G3. Big Green

By: Joe Robison, Alliance to Save Energy, and Deepika Arora Sadahiro, Willow

The U.S. federal government operates more than 350,000 buildings and spends over $6 billion annually on energy. Many, especially federally supported housing, rely on outdated systems that drive up costs and limit performance. As affordability and reliability take center stage, smarter, low-cost control technologies offer a clear path forward.

Smarter building controls—like smart thermostats, sensors, and automated HVAC systems—optimize energy use by responding to real-time conditions instead of fixed schedules. The result: lower energy use, reduced utility bills, and improved comfort for residents—without major infrastructure upgrades.

Low-Cost Upgrades, Immediate Impact

Unlike large-scale retrofits, smart controls are low-cost and quick to deploy. Smart thermostats alone can reduce HVAC energy use by 10–15%, with even greater savings depending on building conditions.

For federally supported housing, these savings directly improve affordability. Residents benefit from lower bills, while property managers see reduced operating costs and better system performance.

Federal Sites Are Already Seeing Savings

Across federal facilities, pairing efficiency upgrades with smart controls has delivered 20–40% energy savings, often with strong payback periods, especially when paired with performance-based financing like Energy Savings Performance Contracts (ESPCs) and Utility Energy Service Contracts (UESCs).

These models allow agencies to deploy upgrades without upfront appropriations, using guaranteed savings to cover costs over time, creating a scalable pathway for federal housing providers.

Smart Controls Are Also Improving Air Quality in Commercial Buildings

The value of smart, responsive controls extends beyond thermostats. Real-world applications show how data-driven systems can improve both efficiency and occupant well-being.

Willow recently highlighted how demand-controlled ventilation (DCV) systems use occupancy data, CO₂ sensors, and HVAC controls to adjust airflow in real time in high-traffic buildings like airports, hospitals, campuses, and stadiums. Instead of fixed schedules, these systems increase ventilation when spaces are full and scale back when they are not.

This approach delivers multiple benefits:

• Improved indoor air quality
• Lower energy consumption
• Reduced equipment strain and longer system lifespans
• Operational cost savings without compromising comfort

A Scalable Path Forward

As energy demand grows and grid constraints tighten, cost-effective solutions are more important than ever. Smarter building controls offer a practical way to reduce demand, improve performance, and support grid reliability.

For policymakers, the opportunity is clear:

• Expand access to smart control technologies in federally supported housing
• Leverage existing financing mechanisms to scale deployment
• Integrate efficiency upgrades into broader affordability strategies

Efficiency remains the nation’s “first fuel” and one of the fastest, lowest-cost tools available today.

Delivering Affordability, Reliability, and Performance

Modernizing federal housing with smarter controls isn’t just about energy savings—it’s about delivering lower bills, better comfort, and more resilient buildings.

As real-world examples show, smarter, data-driven controls are already transforming building operations. Scaling these solutions across federal housing can unlock immediate savings while strengthening the energy system for the future.

Resources

• U.S. Department of Energy, Simulation-Driven Smart Thermostat Benchmarking
• ASHRAE Journal, Analysis of Indoor Environmental Conditions and Electricity Savings Using a Smart Thermostat
• Lawrence Berkeley National Laboratory (LBNL), Benefits of Smart Ventilation
• LBNL, Evaluating GHG Mitigation Potential from ESPC Projects
• DOE, Energy Savings Potential and RD&D Opportunities for Commercial HVAC Systems
• Willow, Improving Air Quality and Conserving Energy with Demand-Controlled Ventilation