4.7 Article

Mechanism reduction for multicomponent surrogates: A case study using toluene reference fuels

Journal

COMBUSTION AND FLAME
Volume 161, Issue 11, Pages 2752-2764

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.combustflame.2014.05.001

Keywords

Mechanism reduction; Multicomponent fuels; Surrogate fuels; Skeletal mechanism; Directed relation graph methods

Funding

  1. National Science Foundation [0932559, DGE-0951783]
  2. Department of Defense through National Defense Science and Engineering Graduate Fellowship program
  3. Combustion Energy Frontier Research Center an Energy Frontier Research Center - US Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-SC0001198]
  4. Div Of Chem, Bioeng, Env, & Transp Sys
  5. Directorate For Engineering [0932559] Funding Source: National Science Foundation

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Strategies and recommendations for performing skeletal reductions of multicomponent surrogate fuels are presented, through the generation and validation of skeletal mechanisms for a three-component toluene reference fuel. Using the directed relation graph with error propagation and sensitivity analysis method followed by a further unimportant reaction elimination stage, skeletal mechanisms valid over comprehensive and high-temperature ranges of conditions were developed at varying levels of detail. These skeletal mechanisms were generated based on autoignition simulations, and validation using ignition delay predictions showed good agreement with the detailed mechanism in the target range of conditions. When validated using phenomena other than autoignition, such as perfectly stirred reactor and laminar flame propagation, tight error control or more restrictions on the reduction during the sensitivity analysis stage were needed to ensure good agreement. In addition, tight error limits were needed for close prediction of ignition delay when varying the mixture composition away from that used for the reduction. In homogeneous compression-ignition engine simulations, the skeletal mechanisms closely matched the point of ignition and accurately predicted species profiles for lean to stoichiometric conditions. Furthermore, the efficacy of generating a multicomponent skeletal mechanism was compared to combining skeletal mechanisms produced separately for neat fuel components; using the same error limits, the latter resulted in a larger skeletal mechanism size that also lacked important cross reactions between fuel components. Based on the present results, general guidelines for reducing detailed mechanisms for multicomponent fuels are discussed. (c) 2014 The Combustion Institute. Published by Elsevier Inc. All rights reserved.

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