Integrating occupant health, performance, and behavior into sustainable building design
Intelligent Indoor Performance Program
The program advances a human-centric transformation of sustainable buildings by integrating occupant productivity, health, and behavioral performance into green building standards, digital design tools, and operational monitoring systems.
It enhances GSAS by embedding measurable health and productivity indicators. It develops AI-powered decision-support tools to predict indoor environmental performance at the design stage. It operationalizes these principles through real-time IAQ intelligence and analytics.
- Investigating best practices in occupant health, productivity and behavior change in buildings worldwide.
- Identifying key interactions and relationships between occupant health, productivity and behavior change that impact green building guidelines.
Through data collection based on various tools including surveys, observations and recording of key performance parameters to ascertain the;
- Comfort , health and productivity of occupants
- Occupants’ behaviour and sustainability impact
- Building performance based on the key parameters such as energy consumption, cost of heating and cooling, temperatures, humidity
Methodology
Structured equation modeling and Artificial Neural Networks were developed to quantify relationships between environmental parameters and human performance. These predictive models were integrated into a BIM-based decision support platform (ADSPE) for early-stage design intelligence.
Parallel to design-stage modeling, real-time sensing infrastructure was developed through Comlada to monitor up to 20 IAQ parameters including CO2, PM2.5, VOCs, formaldehyde, noise, temperature, and humidity.
Outcomes
The program delivers enhanced GSAS criteria focused on human performance, an AI-powered BIM decision-support platform (ADSPE), and a commercialized real-time IAQ intelligence system (Comlada). Together, they transform green buildings from static certification models into data-driven, performance-optimized environments.
