TY - GEN
T1 - Air quality simulations and forecasting of along-route ship emissions in realistic meteo-marine scenarios
AU - Orlandi, Andrea
AU - Guarnieri, Francesca
AU - Busillo, Caterina
AU - Calastrini, Francesca
AU - Coraddu, Andrea
PY - 2018/6/1
Y1 - 2018/6/1
N2 - 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.
AB - 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.
KW - air quality modelling
KW - ship emissions
KW - ship performance modelling
UR - http://www.scopus.com/inward/record.url?scp=85057807208&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-870-9-452
DO - 10.3233/978-1-61499-870-9-452
M3 - Conference contribution book
AN - SCOPUS:85057807208
SN - 978-1614998693
T3 - NAV International Conference on Ship and Shipping Research
SP - 452
EP - 461
BT - Technology and Science for the Ships of the Future
PB - IOS Press
CY - Netherlands
T2 - 19th International Conference on Ship and Maritime Research, NAV 2018
Y2 - 20 June 2018 through 22 June 2018
ER -