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.

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.