To reduce the energy consumption of thermal power units

the domestic electric power industry starts to try single-side operation of auxiliaries of large-scale thermal power units. On the basis of neural network optimization algorithm

the simulation model of large-scale axial fan of thermal power units was established in this paper and the energy consumption was also analyzed. According to the performance curves and related parameters provided by the manufacturer

the mathematical model of static performance of the large-scale axial fan was built up. Combining with the characteristics of the pipeline corresponding to the actual operation of the wind turbine

the adjustment command-air volume relationship model of the fan under adjustable regulating mode of dynamic blades was established. Moreover

the energy consumption analysis model and efficiency analysis model of the fan were also build up by using the actual operation data of the power plant. On the basis of all the above models

the energy consumption characteristics of the unit with single forced draft fan running and double-fan running were analyzed at low load. The results show that

at low load

when the air volume is lower than a certain critical value

the single-blower operation is more efficient and has lower energy consumption.