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June 17, 2025

Maximize Thermostat Setbacks Savings in Light Commercial Buildings

This is part 3 of our Thermostat Setback series. Previously we highlighted HVAC setbacks as a means of reducing energy consumption, validated by research highlighting the use of setbacks across a wide range of buildings and industries. Numerous research studies, including those conducted by the U.S. Department of Energy (DOE), have demonstrated that adjusting temperature setpoints during unoccupied periods reduces heating and cooling expenditures. However, despite this well-established potential, the simple and consistent implementation of setback strategies in light commercial buildings often presents challenges for building owners and facility managers.

This blog examines the common obstacles that hinder the widespread adoption of thermostat setbacks in light commercial buildings and explores how the integration of emerging technologies and modern thermostats can mitigate these challenges, enabling a more streamlined and optimized approach to energy savings.

Challenges to Effective Setback Implementation

Several practical and operational difficulties lead to thermostat setbacks not being used in light commercial buildings:

Conventional Thermostats: A significant portion of existing light commercial buildings rely on traditional programmable thermostats. These devices frequently offer limited and restrictive scheduling capabilities, which often makes configuration and adjustments cumbersome and time-intensive. This leads to simplified, less effective schedules or to abandoning setback programming.

Occupant Comfort and Variable Schedules: Light commercial spaces, especially some industries like retail, houses of worship, and restaurants, have variable occupancy patterns. Irregular operating hours, weekend events, or after-hours work can conflict with rigidly programmed setbacks, leading to occupant discomfort. In response, facility managers or occupants may manually override or disable setbacks to address immediate comfort needs without detection by management, inadvertently sacrificing long-term energy savings.

Scalability and Security: Unlike residential applications with one or two thermostats, light commercial buildings may involve multiple zones and HVAC units, requiring a more robust and scalable solution. Consumer-grade Wi-Fi thermostats often lack the capacity for seamless integration and centralized management of numerous devices across a commercial facility. This requires managing each thermostat individually, a time-consuming and inefficient process for a portfolio of devices. Furthermore, integrating these devices with existing building networks can raise cybersecurity vulnerabilities, networking challenges, and additional costs.

Synchronization and Granular Control: Effective setback strategies in multi-thermostat buildings require synchronization of thermostat schedules across the entire building or portfolio of buildings. Without this coordination, zones may operate inefficiently, leading to wasted energy as systems inadvertently work against each other. Variations in occupancy patterns and usage may also require granular thermostat setback control, which is often difficult to achieve with basic time-based programming.

Dynamic Environmental Conditions: HVAC systems in commercial buildings must respond to fluctuating external conditions. Inadequate consideration of factors such as rapid weather changes or extreme temperatures by static setback scheduling can compromise the system’s ability to effectively recover to occupied setpoints before occupants arrive. This can lead to occupant discomfort and a reluctance to employ aggressive setback strategies.

Lack of Visibility and Accountability: A significant challenge is the absence of real-time monitoring, reporting, and alerting systems for traditional thermostats. Facility managers often lack the tools to track when setbacks are overridden, disabled, or improperly configured. This lack of visibility obscures the impact of these changes on occupant comfort and energy consumption, hindering data-driven efforts to optimize and enforce setback policies.

Technology-Driven Solutions for Optimized Setbacks

Advancements in building technology offer innovative solutions to address these challenges and unlock the full potential of thermostat setbacks for any building:

Enhanced Data Acquisition with Low-Cost Wireless Sensors

The increasing availability of cost-effective easily deployable wireless sensor networks enables facility managers to gather detailed data on building conditions and HVAC performance without extensive wiring or disruptive installations.

  • Temperature and Humidity Sensors: Strategically deployed sensors provide precise, zone-level temperature and humidity readings, allowing for accurate and responsive setback implementation. This data ensures that spaces are effectively pre-conditioned before occupancy, minimizing the risk of discomfort.
  • Occupancy Sensors: Offer real-time insights into space utilization to provide a more accurate picture of when spaces are truly occupied. This enables dynamic adjustments to setback schedules increasing occupant comfort when spaces are occupied when setback schedules would normally modify the thermostat settings. This enables dynamic adjustments to setback schedules, which can increase occupant comfort when spaces are unexpectedly occupied during scheduled setback periods. Furthermore, these sensors help identify if a location’s static setback schedule is incompatible with typical occupancy, aiding in the simultaneous optimization of energy savings and occupant comfort.
  • HVAC Performance Monitoring: Sensors can track key HVAC system parameters, such as return and plenum temperature, fan speeds, mode, runtime, and energy consumption. This data allows for the verification of setback effectiveness, the detection of system inefficiencies, and the optimization of recovery strategies.

Scalable and Secure Connected Thermostats

A new generation of connected thermostat systems is emerging, specifically designed to meet the demands of light commercial buildings. These systems offer:

  • Robust and secure network connectivity: Often utilizing LoRaWAN wireless, for long range and strong signal propagation through walls and floors, and built-in LTE connections. These methods directly address cybersecurity concerns, reduce reliance on potentially insecure building Wi-Fi, and ensure consistent connectivity.
  • Centralized management interfaces: Which significantly simplify the configuration, scheduling, and real-time monitoring of numerous thermostats across multiple zones, streamlining operations for an entire building portfolio.
  • Seamless integration with other building systems: Including occupancy and indoor air quality (IAQ) sensors. This enables intelligent coordination, such as adjusting ventilation based on CO2 or humidity levels detected by IAQ sensors, for a more holistic approach to building comfort and energy management, while still optimizing for setbacks.

Artificial Intelligence and Machine Learning for Dynamic Optimization

The data generated by these building systems from temperature and occupancy sensors to HVAC performance metrics provide the foundation for integrating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into building management. These technologies enable building systems to move beyond static, scheduled setbacks to dynamic schedules and optimized energy reduction.

  • AI-powered systems learn your building: Based on historical data, real-time sensor data, and occupant behavior. This allows the systems to predict optimal HVAC operating parameters unlike traditional systems that rely on fixed operating schedules. AI enabled systems can proactively modify setback schedules and dynamically adjust HVAC settings in real time. This ensures spaces are comfortably conditioned when needed while maximizing energy efficiency.
  • Machine Learning algorithms can identify complex patterns: These patterns would be difficult or time consuming for human building managers. This enables automated continuous refinement of setback strategies. By analyzing the effectiveness of past adjustments the systems can adapt to changes in building usage. This iterative process maximizes both energy savings and occupant comfort over the long term, reducing the need for manual oversight while actively flagging important issues for building managers.

Conclusion

The adoption of thermostat setbacks in commercial buildings has been hindered by both technological limitations and operational challenges. The latest advancements in sensors, connectivity, and artificial intelligence offer compelling solutions for using setbacks to achieve significant energy savings. These new technologies allow building owners and facility managers to transition from static thermostats to dynamic data-driven setbacks without additional wiring or disruptive installations. This shift achieves substantial energy savings and ensures consistent occupant comfort while streamlining building and portfolio management. The evolution of AI and connected building systems enables greater levels of building automation and efficiency, positioning thermostat setbacks as the basis temperature controls for commercial buildings.

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