REDUCTION TECHNIQUES METHODS FOR SIMPLIFYING COMPLEX KINETIC SYSTEMS: A GENERAL REVIEW

摘要

The development of kinetic models to describe the time evolution of chemically reacting systems is a fundamental objective of chemical kinetics. Ideally, the most accurate approach to this problem is to include all possible species and reactions of any importance to predict, within the specified uncertainty, a wide variety of experimental data. The complexity of these detailed models grows with an increase in the number of fuel components. When the detailed kinetic model is to be coupled to transport equations, the computational tasks often become formidable due to the intrinsic presence of a wide range of time and length scales, which result in the well-known stiffness problem. Such difficulties have motivated the development of numerous model order reduction techniques during the past three decades. In this paper, the most used reduction techniques for detailed kinetic models are presented and the advantages and disadvantages of each are explained.