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Toward Predictive Combustion Modeling of CNG SI Engines in 1D Simulation Tools
Technical Paper
2020-01-2079
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In the recent years, the interest in heavy-duty engines fueled with Compressed Natural Gas (CNG) is increasing due to the necessity to comply with the stringent CO2 limitation imposed by national and international regulations. Indeed, the reduced number of carbon atoms of the NG molecule allows to reduce the CO2 emissions compared to a conventional fuel. The possibility to produce synthetic methane from renewable energy sources, or bio-methane from agricultural biomass and/or animal waste, contributes to support the switch from conventional fuel to CNG.
To drive the engine development and reduce the time-to-market, the employment of numerical analysis is mandatory. This requires a continuous improvement of the simulation models toward real predictive analyses able to reduce the experimental R&D efforts.
In this framework, 1D numerical codes are fundamental tools for system design, energy management optimization, and so on. The present work is focused on the improvement of the combustion model of natural gas spark ignition engines suitable for 1D simulation. To this aim, an extensive experimental campaign of a SI engine, customized for CNG use, is carried out at various speeds and loads, in which global engine performance and cylinder pressure traces are recorded and analyzed. Subsequently, a 1D model of the tested engine is implemented in a commercial tool and integrated with “in-house developed” sub-models for the description of in-cylinder phenomena, such as combustion, turbulence and heat transfer.
The proposed numerical approach, extensively validated in the past for gasoline fueled engines, shows here the ability to reproduce with good accuracy the performance of a heavy-duty CNG fueled engine, too. In particular, the in-cylinder pressure traces, burn rates and main performance parameters, are well predicted in its whole operating plane, without requiring a case-dependent tuning.
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Riccardi, M., Tufano, D., Beatrice, C., Bozza, F. et al., "Toward Predictive Combustion Modeling of CNG SI Engines in 1D Simulation Tools," SAE Technical Paper 2020-01-2079, 2020, https://doi.org/10.4271/2020-01-2079.Data Sets - Support Documents
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References
- https://ec.europa.eu/clima/sites/clima/files/docs/pages/vision_1_emissions_en.pdf
- Fraidl , G. Aug. 2019
- Pengg , H. Apr. 2018
- Alamia , A. , Magnusson , I. , Johnsson , F. , and Thunman , H. Well-to-Wheel Analysis of Bio-Methane via Gasification, in Heavy Duty Engines within the Transport Sector of the European Union Applied Energy 170 445 454 2016 10.1016/j.apenergy.2016.02.001
- Blanco , H. , Nijs , W. , Ruf , J. , and Faaij , A. Potential of Power-to-Methane in the EU Energy Transition to a Low Carbon System Using Cost Optimization Applied Energy 232 323 340 2018 10.1016/j.apenergy.2018.08.027
- https://ec.europa.eu/info/law/better-regulation/have-your-say/initiatives/12313-Development-of-Euro-7-emission-standards-for-cars-vans-lorries-and-buses
- https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0427
- Maroteaux , D. http://www.sae-na.it
- Trindade , W. , and Santos , R. Combustion Modeling Applied to Engines Using a 1D Simulation Code SAE Technical Paper 2016-36-0347 2016 https://doi.org/10.4271/2016-36-0347
- Demesoukas , S. , Caillol , C. , Higelin , P. , and Boiarciuc , A. Zero-Dimensional Spark Ignition Combustion Modeling - A Comparison of Different Approaches SAE Technical Paper 2013-24-0022 2013 https://doi.org/10.4271/2013-24-0022
- Taritas , I. , Kozarac , D. , Sjeric , M. , and Sierra Aznar , M. Development and Validation of a Quasi-Dimensional Dual Fuel (Diesel - Natural Gas) Combustion Model SAE Int. J. Engines 10 2 483 500 2017 https://doi.org/10.4271/2017-01-0517
- Teodosio , L. , De Bellis , V. , and Bozza , F. Combined Effects of Valve Strategies, Compression Ratio, Water Injection, and Cooled EGR on the Fuel Consumption of a Small Turbocharged VVA Spark-Ignition Engine SAE International Journal of Engines 11 6 643 656 https://www.jstor.org/stable/26649121
