Thermodynamic simulation for the investigation of marine Diesel engines
Thermodynamic simulation for the investigation of marine Diesel engines
Emissions in the shipping industry are a major environmental concern and IMO regulations are increasingly stringent. Existing methods to assess marine exhaust gas emissions require large and specialised input data-sets. There is therefore a requirement for a methodology which can resolve the dilemma of estimating time-varying gas properties with sufficient accuracy to, for example, predict NOX emissions, whilst also being applicable across the variety of engine types and operational modes that prevail in the marine context, for which there is often sparse input data. In this paper, the influence upon thermal efficiency and the prediction of gas temperature time-histories of differing levels of sophistication in modelled gas properties and composition models is therefore evaluated, as is the effect of modelling engine losses. Using the results of this study, a coupled dynamic-thermodynamic engine simulation in the time-domain is developed, capable of modelling engine performance across the full range of operational conditions (speed and load), including part-load and transient conditions. The simulation is validated against the Otto cycle and through simulations of experimental engine data, the model is shown to successfully predict actual engine performance across a range of engine load conditions.
Diesel, Emissions, Engine, Exhaust, Modelling, Simulation
117-128
Murphy, A.J.
8e021dad-0c60-446b-a14e-cddd09d44626
Norman, A.J.
13bb0b3f-e521-465e-b560-20f93777fa01
Pazouki, K.
1e69a646-83da-49ce-af3a-c40808c83ffe
Trodden, D.G.
833492e5-aa34-4f70-a23e-e9e5e99b985e
21 May 2015
Murphy, A.J.
8e021dad-0c60-446b-a14e-cddd09d44626
Norman, A.J.
13bb0b3f-e521-465e-b560-20f93777fa01
Pazouki, K.
1e69a646-83da-49ce-af3a-c40808c83ffe
Trodden, D.G.
833492e5-aa34-4f70-a23e-e9e5e99b985e
Murphy, A.J., Norman, A.J., Pazouki, K. and Trodden, D.G.
(2015)
Thermodynamic simulation for the investigation of marine Diesel engines.
Ocean Engineering, 102, .
(doi:10.1016/j.oceaneng.2015.04.004).
Abstract
Emissions in the shipping industry are a major environmental concern and IMO regulations are increasingly stringent. Existing methods to assess marine exhaust gas emissions require large and specialised input data-sets. There is therefore a requirement for a methodology which can resolve the dilemma of estimating time-varying gas properties with sufficient accuracy to, for example, predict NOX emissions, whilst also being applicable across the variety of engine types and operational modes that prevail in the marine context, for which there is often sparse input data. In this paper, the influence upon thermal efficiency and the prediction of gas temperature time-histories of differing levels of sophistication in modelled gas properties and composition models is therefore evaluated, as is the effect of modelling engine losses. Using the results of this study, a coupled dynamic-thermodynamic engine simulation in the time-domain is developed, capable of modelling engine performance across the full range of operational conditions (speed and load), including part-load and transient conditions. The simulation is validated against the Otto cycle and through simulations of experimental engine data, the model is shown to successfully predict actual engine performance across a range of engine load conditions.
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More information
Accepted/In Press date: 5 April 2015
e-pub ahead of print date: 21 May 2015
Published date: 21 May 2015
Additional Information:
Funding Information:
This work was partly conducted within the Clean North Sea Shipping Project (CNSS), www.CNSS.no, and partly within the Engineering and Physical Sciences Research Council (EPSRC) Shipping in Changing Climates project (EP/K039253/1). The authors wish to thank and acknowledge the support for this work from the European Commission, Regional Development Fund, Interreg IVB North Sea Region Programme, 2007–2013 and the Engineering and Physical Science Research Council, UK.
Keywords:
Diesel, Emissions, Engine, Exhaust, Modelling, Simulation
Identifiers
Local EPrints ID: 483673
URI: http://eprints.soton.ac.uk/id/eprint/483673
ISSN: 0029-8018
PURE UUID: a3a3a77d-758f-48a4-9416-8ddf2a5cd693
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Date deposited: 03 Nov 2023 17:50
Last modified: 17 Mar 2024 13:35
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Contributors
Author:
A.J. Murphy
Author:
A.J. Norman
Author:
K. Pazouki
Author:
D.G. Trodden
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