Research on Energy Saving of High Pressure Water Descaling Based on NLPQL Optimization Algorithm

摘要

The method of high pressure water descaling has become the main effective technique for the scaly treatment of hot rolling production line at domestic and abroad up till the present moment, and the use of the speed regulation for variable-frequency pump has obvious energy-saving effects. The AMESim model of high-pressure water descaling system composed of pump accumulator and pipeline valve is presented in the paper. The Co-simulation model of AMESim and Matlab/Simulink is established, and the system parameter optimization algorithm based on NLPQL is proposed under the given working condition. The simulation results show that, under the premise of satisfying descaling pressure and flow and ensuring that the pump operates in an efficient range (no less than 70%), the method can find the optimal speed of the variable-frequency pump and the characteristic parameters of the system piping, thereby reducing the energy consumption of the pump.