Predict Your HVAC Noise Before You Build a Prototype
February 10, 2027 at 1:00:00 AM

Time & Location
10 Feb 2026, 8:00 - 9:00 CT
Webinar
About the Event
HVAC Noise Gets Decided Well Before the First Prototype Exists
Airflow itself is nearly always the source of HVAC equipment noise, turbulence around fans, flow separation inside ducts, air interacting with nearby surfaces. By the time a physical prototype comes into being, the design decisions that will define its noise rating are already locked in, and correcting a noise problem at that stage typically means expensive rework. Capturing this type of flow generated noise with any accuracy means resolving the turbulent structures behind it, an averaged flow field won't get you there.
Webinar Scope
This webinar demonstrates how high fidelity, scale resolving CFD simulation can predict flow generated noise early in HVAC product development. Traditional RANS based approaches model turbulence rather than resolve it; scale resolving methods instead capture the unsteady, time transient flow behavior behind tonal and broadband noise, giving engineers a far more accurate read on expected noise performance before physical testing ever starts. You'll see how this applies specifically to fans, ducts, dampers, and other airflow driven HVAC components.
Topics Covered
Why airflow generated noise is fundamentally an unsteady, scale resolving problem
Where traditional RANS simulation falls short for predicting HVAC noise
Scale resolving simulation approaches: capturing turbulence rather than modelling it
How boundary layers, shear layers, and flow separations drive noise generation
Simulating fans, ducts, and other airflow driven HVAC components
Linking simulation results to noise ratings and acoustic metrics
Reducing the number of physical test iterations needed to reach a target noise rating
Computational efficiency: high fidelity results without excessive computing cost
What Simulation Delivers
Early, accurate insight into flow generated noise before a prototype exists
Noise sources predicted more reliably than with traditional RANS based methods
Fewer costly physical test and redesign cycles
Clear insight into which design features drive noise, and to what extent
A faster, more predictable path to a target noise rating
Who Should Attend?
Engineers and product developers designing fans, ducts, or other HVAC airflow components
Acoustic and NVH engineers working on HVAC noise targets
Teams facing late-stage noise surprises during physical testing
Anyone evaluating simulation as a way to reduce physical test dependency for noise performance