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Real-time evaluation of detailed chemistry based on SRM-GT-Power coupling for HCCI engine application S. Mosbach, A. Aldawood, M.Celnik, A. Bhave and M. Kraft 11 th GT-SUITE Conference Birmingham, MI, 13/11/2007

Real-time evaluation of detailed chemistry based on SRM-GT ...€¦ · Real-time evaluation of detailed chemistry based on SRM-GT-Power coupling for HCCI engine application S. Mosbach,

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  • Real-time evaluation of detailed chemistry based on SRM-GT-Power coupling for HCCI engine application

    S. Mosbach, A. Aldawood, M.Celnik, A. Bhave and M. Kraft

    11th GT-SUITE ConferenceBirmingham, MI, 13/11/2007

  • Content

    • SRM approach

    • Model capabilities

    • Transient simulation with detailed kinetics

    http://como.cheng.cam.ac.uk

    Acknowledgements

    • Hongzhi Zhang, University of Utah

    • Members of the CoMo Group, Cambridge

    • GT-SUITE support team

  • Models PFI, and multiple DI

    Fuels modelled: conventional and alternative surrogates

    Detailed chemical kinetics

    Accounts for inhomogeneities in composition and temperature, and fluctuations

    Efficient operation on standard desktop PCs

    Integrates seamlessly with1-D engine cycle code (full engine cycle simulation)

    chemical kinetics code

    Detailed model description

    • SAE 2004-01-0561, 2005-01-0161, 2006-01-1362, 2007-01-1880

    • Int. J. Engine Res., 5, 1, 2004, 93-104

    • Combust. Flame: [144, 2006, 634-637], [147, 2006, 118-132]

    SRM: Stochastic Reactor Model

    SRM benefits

  • f (T,t)

    Nf (T,t)

    • Fuel injection• Turbulent mixing• Convective heat loss• Chemical kinetics

    Stochastic particle system

    Turbulent reactive flow

    PDF transport equation

    Stochastic approach

  • Temporal evolution (T-Φ space)

    • Injection at -40 CAD ATDC

    • Injection duration: 3 CAD

  • 1. Multiple direct injection

    2. Boundaries of HCCI operation

    3. Soot PSDF in SRM

    4. Transient simulation with detailed kinetics

    SRM capabilities

  • JSAE 20077195

    1. Optimal second injection in PCCI

  • 800

    1000

    1200

    1400

    1600

    1800

    -40 -30 -20 -10 0 10 20 30 40

    cycle 55cycle 56cycle 57cycle 58cycle 59cycle 60cycle 61cycle 62cycle 63cycle 64cycle 65

    T (K

    )

    CAD

    Partial Burn

    KnockMisfire

    Indicated thermal efficiency (%)

    • Knock: > 10 bar/CAD

    • Partial burnExtremely high CO and HCVery low IMEP

    • MisfireCyclic variation

    SAE Paper 2005-01-0161

    800

    1000

    1200

    1400

    1600

    1800

    2000

    -40 -30 -20 -10 0 10 20 30 40

    cycle 55cycle 56cycle 57cycle 58cycle 59cycle 60cycle 61

    T (K

    )

    CAD

    2. Boundaries of HCCI

  • • Prediction of soot aggregates

    3. Soot PSDF coupled with SRM

  • Temporal evolution of PSDF

    Injection timing: -10 CAD ATDC

  • Soot characteristics

  • • Problem: Computational expense (1-2 hrs per cycle)

    • Solution: Storage/retrieval

    • Studies of transient engine operation, control, DOE, and optimization involve simulations over many cycles

    • Incorporate tabulation as external cylinder model into GT-Power

    4. Real-time transient simulation

  • • Full-cycle simulations through coupling to GT-Power 6.2 as external cylinder model

    • Collaboration with M. Sjöberg and J. Dec

    Real-time transient simulation

  • GT-Power engine map with sensors and controller

    Example: transient control

  • • PID controller changes fuel composition (octane number) such that…

    • Imposed equivalence ratio profile

    • … ignition timing (CA50) is held at a given set point.

    Example: transient control (II)

  • • and emissions (e.g.)

    • Since SRM accounts for inhomogeneities, turbulent mixing, and detailed chemical kinetics, can look at…

    • maximum pressure rise rates,

    Misfire cycle

    Example: transient control (III)

  • • Live GT-Power simulation…

    Example: transient control (IV)

    Real-time evaluation of detailed chemistry based on �SRM-GT-Power coupling for HCCI engine applicationTemporal evolution of PSDF