From IFC to design decisions: Romana's deep dive into Deep Model Processing
Most decisions that shape a building's energy demand, summer comfort and carbon footprint are made in early planning. Yet that is exactly when simulation rarely happens, because building a simulation model by hand takes too long.
In this three-part series, our CTO and Co-Founder Romana shows how vyzn closes that gap: from the digital building model to a design decision the whole team can stand behind.
Part 1: From BIM to simulation-ready BEM
Building energy models are usually rebuilt by hand for every simulation, so early-stage teams often skip simulation or run it too late. vyzn turns the digital building model into a simulation-ready Building Energy Model (BEM) automatically. The model the team already has becomes the model it can simulate.
Part 2: Understanding a Building Model through Geometry & Topology
A simulation is only as good as the model behind it. Deep Model Processing (DMP) reads the IFC model's geometry and topology, keeps what matters for simulation and processes the rest automatically. The result is a model that can be simulated as it is, without manual cleanup.
Part 3: The Benefits of Deep Model Processing (DMP)
With the model ready, variants can be simulated in minutes, early in planning. Change the construction or the window area, and the effect on energy demand and summer comfort shows up straight away, next to cost and CO₂.
Every variant is scored on the same criteria. That makes it clear why one option beats another, and the decision can be defended to the client while it is still cheap to change.
See it on your project
Want to see what this looks like for one of your projects? Get in touch and we'll walk you through it.