Coal boilers are widely used to generate process steam. Because of the highly nonlinear dynamics, coal boilers have not attracted the attention of many researchers. In the present study, two modeling approaches were investigated: parametric efficiency modeling and neural network modeling. Results of simulations compared with operation data demonstrate the effectiveness of the proposed modeling approaches.