Coke Oven Heating For Energy Efficiency Goals Of The Combustion Process Optimization Control Method Study

The combustion heating process of coke oven is a very complex industrial process. The features of multi-variable, nonlinearity, large-time delay, complex operative-modes are the major control challenges in the combustion heating process of coke oven. Therefore, how to optimize the process of coke oven heating control and reduce the energy consumption of coking process and determine the proper gas flowing and air flowing rate to make the coke oven burning in the optimal status is the most critical problem for the optimal control of the combustion heating process.On the basis of the original feedback control structure, a feedforward heat output model is added and the feedforward-feedback control method is adopted. Providing the calories mechanism of coke making is analyzed and a simplified model for heat output model is presented by considering the influences of the coke oven operation, coal and coke oven gas properties and the process variables, such as various measurable disturbances on the coke oven heating-combustion process. At the same time by analyzing the real-time operation in combustion process, according to the difference between the measured value of temperature and the initial setting value, the gas flow is calculated by means of fuzzy PID controller. At last the optimization setting value of gas flow is designed for different conditions.The fact that flue gas oxygen content can not be detected real-time on-line and less actual sample data points can be achieved in coking plant, a prediction model is established in this thesis by the method of combinating support vector machines. Firstly, a heuristic searching algorithm is presented, which is valuable for getting the support vector machines submodels based on RBF and polynomial kernel functions. Then the combination model is integrated by the submodels according to the principle of fuzzy combination. In this paper, optimal combustion of coke oven heating control system is implemented with VC++ as its development tool and with OPC as its communication method on the platform of WinCC. The results of simulation express that the algorithm is high-performance. The control system can reduce fluctuate of the flue temperature and ensure the optimal combustion in the coke oven. Meanwhile, it also improves the coke oven thermal management level and provides an efficient method for energy saving for thermal engineering of coke oven.