Affiliation:
1. National Technical University of Athens, Greece
Abstract
Pollutant emissions constitute a critical aspect of vessel operation, impacting both environmental compliance and sustainability goals. However, direct measurement of pollutants is often a complex endeavor. The contemporary maritime landscape further complicates matters with the introduction of diverse fuel variants, rendering emissions prediction an intricate challenge. In this chapter, the author employs a sophisticated multizone combustion model as a powerful tool to estimate engine performance and NOx emissions. This model serves a dual purpose: it enables real-time assessment of emissions based on basic engine operational parameters and functions as a decision support system for forecasting emissions across various fuel types and engine operational schemes. By integrating this implementation into the digital twin framework, the author augments it with invaluable insights. These insights, in turn, facilitate the reduction of carbon emissions while ensuring compliance with stringent NOx regulations.