Prediction model of municipal solid waste (MSW) thermal conversion process can be applied for study of experimental as well as design and operation of heat treatment device.At present

the prediction models can be classified as kinetic model

thermodynamic equilibrium model

multiple regression model and neural network model.The study on prediction models mainly focuses on predicting MSW thermal conversion characteristics

heat value of products

pollutant emissions

ash melting point and so on.The kinetic model is appropriate for narrow temperature interval and segment models should be established for wide interval.The thermodynamic equilibrium model is restricted to few reactions comprising specific mechanism.For some complex systems

the reaction mechanism should be further investigated generally. The function type should be also confirmed in the multiple regression model.The nondeterminacy and nonlinearity of MSW thermal conversion process makes the nonlinear neural network prediction model become main development tendency of model study for its predominant self-adaption and self-learning.