Thermal model auditing, review, and performance optimization focus on evaluating the accuracy, reliability, and performance of existing building energy models to ensure they reflect actual design intent and operational conditions. This service involves a systematic review of model inputs such as building geometry, envelope properties, HVAC system parameters, schedules, and simulation settings to identify discrepancies, modelling errors, or performance gaps. The process helps improve model quality, validate compliance with project requirements, and optimize building performance through refined assumptions and updated design strategies. These services support architects, developers, and MEP teams in making confident, data-driven decisions while enhancing the reliability of digital twin models for design validation, regulatory submissions, and operational performance improvement.
A Digital Twin is a dynamic virtual model of a building that integrates design, operational, and environmental data to simulate, monitor, and optimize building performance throughout its lifecycle.
Digital Twin solutions help reduce operational costs through optimized energy performance, predictive maintenance, and efficient system management, leading to lower lifecycle costs and improved return on investment.
Digital Twin models enable continuous monitoring and performance optimization of building systems, improving operational efficiency, extending equipment lifespan, and enhancing the long-term value of the property.