- Tornatore , C. , Siano , D. , Marchitto , L. , Iacobacci , A. et al. Water Injection: A Technology to Improve Performance and Emissions of Downsized Turbocharged Spark Ignited Engines SAE International Journal of Engines 10 5 2319 2329 2017 https://www.jstor.org/stable/264226160
- Bozza , F. , De Bellis , V. , Teodosio , L. , Tufano , D. , and Malfi , E. Techniques for CO 2 Emission Reduction Over a WLTC. A Numerical Comparison of Increased Compression Ratio, Cooled EGR and Water Injection SAE Technical Paper 2018-37-0008 2018 https://doi.org/10.4271/2018-37-0008
- De Bellis , V. , Severi , E. , Fontanesi , S. , and Bozza , F. Hierarchical 1D/3D Approach for the Development of a Turbulent Combustion Model Applied to a VVA Turbocharged Engine. Part II: Combustion Model Energy Procedia 45 1027 1036 2014 10.1016/j.egypro.2014.01.108
- Franke , C. , Wirth , A. , Peters , N. 1990
- Gatowsky , J.A. , and Heywood , J.B. Flame Photographs in a Spark-Ignition Engine Combustion and Flame 56 71 81 1984
- North , G.L. , and Santavicca , D.A. The Fractal Nature of Premixed Turbulent Flames Combustion Science and Technology 72 4-6 215 232 1990 10.1080/00102209008951648
- Bozza , F. , De Bellis , V. , Berni , F. , D'Adamo , A. , and Maresca , L. Refinement of a 0D Turbulence Model to Predict Tumble and Turbulent Intensity in SI Engines. Part I: 3D Analyses SAE Technical Paper 2018-01-0850 2018 https://doi.org/10.4271/2018-01-0850
- Bozza , F. , Teodosio , L. , De Bellis , V. , Fontanesi , S. , and Iorio , A. A Refined 0D Turbulence Model to Predict Tumble and Turbulence in SI Engines SAE International Journal of Engines 12 03-12-01-0002 4271/03-12-01-0002
- De Bellis , V. , Bozza , F. , and Tufano , D. A Comparison Between Two Phenomenological Combustion Models Applied to Different SI Engines SAE Technical Paper 2017-01-2184 2017 https://doi.org/10.4271/2017-01-2184
- De Bellis , V. , Malfi , E. , Teodosio , L. , Giannattasio , P. , and Di Lenarda , F. A Novel Laminar Flame Speed Correlation for the Refinement of the Flame Front Description in a Phenomenological Combustion Model for Spark-Ignition Engines SAE International Journal of Engines 12 3 251 271 2019
- Blizard , N. , and Keck , J. Experimental and Theoretical Investigation of Turbulent Burning Model for Internal Combustion Engines SAE Technical Paper 740191 1974 https://doi.org/10.4271/740191
- Keck , J. , Heywood , J. , and Noske , G. Early Flame Development and Burning Rates in Spark Ignition Engines and Their Cyclic Variability SAE Technical Paper 870164 1987 https://doi.org/10.4271/870164
- Peters , N. Laminar Flamelet Concepts in Turbulent Combustion Symposium (International) on Combustion 21 1 1231 1250 1988 10.1016/S0082-0784(88)80355-2
- Bates , C.S. http://www.tvu.com/
- North , G.L. , and Santavicca , D.A. The Fractal Nature of Premixed Turbulent Flames Combustion Science and Technology 72 4-6 215 232 1990 10.1080/00102209008951648
- Heywood , J.B. Internal Combustion Engine Fundamentals 930 New York Mcgraw-Hill 1988 007028637X
- Lavoie , G. , Heywood , J. , and Keck , J. Experimental and Theoretical Study of Nitric Oxide Formation in Internal Combustion Engines Combustion science and technology 1 4 313 326 1970 10.1080/00102206908952211
- Amirante , R. , Distaso , E. , Tamburrano , P. , and Reitz , R.D. Laminar Flame Speed Correlations for Methane, Ethane, Propane and their Mixtures, and Natural Gas and Gasoline for Spark-Ignition Engine Simulations International Journal of Engine Research 18 9 951 970 2017 10.1177/146808747720018
- Amirante , R. , Distaso , E. , Tamburrano , P. , and Reitz , R.D. Analytical Correlations for Modeling the Laminar Flame Speed of Natural Gas Surrogate Mixtures Energy Procedia 126 850 857 2017 10.1016/j.egypro.2017.08.289
- Teodosio , L. , Bozza , F. , Tufano , D. , Giannattasio , P. et al. Impact of the Laminar Flame Speed Correlation on the Results of a Quasi-Dimensional Combustion Model for Spark-Ignition Engine Energy Procedia 148 631 638 2018 10.1016/j.egypro.2018.08.151