Many new combustion concepts are currently being investigated to further improve engines in terms of both efficiency and emissions. Examples include homogeneous charge compression ignition (HCCI), lean stratified premixed combustion, stratified charge compression ignition (SCCI), and high levels of exhaust gas recirculation (EGR) in diesel engines, known as low temperature combustion (LTC). Typical combustion temperatures in all of these combustion concepts have in common that the temperatures are lower than in traditional spark ignition or diesel engines. To further improve and develop combustion concepts for clean and highly efficient engines, it is necessary to develop new computational tools that can be used to describe and optimize processes in non-standard conditions, such as low temperature combustion. Thus, in the presented study a recently developed model (RILEM: Representative Interactive Linear Eddy Model) for modeling non-premixed combustion, regime-independently, was used to simulate the so called ‘Spray B’, a heavy-duty optical engine experiment that was performed within the Engine Combustion Network (ECN) . The RILEM directly resolves the influence of the mixing on the chemistry, or ‘turbulence-chemistry interactions’, through stochastic sequences of statically independent eddy events. The RILEM consists of a linear eddy model (LEM ) that is coupled to an unsteady Reynolds-averaged Navier-Stokes solver within the OpenFOAM framework. Cylinder pressure, heat release rates and ignition delay time from the computation are compared to experiments under parametric variation of temperatures at different oxygen contents.