accessibility__skip_menu__jump_to_main

Full text: Method to identify fuel sulphur content (FSC) violations of ongoing vessels using CFD modelling

617 asthe 87% FCC in fuel and the hypothesis that combustion produces CO2 and SO», without by- 
618 products, respectively, would also affect the final estimation. 
619 
5 Conclusions 
620 This work demonstrates a detailed method to estimate the concentration of gaseous 
621 pollutants originating from singular vessels to a monitoring station, using high-resolution CFD 
522 modelling. Input values for the CFD modelling setup were provided by a monitoring station in 
523 Wedel, Germany and the ship’s AIS data. CFD produces results for CO2 and SO2 concentrations 
524 inthe plume that are in the same order of magnitude as the measured data given by the monitoring 
625 station, confirming that such a method can provide reliable estimates of pollutant concentrations 
626 inthe plume in a range of 150-450 m downwind of the ship. The elimination of assumptions and 
627 calculation methods related to the input conditions at the exit of the funnel and uncertainties 
528 concerning ambient conditions would result in further improving the results. The approach applies 
629 to the identification of FSC violations that are measured in monitoring stations. 
630 CFD modelling can provide indications of measured data being affected by multiple 
631 pollutant sources or when peculiar recordings are otherwise obtained. Moreover, such a method 
632 can be applied to optimally determine the position of remote emission measurement stations. 
633 _Finally, CFD can help estimating in-plume pollutant concentrations close to the air-water interface 
534 which is necessary to calculate pollutant mass fluxes from the air to the water and vice versa. 
Acknowledgements 
636 
537 
538 
539 
640 
541 
This work has been funded by the Hellenic Foundation for Research and Innovation (HFRI) 
under the 3rd Call for H.F.R.I. Scholarships for PhD Candidates (Project ID: 6693). The EU 
HORIZON 2020 Projects, SCIPPER (Grant agreement ID: 814893) and EMERGE (Grant 
agreement ID: 874990) supported the study with data. OPENFOAM® is a registered trademark of 
OpenCFD Limited, producer and distributor of the ©OpenFOAM software 
via www.openfoam.com. 
5642 
343 
7Q
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.