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Computational investigations have been conducted to study the reduction of nitric oxide formation by means of water injection into the combustion chamber of large-bore diesel engines using a KIVA-based code. The main objective has been the development of an optimal fuel/water injection strategy which minimizes the nitric oxide formation for the same amount of injected water. The investigated water injection techniques include the injection of water via separate injectors, the injection of fuel/water mixtures and the stratified injection of fuel/water packages via specially designed nozzles. Both, the stratified and the emulsified injections yield best NOx reductions per injected water mass for the same power outputs and at identical cylinder peak pressures, depending on the particular injection configuration. The computational tool is a KIVA-based code where the nitric oxide formation is modeled with a variation of the extended Zeldovich mechanism.

A correction for the turbulence dissipation, based on non-equilibrium turbulence considerations from rapid distortion theory, has been derived and implemented in combination with the RNG k - ε model in a KIVA-based code. This model correction has been tested and compared with the standard RNG k - ε model for the compression and the combustion phase of two heavy duty DI diesel engines. The turbulence behavior in the compression phase shows clear improvements over the standard RNG k - ε model computations. In particular, the macro length scale is consistent with the corresponding time scale and with the turbulent kinetic energy over the entire compression phase. The combustion computations have been performed with the characteristic time combustion model. With this dissipation correction no additional adjustments of the turbulent characteristic time model constant were necessary in order to match experimental cylinder pressures and heat release rates of the two engines.