Multi-dimensional collaborative optimization of ventilatorsbased on B-spline curves

Ventilators play a critical role in HVAC systems, primarily used for air supply, make-up, and ventilation. The current research on ventilators for buildings still faces complex models and difficult calculations. In this paper, a multi-dimensional collaborative optimization design method is proposed to optimize the aerodynamic performance of ventilators. In the process of optimization design, the B-spline curve is used to parameterize the blade surface shape, and the multi-objective optimization is carried out on the built automated platform through the flow field dimensionality reduction treatment to screen the efficient refinement interval, and then the optimal Latin hypercube sampling (OLHS) is implemented in this interval. The sample-based computational fluid dynamics (CFD) simulation results show that the optimal solutions of ventilator pressure and impeller torque are 742.44 Pa and 174.12 N, respectively, which reduces the impeller torque by 16.33% and increases the ventilator efficiency by 19.60% while keeping the ventilator pressure unchanged compared with the original scheme. This method significantly reduces the cost of optimization and facilitates the performance evaluation of the ventilators.