Validation of a zero-dimensional model for prediction of NOx and engine performance for electronically controlled marine two-stroke diesel engines

Fabio Scappin, Sigurður H. Stefansson, Fredrik Haglind, Anders Andreasen, Ulrik Larsen

Research output: Contribution to journalJournal articleResearchpeer-review

1 Downloads (Pure)

Abstract

The aim of this paper is to derive a methodology suitable for energy system analysis for predicting the performance and NOx emissions of marine low speed diesel engines. The paper describes a zero-dimensional model, evaluating the engine performance by means of an energy balance and a two zone combustion model using ideal gas law equations over a complete crank cycle. The combustion process is divided into intervals, and the product composition and flame temperature are calculated in each interval. The NOx emissions are predicted using the extended Zeldovich mechanism. The model is validated using experimental data from two MAN B&W engines; one case being data subject to engine parameter changes corresponding to simulating an electronically controlled engine; the second case providing data covering almost all model input and output parameters. The first case of validation suggests that the model can predict specific fuel oil consumption and NOx emissions within the 95% confidence intervals given by the experimental measurements. The second validation confirms the capability of the model to match measured engine output parameters based on measured engine input parameters with a maximum 5% deviation.
Original languageEnglish
JournalApplied Thermal Engineering
Volume37
Pages (from-to)344-352
ISSN1359-4311
DOIs
Publication statusPublished - 2012

Keywords

  • Engine tuning
  • Zero-dimensional
  • NOx
  • Emissions
  • Diesel engine
  • Performance
  • Optimization
  • Modeling

Fingerprint Dive into the research topics of 'Validation of a zero-dimensional model for prediction of NOx and engine performance for electronically controlled marine two-stroke diesel engines'. Together they form a unique fingerprint.

Cite this