This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines
Technical Paper
2016-01-0798
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Interest in operational cost reduction is driving engine manufacturers to consider low-cost fuel substitution in heavy-duty diesel engines. These dual-fuel (DF) engines could be operated either in diesel-only mode or operated with premixed natural gas (NG) ignited by a pilot flame of compression-ignited direct-injected diesel fuel. Under certain conditions, dual-fuel operation can result in increased cycle-to-cycle variability (CCV) during combustion. CFD can greatly help in understanding and identifying critical parameters influencing CCV. Innovative modelling techniques and large computing resources are needed to investigate the factors affecting CCV in dual-fuel engines. This paper discusses the use of the High Performance Computing resource Titan, at Oak Ridge National Laboratory, to investigate CCV of a dual-fuel engine. The CONVERGE CFD software was used to simulate multiple, parallel single cycles of dual-fuel combustion with perturbed operating parameters and boundary conditions. Perturbations associated with a single parameter can be studied using samples distributed according to a one dimensional interpolation rule. However, extending such techniques to a multidimensional context is a challenge since the straight forward tensorization leads to an exponential growth of the required number of samples. In contrast, sparse grids are constructed from a linear combination of tensors with varying degree in each dimension where the tensors are chosen in a way that leads to a stable surface fitting algorithm of arbitrary order of accuracy with minimal number of samples. This technique is expected to be useful to understand and predict combustion stability limits in dual fuel combustion.
Recommended Content
Authors
- Ravichandra S. Jupudi - GE Global Research Center
- Charles E.A. Finney - Oak Ridge National Laboratory
- Roy Primus - GE Global Research Center
- Sameera Wijeyakulasuriya - Convergent Science Inc.
- Adam E. Klingbeil - GE Global Research Center
- Bhaskar Tamma - GE Global Research Center
- Miroslav K. Stoyanov - Oak Ridge National Laboratory
Topic
Citation
Jupudi, R., Finney, C., Primus, R., Wijeyakulasuriya, S. et al., "Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines," SAE Technical Paper 2016-01-0798, 2016, https://doi.org/10.4271/2016-01-0798.Also In
References
- http://www.afdc.energy.gov/fuels/prices.html
- Railway Technical Web Pages 1 August 2011 1 August 2011
- Hountalas , D. and Papagiannakis , R. A Simulation Model for the Combustion Process of Natural Gas Engines with Pilot Diesel Fuel as an Ignition Source SAE Technical Paper 2001-01-1245 2001 10.4271/2001-01-1245
- Saha , K. , Som , S. , Li , Y. , Quan , S. and Battistoni , M. Modeling of Internal and Near-nozzle Flow for a GDI Fuel Injector ICEF2015-1112 2015
- Klos , D. and Kokjohn , S.L. Investigation of the Effect of Injection and Control Strategies on Combustion Instability in Reactivity Controlled Compression Ignition (RCCI) Engines Journal of Engineering for Gas Turbines and Power 138 1 2015
- Kokjohn , S.L. , Musculus , M.P.B. and Reitz , R.D. Evaluating Temperature and Fuel Stratification for Heat-Release Rate Control in a Reactivity-Controlled Compression-Ignition Engine using Optical Diagnostics and Chemical Kinetics Modeling Combustion and Flame 162 6 2015
- Kokjohn , S. , Reitz , R. , Splitter , D. , and Musculus , M. Investigation of Fuel Reactivity Stratification for Controlling PCI Heat-Release Rates Using High-Speed Chemiluminescence Imaging and Fuel Tracer Fluorescence, SAE Int. J. Engines 5 2 248 269 2012 10.4271/2012-01-0375
- Granet V. , Vermorel , O. , Lacour , C. , Enaux , B. , Duguã , V. and Poinsot , T. Large-eddy Simulation and Experimental Study of Cycle-to-cycle Variations of Stable and Unstable Operating Points in a Spark Ignition Engine Combustion and Flame 159 4 1562 1575 2012
- Truffin , K. , Angelberger , C. , Richard , S. and Pera , C. Using Large-eddy Simulation and Multivariate Analysis to Understand the Sources of Combustion Cyclic Variability in a Spark-ignition Engine Combustion and Flame 162 12 4371 4390 2015
