A general mathematical model of CFBC boiler by taking the 50 MWe Tsinghua CFBC boiler as the object is established. The model has some distinguished feature.Firstly,in order to describe the CFBC precisely, emphasis is...A general mathematical model of CFBC boiler by taking the 50 MWe Tsinghua CFBC boiler as the object is established. The model has some distinguished feature.Firstly,in order to describe the CFBC precisely, emphasis is paid to tak t the broad size distribution of feeding coal and bed inventory into consideration. Secondly, the employingiof cell model makes it possible to show the distribution of any interested variable inside furnace.Thirdly ,since partial aspects such as hydrodynamics,devolatilisation of coal, combustion of char and the formation and reduction of harmful substances are considered in detail, therefore the emission at the outlet of the furnace can be estimated. By using the model, simulation is carried out to predict the performance of the 50 MWe Tsinghua CFBC boiler for both design and off-design operation. The results are useful for designers and possible improvement of desian.展开更多
A Bayesian-Gaussian Neural Network (BGNN) is put forward in this paper to predict the static and transient performance of Circulating Fluidized Bed (CFB) boilers. The advantages of this network over Back-Propagation N...A Bayesian-Gaussian Neural Network (BGNN) is put forward in this paper to predict the static and transient performance of Circulating Fluidized Bed (CFB) boilers. The advantages of this network over Back-Propagation Neural Networks (BPNNs), easier determination of topology, simpler and time saving in training process as well as selforganizing ability, make this network more practical in on-line performance prediction for complicated processes. Simulation shows that this network is comparable to the BPNNs in predicting the performance of CFB boilers. Good and practical on-line performance predictions are essential for operation guide and model predictive control of CFB boiIers, which are under research by the authors.展开更多
文摘A general mathematical model of CFBC boiler by taking the 50 MWe Tsinghua CFBC boiler as the object is established. The model has some distinguished feature.Firstly,in order to describe the CFBC precisely, emphasis is paid to tak t the broad size distribution of feeding coal and bed inventory into consideration. Secondly, the employingiof cell model makes it possible to show the distribution of any interested variable inside furnace.Thirdly ,since partial aspects such as hydrodynamics,devolatilisation of coal, combustion of char and the formation and reduction of harmful substances are considered in detail, therefore the emission at the outlet of the furnace can be estimated. By using the model, simulation is carried out to predict the performance of the 50 MWe Tsinghua CFBC boiler for both design and off-design operation. The results are useful for designers and possible improvement of desian.
文摘A Bayesian-Gaussian Neural Network (BGNN) is put forward in this paper to predict the static and transient performance of Circulating Fluidized Bed (CFB) boilers. The advantages of this network over Back-Propagation Neural Networks (BPNNs), easier determination of topology, simpler and time saving in training process as well as selforganizing ability, make this network more practical in on-line performance prediction for complicated processes. Simulation shows that this network is comparable to the BPNNs in predicting the performance of CFB boilers. Good and practical on-line performance predictions are essential for operation guide and model predictive control of CFB boiIers, which are under research by the authors.
