||Flare research over the past decade has increasingly illustrated that there is likely no one simple operational parameter (or even a few parameters) that will characterize the combustion behavior of flare flames.i Simple correlations are unobtainable because of the complexity of the nonlinear mixing, reaction, and heat transfer present in operating flare flames. This complexity motivates the need to accurately measure combustion efficiency from operating flares so that the effect of different designs and operations can be quantified. However, this same complexity, makes such measurements difficult. To date there is no technology that has been been validated at providing quantitative combustion efficiency measurements from operating, open-air, flare flames. While it is difficult to directly measure combustion efficiency due to the heterogeneity in composition and velocity, high performance computing (HPC) can be coupled with diagnostic measurement methods to provide real-time continuous flare efficiency monitoring. Modern computational simulation science methods allow the use of tens of thousands of computer cores (processors) to work together on a single application to produce unprecedented simulation resolution. For example, historically, the largest challenge in flare simulations has been to model the turbulent mixing and reaction process. However, by using current computer cluster technology, the turbulence and reaction process can be computed directly without the need for turbulence models. The purpose of this paper is to describe a technology for obtaining quantitative measurements of combustion efficiency from operating industrial and field flares by bringing together the latest advancements in diagnostic measurements and computer simulation technologies.