IDENTIFYING CHEMICAL REACTION NETWORK MODELS

This paper demonstrates the identification of underlying nonlinear ordinary differential equation (ODE) models that represent chemical reaction networks. The proposed method uses species' concentration and rate of heat evolution data which can be obtained from a reaction calorimeter. The identification procedure is demonstrated for a simulated Van de Vusse reaction system. It is shown that accurate estimates of the network rate constants and individual heats of reactions may also be generated.