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

Journal article (2024)

Authors

Andrea Orlandi Consorzio LaMMA
Francesca Calastrini IMAMOTER - C.N.R. Sensors and Nanomaterials Laboratory
Miltiadis Kalikatzarakis University of Strathclyde
Francesca Guarnieri Consorzio LaMMA
Caterina Busillo Consorzio LaMMA
A. Coraddu Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Andrea Coraddu Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Research Group
Ship Design, Production and Operations (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2024 Andrea Orlandi, Francesca Calastrini, Miltiadis Kalikatzarakis, Francesca Guarnieri, Caterina Busillo, A. Coraddu
DOI: https://doi.org/10.1016/j.oceaneng.2023.116464
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Published Date

2024

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Design, Production and Operations

Abstract

This study introduces a novel framework of metocean prediction and ship performance models that integrate multiple layers of modeling to evaluate the environmental impact of ship emissions. It enables scenario simulations that assess a ship's performance, estimates pollutant emissions, and simulate the fate of these pollutants in the atmosphere. The study analyzes the fate of NOx, SO2, and PM10 pollutants in the atmosphere using spatially distributed concentration maps. It provides a comprehensive approach to assessing the environmental effects of ships and their emissions and contributes to the field of environmental impact assessment. Case studies are presented to demonstrate the framework's functionalities, evaluating the interrelationships between adverse meteo-marine conditions, pollutant emissions, and resulting atmospheric diffusion characteristics.