Ventilation Strategies in Seconds Using AI

Description

SimScale has developed a fully cloud-native, AI-based physics prediction feature using the leading AI for accelerated engineering developer, NAVASTO. The new features enable engineers to design in real time using side-by-side physics and AI-generated results.

Building designers and engineers now have access to the full range of CFD outputs including ventilation flow rates, room temperatures, and pressure coefficients needed to evaluate HVAC and ventilation strategies using AI.

In this webinar, we will show attendees how CFD simulations were used to train an AI model to predict ventilation rates. We also show how AI is used to quickly evaluate changing conditions and varying designs, in seconds. This extends to the parameters of each of the following:

• Building — layout, orientation, geometry, terrain, environmental conditions.

• Room — dimensions, surface pressure coefficients, placement of openings, internal loads, partitions, ceiling height, etc.

• Opening — opening dimensions, opening area, and initial conditions at the opening.

Presenter: Richard Szoeke-Schuller, Product Manager at SimScale; Darren Lynch, Senior Application Engineer at SimScale.