency and nature of transient states, and transitional processes characterized by significantly higher emissions of toxic compounds than during navigation in open waters with constant engine load. External conditions, i.e., the impact of the marine environment on engine operation, also influence the way of usage.
Current research on atmospheric pollution caused by harmful compound emissions from traction engines [1-3], as shown in paper [4], cannot be applied to assess emissions in coastal areas due to the specificity of operation and broadly understood hydrometeorological conditions.
Modeling the emissions of individual exhaust components from marine engine exhaust systems while moving through a specific area is one of the key
problems in balancing and preparing input data for dispersion models.
Emission models for toxic compounds in exhaust gases from land transport vehicles created in Europe, such as HBEFA, COPERT, DVG, or DRIVE-MODEM [5,6], attempt to include as many parameters affecting emissions as possible; however, with such a large number of factors and a complex description of the phenomena determining the emission process, simplifying assumptions cannot be avoided. (…)

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