Modelling And Control Of Direct Internal Reforming Molten Carbonate Fuel Cell

In the 21^st century, the confidence between the development of world economy and natural resources and environment becomes more and more outstanding. Fuel cell technology, especially molten carbonate fuel cell (MCFC) is an efficient and clean fossil fuel application technology. We can use direct internal reforming (DIR-MCFC) to improve the efficiency of the system and to reduce the complexity and the cost of the system, In recent years, the establishment and application of a lot of experimental DIR-MCFC station improved that this technology is effective. But the cost, stability and life was still troubled the scientists and becomes the obstacle of the commercialization of this technology.We must know the characteristics inside the DIR-MCFC to improve the performance of DIR-MCFC. But DIR-MCFC works in the high temperature(650°C), closed and complex environment, the state inside can not be measured and the cost of experiment is very high, sometimes it is impossible. Currently we can measure and analysis only part of the parameters and variable of the DIR-MCFC. The cost of numerical analysis of MCFC is lower, and it can deepen the understanding of the distribution variable and reaction mechanism of DIR-MCFC. The paper researches the modeling of characteristics inside the DIR-MCFC and the temperature control of the DIR-MCFC. And here is the mean work and content:(1) Based on mass, momentum and energy conservation low and physics and chemical equation, we analysis the characteristics inside the DIR-MCFC. The analysis laid the groundwork of the later section.(2) Under a series of reasonable assumption we use the experimental data to simplify the result of theoretical analysis and create a two dimensional model. Then we use an iteration method to work out the curve of the distribution of temperature and reaction rate. The result of simulation can help the design of the control program and the flow field and the choice of the cell materials. Though the simulation analysis we raised a method to improve the distribution of the temperature inside the cell. The method is to change the distribution of the catalyst.(3) Based on the analysis of characteristic of DIR-MCFC, we use RBF neural network to create a fuel efficiency control model and a temperature control model of the cell. By the contrast of simulation result and examination data we proved the effectiveness of this method.(4)We used dual channel control method to control the RBF neural network model. Control volume of channel one is the velocity of anode gas, charge volume is the fuel efficiency. Control volume of channel two is the velocity of cathode gas, charge volume is the temperature of end of cell channel. Analysis of simulation proved the effectiveness of this simple method.