In this study, a model is developed to simulate the dynamics of an internal combustion engine, and it is calibrated and validated against reliable experimental data, making it a tool that can effectively be adopted to conduct emission predictions. In this work, the Ricardo WAVE software is applied to the simulation of a particular marine diesel engine, a four-stroke engine used in the maritime field. Results from the bench tests are used for the calibration of the model. Finally, the calibration of the model and its validation with full-scale data measured at sea are presented. The prediction includes not only the classic engine operating parameters for a comparison with surveys but also an estimate of nitrogen oxide emissions, which are compared with similar results obtained with emission factors. The calibration of the model made it possible to obtain an overlap between the simulation results and real data with an average error of approximately 7% on power, torque, and consumption. The model provides encouraging results, suggesting further applications, such as in the study on transient conditions, coupling of the engine model with the ship model for a complete simulation of the operating conditions, and optimization studies on consumption and emissions. The availability of the emission data during the sea trial and validated simulation results are the strengths and novelties of this work.

Validation of an Emission Model for a Marine Diesel Engine with Data from Sea Operations / Mocerino, L.; Soares, C. G.; Rizzuto, E.; Balsamo, F.; Quaranta, F.. - In: JOURNAL OF MARINE SCIENCE AND APPLICATION. - ISSN 1993-5048. - 20:3(2021), pp. 534-545. [10.1007/s11804-021-00227-w]

Validation of an Emission Model for a Marine Diesel Engine with Data from Sea Operations

Mocerino L.;Rizzuto E.;Balsamo F.;Quaranta F.
2021

Abstract

In this study, a model is developed to simulate the dynamics of an internal combustion engine, and it is calibrated and validated against reliable experimental data, making it a tool that can effectively be adopted to conduct emission predictions. In this work, the Ricardo WAVE software is applied to the simulation of a particular marine diesel engine, a four-stroke engine used in the maritime field. Results from the bench tests are used for the calibration of the model. Finally, the calibration of the model and its validation with full-scale data measured at sea are presented. The prediction includes not only the classic engine operating parameters for a comparison with surveys but also an estimate of nitrogen oxide emissions, which are compared with similar results obtained with emission factors. The calibration of the model made it possible to obtain an overlap between the simulation results and real data with an average error of approximately 7% on power, torque, and consumption. The model provides encouraging results, suggesting further applications, such as in the study on transient conditions, coupling of the engine model with the ship model for a complete simulation of the operating conditions, and optimization studies on consumption and emissions. The availability of the emission data during the sea trial and validated simulation results are the strengths and novelties of this work.
2021
Validation of an Emission Model for a Marine Diesel Engine with Data from Sea Operations / Mocerino, L.; Soares, C. G.; Rizzuto, E.; Balsamo, F.; Quaranta, F.. - In: JOURNAL OF MARINE SCIENCE AND APPLICATION. - ISSN 1993-5048. - 20:3(2021), pp. 534-545. [10.1007/s11804-021-00227-w]
File in questo prodotto:
File Dimensione Formato  
Mocerino2021_Article_ValidationOfAnEmissionModelFor.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Accesso privato/ristretto
Dimensione 1.03 MB
Formato Adobe PDF
1.03 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/866095
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 8
social impact