Buro Happold develops parametric façade design tool

The tool combines data science, machine learning and game engine visualisation to offer design guidance from RIBA Stage 2 onwards. It evaluates nearly three million façade configurations using parameters such as glazing type (U-value), window-to-wall ratio, openable area, shading strategies, G-value, thermal bridging and air permeability. These are processed through Buro Happold’s proprietary BHoM (Buildings and Habitats Object Model) software and visualised in a game engine environment, allowing design teams to toggle between daylighting, overheating and energy scenarios in real time.

Buro Happold then applies machine learning to the dataset to offer an infinite number of façade options in seconds.

Ben Richardson, director of sustainability and physics at Buro Happold, said: “We’ve modelled more than 3 million different residential buildings – that’s roughly the size of London. This means we can initially bypass the need for modelling, and instead use our database to instantly provide architects and clients with data-backed, visual guidance on what will work for their specific design goals.

“The tool is fully compliant with Greater London Authority requirements and integrates official SAP engines, IES, and CIBSE TM59 methodologies. This ensures that outputs are not only technically robust but also suitable for inclusion in formal energy statements.”

The tool is being trialled on UK residential projects, and has the potential to be adapted for other building types, including commercial and mixed-use developments