Optimal determination of resistance coefficient of heating pipe network based on genetic algorithm

Abstract

The variable resistance of pipe network is a key problem in the heating field. In order to get the variable resistance coefficient of pipe network more accurately in the heating process, this paper proposed an optimization identification method of variable resistance coefficient of heating pipe network based on genetic algorithm. Firstly, considering that the pressure data in the heating network is difficult to measure, this paper established a mathematical model for optimizing the identification of variable resistance coefficient at each end of the heating network under the condition of only flow observation data; Secondly, genetic algorithm was used to solve it. Finally, the model and algorithm were applied to practical engineering for verification. The relative error of identification results was less than 5%, and the algorithm had good stability and convergence. The results showed that this method could obtain the variable resistance coefficient of heating network with high accuracy when only the flow observation data was available, which could provide guidance for the operation adjustment of heating system.