- Enaux , B. , Graneta , V. , Vermorel , O. , Lacourd , C. , Pera , C. , Angelberger , C. and Poinsot , T. LES study of cycle-to-cycle variations in a spark ignition engine Proceedings of the Combustion Institute 33 2 3115 3122
- Richards K.J. , Senecal P.K. and Pomraning E. 2015 CONVERGE (Version 2.2) Manual Convergent Science, Inc. Madison, Wisconsin, USA
- Issa , R.I. Solution of the Implicitly Discretized Fluid Flow Equations by Operator-Splitting Journal of Computational Physics 62 1 40 65 1986
- Yakhot , V. , Orszag , S.A. , Thangam , S. , Gatski , T.B. and Speziale , C.G. Development of turbulence models for shear flows by a double expansion technique Physics of Fluids A 4 7 1510 1520 1992
- Pomraning , E. , Richards , K. , and Senecal , P. Modeling Turbulent Combustion Using a RANS Model, Detailed Chemistry, and Adaptive Mesh Refinement SAE Technical Paper 2014-01-1116 2014 10.4271/2014-01-1116
- Som , S. , Longman , D. , Aithal , S. , Bair , R. et al. A Numerical Investigation on Scalability and Grid Convergence of Internal Combustion Engine Simulations SAE Technical Paper 2013-01-1095 2013 10.4271/2013-01-1095
- Scarcelli , R. , Sevik J. Jr. , Thomas Wallner , Richards , K. and Senecal , P. Capturing Cyclic Variability in EGR Dilute SI Combustion using Multi-Cycle RANS ICEF2015-1045 2015
- Wang , Z. , Scarcelli , R. , Som , S. , McConnell , S. et al. Multi-Dimensional Modeling and Validation of Combustion in a High-Efficiency Dual-Fuel Light-Duty Engine SAE Technical Paper 2013-01-1091 2013 10.4271/2013-01-1091
- Wijeyakulasuriya , S. D. , Givler , S. , Mandhapati Raju. , Ravichandra S. J. , Ashwin R. , Roy J Primus , Adam E Klingbeil. Multidimensional Modeling and Validation of Dual-Fuel Combustion in a Large Bore Medium Speed Diesel Engine ICEF2015-1077 2015
- Colin , O. , Ducros , F. , Veynante , D. , Poinsot , T. A thickened flame model for large eddy simulations of turbulent premixed combustion Physics of Fluids 12 7 1843 1863 2000
- Babajimopoulos , A.D. , Assanis , N.D. , Flowers , L.S. , Aceves , M.R. and Hessel , P. A Fully Coupled Computational Fluid Dynamics and Multi-Zone Model with Detailed Chemical Kinetics for the Simulation of Premixed Charge Compression Ignition Engines International Journal of Engine Research 6 5 497 512 2005
- Lucchini , T. , D’Errico , G. , Ettorre , D. , and Ferrari , G. Numerical Investigation of Non-Reacting and Reacting Diesel Sprays in Constant-Volume Vessels, SAE Int. J. Fuels Lubr. 2 1 966 975 2009 10.4271/2009-01-1971
- Raju , M. , Wang , M. , Dai , M. , Piggott , W. et al. Acceleration of Detailed Chemical Kinetics Using Multi-zone Modeling for CFD in Internal Combustion Engine Simulations SAE Technical Paper 2012-01-0135 2012 10.4271/2012-01-0135
- Senecal , P.K. , Pomraning , E. , Anders , J.W. , Weber , M.R. , Gehrke , C.R. , Polonowski , C.J. and Mueller , C. J. Predictions of Transient Flame Lift-off Length with Comparison to Single-Cylinder Optical Engine Experiments Journal of Engineering for Gas Turbines and Power 136 11 111505 111505-19 2014
- Reitz , R. and Diwakar , R. Structure of High-Pressure Fuel Sprays SAE Technical Paper 870598 1987 10.4271/870598
- Senecal , P. , Richards , K. , Pomraning , E. , Yang , T. et al. A New Parallel Cut-Cell Cartesian CFD Code for Rapid Grid Generation Applied to In-Cylinder Diesel Engine Simulations SAE Technical Paper 2007-01-0159 2007 10.4271/2007-01-0159
- Schmidt , D.P. and Rutland , C.J. A New Droplet Collision Algorithm Journal of Computational Physics 164 1 62 80 2000
- Senecal , P.K. , Pomraning , E. , Richards , K.J. and Som , S. Grid-Convergent Spray Models for Internal Combustion Engine CFD Simulations Journal of Energy Resources Technology 136 1 012204 012204-11 2014
- Stoyanov , M.K. et al. TASMANIAN: Toolkit for Adaptive Stochastic Modeling and Non-Intrusive Approximation http://tasmanian.ornl.gov ORNL Tech Report: ORNL/TM-2015/596 2015
- Stoyanov , M.K. and Webster , C.G. A dynamically adaptive sparse grid method for quasi-optimal interpolation of multidimensional analytic functions ORNL Tech Report: ORNL/TM-2015/341 2015
- Finney , C.E.A. , Stoyanov , M.K. , Pannala , S. , Daw C.S. , Wagner , R.M. , Edwards , K.D. , Webster , C.G. , Green , J.B. Jr. Application of High Performance Computing for simulating the unstable dynamics of dilute spark-ignited combustion Proceedings of the International Conference on Theory and Application of Nonlinear Dynamics (ICAND 2012) 259 270 2014