Decarbonizing Heat Processes with Controls and Data

Heating and drying processes are among the largest energy consumers in manufacturing — and the toughest to decarbonize. Automation and advanced control strategies offer a direct path to reducing both emissions and operating costs.

Why Heat Is Hard to Decarbonize

• Combustion-based systems rely on fossil fuels with low controllability.
• Thermal inertia makes fast response difficult.
• Instrumentation is often outdated or isolated from digital control systems.

Step 1: Measure Before You Modify

Install energy meters, flow sensors, and thermocouples integrated into the PLC or DCS. Collect time-series data for every heating zone to identify inefficiencies such as overfiring or cycling losses.

Step 2: Optimize with Controls

• Use model predictive control (MPC) for multi-zone ovens or kilns.
• Integrate variable fuel/air ratio control with feedback loops.
• Deploy heat recovery monitoring to verify exchanger performance.

Step 3: Electrification and Hybrid Systems

Electric heating elements and heat pumps can replace gas burners in low-to-medium temperature ranges. For high-temperature applications, hybrid systems (gas + electric preheat) allow gradual decarbonization.

Case Example: Food Processing Oven

By adding temperature profiling and air modulation controls, a bakery reduced gas consumption by 18% and achieved 12% CO₂ reduction without changing equipment.

Related Articles

• Cutting Energy Use with Automation: The 90-Day Plan
• From OEE to OGE: Tracking the Energy Side of Efficiency
• Sustainability Dashboards That Engineers Actually Use

Conclusion

Decarbonizing heat is an automation challenge, not just a fuel switch. Closed-loop control, predictive optimization, and accurate data unlock double-digit energy reductions — proving that sustainability is achievable with today’s technology.