| Incineration is one of the accepted and effective technologies for the treatment of Municipal Solid Waste (MSW) , one of the restrictive conditions for its application is the heat value of MSW. Getting accurate heat value of MSW in time is not only important to provide fundamental data for disposal decision making by administration and governments, but also beneficial to improve municipal solid waste combustion status in the incinerator for the manager of incineration plant.The paper firstly introduced common methods to evaluate the heat value of MSW: laboratorial determination technology by using standard equipments and forecast by using mathematical equation. Then, with the experimental data points of Shenzhen city, the paper analyzed respective correlation between six kind of influences factors (physical composition and moisture content) and Low Heat Value(LHV) ,and also established linear and non-linear mathematical model both of which were used to evaluate the heat value of MSW. At last, the paper comparatively studied linear and non-linear mathematical model from the accuracy and reliability of their forecast result. Mathematical equation based on physical composition has the advantage of low cost, high efficiency and low specification request compared to proximate or ultimate analysis. The paper analyzed six kind of influences factors important degree and established linear function with multiple regression analysis. The paper established artificial neural network model with MATLAB neural network toolbox, designed the network architecture and the training parameter, and analyzed the network simulation result.It manifested that, based on physical composition and moisture content heat value computational method is feasible, the non-linear model computation effect is better than the linear model. The neural network is available to establish non-linear model, may be supposed to use in the LHV of MSW simulation, can realized the ideal effect of fast and accurate computation.
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