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Applying Detailed Kinetics to Realistic Engine Simulation: the Surrogate Blend Optimizer and Mechanism Reduction Strategies
Journal Article
2010-01-0541
ISSN: 1946-3936, e-ISSN: 1946-3944
Sector:
Citation:
Naik, C., Puduppakkam, K., Wang, C., Kottalam, J. et al., "Applying Detailed Kinetics to Realistic Engine Simulation: the Surrogate Blend Optimizer and Mechanism Reduction Strategies," SAE Int. J. Engines 3(1):241-259, 2010, https://doi.org/10.4271/2010-01-0541.
Language:
English
Abstract:
Designing advanced, clean and fuel-efficient engines requires
detailed understanding of fuel chemistry. While knowledge of fuel
combustion chemistry has grown rapidly in recent years, the
representation of conventional fossil fuels in full detail is still
intractable. A popular approach is to use a model-fuel or surrogate
blend that can mimic various characteristics of a conventional
fuel. Despite the use of surrogate blends, there remains a gap
between detailed chemistry and its utilization in computational
fluid dynamics (CFD), due to the prohibitive computational cost of
using thousands of chemical species in large numbers of
computational cells. This work presents a set of software tools
that help to enable the use of detailed chemistry in representing
conventional fuels in CFD simulation. The software tools include
the Surrogate Blend Optimizer and a suite of automated mechanism
reduction strategies.
We start with a detailed reaction mechanism that contains
chemistry for over 26 fuel components (over 3800 species and 15000
reactions) including surrogate components suitable for modeling
everything from natural gas to gasoline and diesel, including
ethanol. The mechanism is capable of predicting NOx
emissions and soot precursors, and has been validated using
fundamental experimental data available in the literature. Using
the components in the master mechanism, an optimum blend is
generated automatically that can capture the specified physical,
combustion, and emission characteristics of conventional fuels.
Selected targets can be used to match the specific behavior of real
fuels. These targets can include octane number, cetane number, and
heating value for combustion characteristics; hydrocarbon class of
components and true boiling point curve for physical
characteristics; and molar H/C ratio for soot emission
characteristics. The master mechanism can then be reduced using the
guided mechanism reduction tools based on any reactor model
available in the CHEMKIN-PRO software suite, such as the multi-zone
IC engine model and flame simulators. Several methods for mechanism
reduction, including skeletalization and more severe reduction
techniques, have been implemented in a software package that works
in conjunction with the CHEMKIN-PRO software. The master mechanism
can be reduced for the surrogate blend so that it can reproduce
selected targets, such as ignition times, laminar flame speeds,
fuel and emission concentration profiles, or any other property
from the available reactor model, within a specified level of
accuracy requested for the reduced mechanism. Strategies for
combining different methods in automated reduction are suggested
that result in reduced mechanisms for both gasoline and diesel
surrogates, which are being used directly in engine CFD simulations
employing fast chemistry solvers.