Computational investigation of a large containership propulsion engine operation at slow steaming conditions

In this article, the operation of a large containership main engine was investigated with emphasis at slow steaming conditions. A cycle mean value approach implemented in the MATLAB/Simulink environment was adopted to simulate the two-stroke marine diesel engine due to the fact that it combines simplicity with adequate prediction accuracy. For accurately representing the compressor performance when the engine operates at low loads, the extension of the compressor map at the low rotational speed region was carried out based on a non-dimensional parameters method incorporating a novel way of calculating the compressor isentropic efficiency. The compressor map extension method results were validated using a corrected similarity laws approach. The engine steady state operation for various loads was simulated and the predicted engine performance parameters were validated using shop trial measurements. Furthermore, the engine transient operation in the load region below 50% was studied and the simulation results including the compressor operating points trajectory are presented and discussed. Based on the obtained results, the influence of the activation/deactivation of the installed electric driven blowers and the turbocharger cut-out on the engine operation was analysed.

[1]  Hewu Wang,et al.  Effects of pilot fuel quantity on the emissions characteristics of a CNG/diesel dual fuel engine with optimized pilot injection timing , 2013 .

[2]  O. Cortés,et al.  Optimization of operating conditions for compressor performance by means of neural network inverse , 2009 .

[3]  Carolina García-Martos,et al.  Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities , 2013 .

[4]  Yue-Jun Zhang,et al.  Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: Some empirical evidence , 2013 .

[5]  G Chandroth,et al.  Condition monitoring: the case for integrating data from independent sources , 2004 .

[6]  Lingen Chen,et al.  Neural-network based analysis and prediction of a compressor's characteristic performance map , 2007 .

[7]  W. Rohsenow,et al.  Handbook of Heat Transfer Fundamentals , 1985 .

[8]  Vincent Talon,et al.  Implementing Turbomachinery Physics into Data Map-Based Turbocharger Models , 2009 .

[9]  Pierre Cariou,et al.  Is slow steaming a sustainable means of reducing CO2 emissions from container shipping , 2011 .

[10]  Ahmet Selamet,et al.  Simulation of Mild Surge in a Turbocharger Compression System , 2010 .

[11]  Gerasimos Theotokatos,et al.  On the cycle mean value modelling of a large two-stroke marine diesel engine , 2010 .

[12]  Massimo Figari,et al.  Numerical simulation of ship propulsion transients and full-scale validation , 2003 .

[13]  T. Notteboom,et al.  The effect of high fuel costs on liner service configuration in container shipping , 2009 .

[14]  Dimitrios T. Hountalas,et al.  Prediction of marine diesel engine performance under fault conditions , 2000 .

[15]  이정호,et al.  Fundamentals of Fluid Mechanics, 6th Edition , 2009 .

[16]  Guillaume Colin,et al.  New Physics-Based Turbocharger Data-Maps Extrapolation Algorithms: Validation on a Spark-Ignited Engine , 2012 .

[17]  A G Livanos,et al.  Simulation of large marine two-stroke diesel engine operation during fire in the scavenging air receiver , 2003 .

[18]  Gerasimos Theotokatos,et al.  A computational study on the performance and emission parameters mapping of a ship propulsion system , 2015 .

[19]  Wayne Randolph Sexton A Method to Control Turbofan Engine Starting by Varying Compressor Surge Valve Bleed , 2001 .

[20]  E. Hendricks Mean Value Modelling of Large Turbocharged Two-Stroke Diesel Engines , 1989 .

[21]  Fredrik Haglind,et al.  Validation of a zero-dimensional model for prediction of NOx and engine performance for electronically controlled marine two-stroke diesel engines , 2012 .

[22]  Nikolaos Xiros Robust Control of Diesel Ship Propulsion , 2012 .

[23]  N P Kyrtatos,et al.  PERFORMANCE PREDICTION OF NEXT GENERATION SLOW SPEED DIESEL ENGINES DURING SHIP MANOEUVRES , 1994 .

[24]  Kaveh Ghorbanian,et al.  An artificial neural network approach to compressor performance prediction , 2009 .

[25]  Chuanguo Zhang,et al.  The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries , 2014 .

[26]  Carlos Guardiola,et al.  Development of a control-oriented model to optimise fuel consumption and NOX emissions in a DI Diesel engine , 2014 .

[27]  Elbert Hendricks,et al.  Mean Value Modeling of a Small Turbocharged Diesel Engine , 1991 .

[28]  Pascal Chesse,et al.  Real-time performance simulation of marine Diesel engines for the training of navy crews , 2004 .

[29]  N. Watson,et al.  Turbocharging the internal combustion engine , 1982 .

[30]  T. Notteboom The Time Factor in Liner Shipping Services , 2006 .

[31]  J. P. Hartnett,et al.  Handbook of Heat Transfer Fundamentals (Second Edition) , 1986 .

[32]  Inge Sandaas,et al.  Reductions in cost and greenhouse gas emissions with new bulk ship designs enabled by the Panama Canal expansion , 2013 .

[33]  J B Woodward,et al.  MODELING OF DIESEL ENGINE TRANSIENT BEHAVIOR IN MARINE PROPULSION ANALYSIS , 1984 .