Energy Efficiency Optimization Design of a Forward-Swept Axial Flow Fan for Heat Pump

Abstract

As one of the key components of the heat pump system, compared to that of a conventional axial fan, the blade tip area of a forward-swept axial fan is much larger than its blade root, which is the main noise source of the fan and also has an important influence on the fan efficiency. Enhancement of the aerodynamic performance and efficiency of a forward-swept axial fan was addressed by utilizing the Bezier function to parameterize the forward-swept curve on blade tops. In order to quickly select an agent model suitable for the project, an ES model was established by integration of the radial basis function model and the Kriging model. When NSGA-II was combined, multi-objective optimization was carried out with the flow rate and total pressure efficiency as optimization goals. Analysis of optimization results revealed that the optimized axial flow fan’s flow rate and total pressure efficiency were improved to some degree. At the design working point, the fan’s flow rate increased by 1.78 m³/min, while the total pressure efficiency increased by 3.0%. These results lay solid foundation for energy saving of the heat pump system.

The multi-objective optimisation design of outlet guide vanes of diagonal flow fan based on sobol sensitivity analysis

“…Their findings indicate that increased spacing between rotor and stator reduces interaction intensity, resulting in decreased pressure pulsation.Cumpsty et al 12 numerically and experimentally examined diagonal flow fan tip clearance, revealing tip leakage vortex and subsequent eddy breakdown causing core disappearance. Zeng et al 13 employed reverse neural networks and genetic algorithms to enhance fan efficiency under diverse conditions.Yang et al 14 combined RBF and kriging models for axial fan optimization with NSGA-II, improving both flow rate and noise objectives. Zhou et al 15 utilized kriging agent models and NSGA-II to optimize axial fans, validated by experiments.…”

Intelligent Simulation and Optimization of Axial Flow Fan Based on CFD

“…In reference 13, the Bezier function is used to parameterize the forward sweep curve at the top of the blade, which improves the aerodynamic performance and efficiency of the forward swept axial flow fan. The analysis of optimization results shows that the flow rate and total pressure efficiency of the optimized axial flow fan are improved to different degrees [13]. Literature 14 presents a multidisciplinary optimization design method for fan rotor performance using free form deformation (FFD) and data mining techniques.The results show that the axial velocity of the optimal blade increases significantly between 0.4 and 0.8 [14].…”