Simulation And Optimization Of Steam Turbine Network Of Industrial Plants

Steam turbine network is an important part of the industrial device and it belongs to the utilities. Its safe and stable operation guarantees the long-term production of the enterprise. Simulation and optimization of Steam turbine network are of great significance in reducing the energy consumption, decreasing the device operating cost and Improving energy efficiency.Steam turbine network system includes compressor turbine, pump turbine (spare electric pump), let-down station and steam pipe network of different levels. Simulation and optimization of Steam turbine network are researched in this paper. The main contents and innovative points are listed as follows:The steam turbine network system is divided into compressor turbine networks, let-down station and pump turbine (spare electric pump). Each section set a model in turn. The first step, the compressor turbine network is simulated and analyzed with Aspen Plus. During the simulation process, according to the steady characteristics of Aspen Plus and parameters'dynamic changes in actual factory Problem of nolinear doing work due to the change of turbine exhaust steam flow is taken into consideration. The condenser pressure and its influencing factors are investigated and the formula between condenser pressure and turbine exhaust steam flow is deduced. The formula is put into Aspen Plus as the form of FORTRAN statement. Then the dynamic practicability of Aspen Plus is improved and the simulation results can fit the actual more accurately. The second step, the models of let-down station and pump turbine (spare electric pump) are established using mathematical programming. The third step, the hybrid model of steam turbine network with Aspen Plus simulation and mathematical programming is established.Based on the established hybrid model, with extraction steam flow of turbine, inlet steam flow of Pressure Reducer and Attemperator and the combination of turbine pump and electric pump as independent variable, steam turbine network system operation cost as target variables, the steam turbine network is optimized by PSO through the interface toolkit MAP in the condition of meeting the same output power and the requirement of the other pipe networks. The results show that:(1) in order to complement the steam content of pipe network, the turbine extraction steam should be used as much as possible, only when the extraction steam isn't enough, can the high quality steam be directly used through let-down station. (2) the steam consumption of SS level can be reduced by selecting the extraction capacity of every turbine reasonably. After the optimization, the operation cost of turbine network can reduce 2145 RMB/hour and the energy-saving effect is remarkable so the result can be a good guidance for the optimization of steam piping network.