Development of an ANN based system identification tool to estimate the performance-emission characteristics of a CRDI assisted CNG dual fuel diesel engine

Abstract In the present study the performance and emission parameters of a single cylinder four-stroke CRDI engine under CNG-diesel dual-fuel mode have been modeled by Artificial Neural Network. An ANN model was developed to predict BSFC, BTE, NO x , PM and HC based on the experimental data, with load, fuel injection pressure and CNG energy share as input parameters for the network. The developed ANN model was capable of predicting the performance and emission parameters with commendable accuracy as observed from correlation coefficients within the range of 0.99833–0.99999, mean absolute percentage error in the range of 0.045–1.66% along with noticeably low root mean square errors provided an acceptable index of the robustness of the predicted accuracy.

[1]  Ugur Kesgin,et al.  Genetic algorithm and artificial neural network for engine optimisation of efficiency and NOx emission , 2004 .

[2]  R. Reitz,et al.  Effects of Injection Pressure and Nozzle Geometry on D.I. Diesel Emissions and Performance , 1995 .

[3]  Gholamhassan Najafi,et al.  Diesel engine performance and exhaust emission analysis using waste cooking biodiesel fuel with an artificial neural network , 2009 .

[4]  Sumit Roy,et al.  Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network , 2014 .

[5]  Ajoy Kumar Das,et al.  A TMI based CNG dual-fuel approach to address the soot–NOx–BSFC trade-off characteristics of a CRDI assisted diesel engine – an EPA perspective , 2014 .

[6]  Mustafa Canakci,et al.  Performance and exhaust emissions of a biodiesel engine , 2006 .

[7]  Adem Çiçek,et al.  Prediction of engine performance for an alternative fuel using artificial neural network , 2012 .

[8]  Federico Millo,et al.  Experimental and computational analysis of different EGR systems for a Common Rail passenger car Diesel engine , 2009 .

[9]  Akihiko Minato,et al.  Investigation of premixed lean diesel combustion with ultra high pressure injection , 2005 .

[10]  Muhammet Cerit,et al.  Experimental study of NOx emissions and injection timing of a low heat rejection diesel engine , 2008 .

[11]  Paul J. Shayler,et al.  The exploitation of neural networks in automotive engine management systems , 2000 .

[12]  Sedat Bayseç,et al.  Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks , 2010 .

[13]  Antonio Paolo Carlucci,et al.  Experimental investigation and combustion analysis of a direct injection dual-fuel diesel–natural gas engine , 2008 .

[14]  Adnan Sözen,et al.  Solar potential in Turkey , 2005 .

[15]  G. Nagarajan,et al.  Influence of injection timing on performance, emission and combustion characteristics of a DI diesel engine running on waste plastic oil , 2009 .

[16]  T. Johnson.  Diesel Emission Control in Review , 2001 .

[17]  Erol Arcaklioğlu,et al.  A diesel engine's performance and exhaust emissions , 2005 .

[18]  Hyun Kyu Suh,et al.  Investigations of multiple injection strategies for the improvement of combustion and exhaust emissions characteristics in a low compression ratio (CR) engine , 2011 .

[19]  Hoon Kiat Ng,et al.  Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends , 2012 .

[20]  Mustafa Canakci,et al.  Performance and exhaust emissions of a gasoline engine using artificial neural network , 2007 .

[21]  Jesús Benajes,et al.  Combustion and Exhaust Emissions in a Heavy-Duty Diesel Engine with Increased Premixed Combustion Phase by Means of Injection Retarding , 2006 .

[22]  Magín Lapuerta,et al.  Modeling diesel particulate emissions with neural networks , 2001 .

[23]  Adnan Parlak,et al.  Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine , 2006 .

[24]  Takashi Okamoto,et al.  Combustion and exhaust gas emission characteristics of a diesel engine dual- fueled with natural gas , 2000 .

[25]  Patrik Soltic,et al.  Experimental investigation on different injection strategies in a heavy-duty diesel engine: Emissions and loss analysis , 2011 .

[26]  S. G. Fritz,et al.  Emissions From Heavy-Duty Trucks Converted to CNG , 1992 .

[27]  Marco Badami,et al.  Influence of Injection Pressure on the Performance of a DI Diesel Engine with a Common Rail Fuel Injection System , 1999 .

[28]  Yusuf Çay,et al.  Prediction of a gasoline engine performance with artificial neural network , 2013 .

[29]  Yasushi Tanaka,et al.  Technologies of DENSO Common Rail for Diesel Engine and Consumer Values , 2004 .

