Author/Authors :
-، - نويسنده Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box 11365-9654 Tehran, I.R. IRAN Abedini, Hossein , -، - نويسنده Department of Chemical and Petroleum Engineering, Sharif University of Technology, P.O. Box 11365-9654 Tehran, I.R. IRAN Pishvaie, Mahmoud Reza , -، - نويسنده Department of Chemical and Petroleum Engineering, Sharif University of Technology,
P.O. Box 11365-9654 Tehran, I.R. IRAN Bozorgmehry Boozarjomehry, Ramin
Abstract :
For large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. Mechanism simplification is often a necessity to improve computational speed. We present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic algorithm (GA).The aim of simplification kinetics modeling is to derive the simplest reaction system, which retains the essential features of the full system. Numerical results for H2/O2 combustion reaction mechanism illustrate the potential and proficiency of this approach.
