Learn how InferTrust™ AEC creates verifiable records for AI-assisted energy modeling, LEED certification analysis, and ASHRAE 90.1 compliance verification.
Energy performance analysis and sustainability certification involve complex modeling, code compliance verification, and documentation requirements. As AI tools increasingly assist with energy simulations, LEED credit analysis, and code compliance checks, the integrity of those analyses must be provable to code officials, certification bodies, and building owners. InferTrust™ (Patent Pending) AEC creates cryptographically sealed records for every AI-assisted energy and sustainability decision.
AI-assisted energy modeling evaluates building envelope performance, HVAC system efficiency, lighting power density, and renewable energy contributions. For each energy simulation event, InferTrust™ AEC captures and seals the simulation engine version and configuration, the climate data file used (TMY3, AMY, or future weather data) with its cryptographic hash, the building geometry and envelope parameters as modeled, HVAC system specifications and efficiency ratings, internal load assumptions (occupancy schedules, plug loads, lighting), and the resulting energy use intensity (EUI) and performance metrics. By fingerprinting the simulation parameters, InferTrust™ AEC ensures that any later question about what assumptions drove the energy model can be answered with cryptographic proof.
LEED certification requires extensive documentation demonstrating that design decisions meet specific credit requirements. When AI assists in evaluating LEED credits (optimizing energy performance under EA Credit, evaluating daylight and views under EQ Credit, analyzing water efficiency under WE Credit), InferTrust™ AEC creates sealed records of each evaluation. This documentation supports the LEED review process by providing verifiable evidence that the AI analysis was performed with specific parameters and produced specific results, reducing the risk of credit challenges during certification review.
ASHRAE 90.1 compliance can be demonstrated through prescriptive, trade-off, or performance-based paths. AI tools that assist in evaluating compliance against ASHRAE 90.1 prescriptive requirements or that run performance-based compliance simulations produce results that must be traceable. InferTrust™ AEC seals each compliance check with the specific ASHRAE 90.1 edition (2019, 2022), the compliance path used, the climate zone, and the pass/fail determination for each evaluated system. This creates a verifiable compliance record that supports the mechanical engineer's certification.
California's Title 24 and other state-specific energy codes have requirements that differ from or exceed ASHRAE 90.1. InferTrust™ AEC handles multi-code energy compliance by creating separate sealed records for each applicable code, with the specific edition and local amendments hashed into the record. For projects in jurisdictions with stretch codes or zero-net-energy requirements, the AI analysis records document compliance against each additional layer of energy regulation, providing a complete and verifiable energy code compliance chain.