Air quality simulations and forecasting of along-route ship emissions in realistic meteo-marine scenarios

Andrea Orlandi, Francesca Guarnieri, Caterina Busillo, Francesca Calastrini, Andrea Coraddu

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

In the present study, scenario simulations are performed by integrating ship performance prediction models with meteo-marine forecasting and pollutants emissions transport models. By considering the detailed simulation of seakeeping and powering performance of a ship along predefined routes, in different realistic meteo-marine conditions, the concentration of the emitted pollutants and their fate in the atmosphere are analysed. The relationship between the increase of pollutants emissions due to adverse meteo-marine conditions and the corresponding pollutant diffusion characteristics of the ensuing atmospheric dynamics is investigated. In this paper the authors report the results of the first part of the study, finalized to better comprehend the numerical implementation details of an integrated system aimed at forecasting the powering performance and corresponding pollutant emissions impact based on realistic meteo-marine conditions and ship data.

Original languageEnglish
Title of host publicationTechnology and Science for the Ships of the Future - Proceedings of NAV 2018
Subtitle of host publication19th International Conference on Ship and Maritime Research
EditorsAlberto Marino, Vittorio Bucci
PublisherIOS Press
Pages452-461
Number of pages10
ISBN (Electronic)9781614998693
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event19th International Conference on Ship and Maritime Research, NAV 2018 - Trieste, Italy
Duration: 20 Jun 201822 Jun 2018

Conference

Conference19th International Conference on Ship and Maritime Research, NAV 2018
CountryItaly
CityTrieste
Period20/06/1822/06/18

Keywords

  • Air quality modelling
  • Ship emissions
  • Ship performance modelling

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