[30]  P. Srinivasa Pai,et al.  Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings , 2011 .

[31]  K. Kvenvolden,et al.  Natural Gas Hydrate Occurrence and Issues , 1994 .

[32]  D N Assanis,et al.  Development of a neural network model of an advanced, turbocharged diesel engine for use in vehicle-level optimization studies , 2004 .

[33]  Yakup Sekmen,et al.  Artificial neural-network based modeling of variable valve-timing in a spark-ignition engine , 2005 .

[34]  Philip Gerald Blakeman,et al.  On The Road to 2010 Emissions: Field Test Results and Analysis with DPF-SCR System and Ultra Low Sulfur Diesel Fuel , 2005 .

[35]  Haji Hassan Masjuki,et al.  An experimental investigation of high performance natural gas engine with direct injection , 2011 .

[36]  J. Desantes,et al.  The modification of the fuel injection rate in heavy-duty diesel engines: Part 2: Effects on combustion , 2004 .

[37]  Konstantinos Boulouchos,et al.  Influence of EGR on Combustion and Exhaust Emissions of Heavy Duty DI-Diesel Engines Equipped with Common-Rail Injection Systems , 2001 .

[38]  Johan Lennblad,et al.  Neural Network Based Fast-Running Engine Models for Control-Oriented Applications , 2005 .

[39]  Furio Cascetta,et al.  Measuring of compressed natural gas in automotive application: A comparative analysis of mass versus volumetric metering methods , 2008 .

[40]  Lino Guzzella,et al.  Modeling and Control of CNG Engines , 2002 .

[41]  Rahul Banerjee,et al.  An Experimental Investigation on the Role of Hydrogen in the Emission Reduction and Performance Trade-Off Studies in an Existing Diesel Engine Operating in Dual Fuel Mode Under Exhaust Gas Recirculation , 2012 .

[42]  T. Johnson.  Review of Diesel Emissions and Control , 2010 .

[43]  B. F. Yousif,et al.  CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network , 2010 .

[44]  T. Balusamy,et al.  Effect of Injection Time and Injection Pressure on CI Engine Fuelled with Methyl Ester of Thevetia Peruviana Seed Oil , 2010 .

[45]  Ismail Saritas,et al.  Prediction of diesel engine performance using biofuels with artificial neural network , 2010, Expert Syst. Appl..

[46]  Rolf Isermann,et al.  Modeling and Real-Time Simulation of Diesel Engines for Control Design , 1998 .

[47]  G. R. Kannan,et al.  Experimental investigation on diesel engine with diestrolwater micro emulsions , 2011 .

[48]  A. Maiboom,et al.  Experimental study of various effects of exhaust gas recirculation (EGR) on combustion and emissions of an automotive direct injection diesel engine , 2008 .

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

[50]  T. Johnson,et al.  Diesel Emissions in Review , 2011 .

[51]  Dimitrios C. Rakopoulos,et al.  Investigating the emissions during acceleration of a turbocharged diesel engine operating with bio-d , 2010 .

[52]  Gholamhassan Najafi,et al.  Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network , 2009 .

[53]  N. V. Mahalakshmi,et al.  Performance, emission and combustion characteristics of poon oil and its diesel blends in a DI diesel engine , 2009 .

[54]  Erol Arcaklioğlu,et al.  Performance maps of a diesel engine , 2005 .

[55]  Hua Zhao.  Advanced Direct Injection Combustion Engine Technologies and Development , 2010 .

[56]  Amit Pal,et al.  Use of CNG and Diesel in CI Engines in Dual Fuel Mode , 2008 .

[57]  Terukazu Nishimura,et al.  Dual Mode Combustion Concept With Premixed Diesel Combustion by Direct Injection Near Top Dead Center , 2003 .

[58]  Soteris A. Kalogirou,et al.  Artificial intelligence for the modeling and control of combustion processes: a review , 2003 .

[59]  Ouyang Minggao,et al.  Experimental Research on EGR in a Diesel Engine Equipped with Common Rail Injection System , 2003 .

[60]  Probir Kumar Bose,et al.  An experimental investigation of performance-emission trade off of a CI engine fueled by diesel–compressed natural gas (CNG) combination and diesel–ethanol blends with CNG enrichment , 2013 .

[61]  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 .

[62]  Dennis L. Siebers,et al.  Non-Sooting, Low Flame Temperature Mixing-Controlled DI Diesel Combustion , 2003 .