Fast Physical Prediction of NO and Soot in Diesel Engines KTH CICERO Royal Institute of Technology

Format:

Conference/Event

Author/Creator:

Westlund, Anders, author.

Conference Name:

SAE World Congress & Exhibition (2009-04-20 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

A clear trend in engine development is that the engines are becoming more and more complex both regarding components and component-systems as well as controlling them. These complex engines have great potential to minimize emissions but they also have a great number of combinations of setting. Systematic testing to find these optimum settings is getting more and more challenging. A possible remedy is to roughly optimize these settings offline with predictive models and then only perform the fine tuning in the engine test bed. To be able to do so, two things are needed; firstly a engine model that will predict how the different setting affect engine performance and secondly how the engine performance affects the emissions.This article shows a new approach for predicting soot emissions. The frame of the model is a multizone approach developed for NO formation prediction. Soot is, in the presented model, predicted by assuming that a roughly constant fraction of the fuel remains as soot on the lean side of the flame and thereafter modelling the conditions for post-flamefront oxidation. The post-flamefront oxidation is assumed to be dominated by surface oxidation, modelled with the Nagle and Strickland Constable oxidation model. By using this simplified emissions model and by replacing time demanding equations with look-up tables, the calculation time needed to predict both NO and soot was reduced to approximately 0.15 seconds per engine cycle.The resulting model shows good agreement with measured emissions for both NOx and soot over a wide range of operating conditions with conventional diesel combustion

Notes:

Vendor supplied data

Publisher Number:

2009-01-1121

Access Restriction:

Restricted for use by site license