Living Building Challenge AI
AI for achieving Living Building Challenge certification for regenerative buildings.
Definition
Living Building Challenge AI uses artificial intelligence to help projects achieve this rigorous regenerative building certification. These systems track performance across petals including place, water, energy, health and happiness, materials, equity, and beauty. AI helps projects navigate the material Red List and net positive energy and water requirements.
In Depth
The Living Building Challenge (LBC) is the most ambitious green building certification, requiring net-positive energy, net-positive water, healthy materials, and equitable operations. AI assists with the complex performance modeling and material vetting required to achieve LBC certification.
The net-positive energy requirement means the building must generate more energy than it consumes on an annual basis — using on-site renewable energy, not purchased offsets. AI models the building's energy consumption against its solar generation potential, optimizing the building form, envelope, and systems to achieve net-positive performance. This analysis is far more stringent than LEED energy modeling because the building cannot rely on grid electricity.
Examples
Tracking LBC petal requirements
Screening materials against the Red List
Documenting net positive performance
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Living Building Challenge AI uses artificial intelligence to help projects achieve this rigorous regenerative building certification. These systems track performance across petals including place, water, energy, health and happiness, materials, equity, and beauty. AI helps projects navigate the material Red List and net positive energy and water requirements.
Tracking LBC petal requirements. Screening materials against the Red List. Documenting net positive performance.
Project Research: Instantly access all project-critical information from a single search interface.