OpenNLC will deliver four focused pilot case studies in California buildings, funded in part by CalNEXT. These pilots will test real-time HVAC + NLC (or standalone occupancy sensor) integration with smart thermostats in constant volume systems.
- Quantified HVAC energy savings of 10-30%
- Demonstrated compatibility with existing thermostats and NLC systems
- Validation of free software licensing for integrators and contractors
- Insights on scalability, ease of deployment, and utility rebate eligibility
- These pilots will provide detailed before-and-after data, methodologies, and lessons learned to guide widespread adoption. Stay updated via our newsletter for release announcements and full reports in mid-2027.
This study evaluated AI-based micro-zone controls in commercial buildings, achieving over 36% HVAC energy savings in field demonstrations with constant volume systems. It highlighted benefits like 39.5% to 52.7% peak demand reduction and improved indoor air quality. OpenNLC builds on these findings for broader applications. [Link to full report.]
At California State University, Northridge, KenergyAI software integrated with existing BACnet sensors reduced total building electricity by 15.1% and natural gas by 35.6%, yielding $0.70 per square foot in annual savings across 10,000 sqft. The controlled areas saw over 30% savings, with a 3-month payback period. This demonstrates real-world HVAC NLC integration for energy savings.
This ongoing project at UoM Dearborn explores similar integrations for KenergyAI, focusing on measurement and verification of energy reductions in educational facilities. Results expected to validate up to 35% HVAC savings.
