Assessing industrial thermal systems can be difficult from utility bills or annual energy data alone. Complex systems such as hot water plants, steam systems, dryers and central HVAC need a clearer view of real operating conditions.

This webinar shows how energy analysis and calibrated digital models can help engineers identify inefficiencies, test energy-saving measures and assess decarbonization options before implementation. Using a real malt drying case study, our speaker Fernando Dutra Del Castillo will explain how operational data, weather, thermal generation, distribution, and process demand can inform better engineering decisions.

What You'll Learn

• Why annual energy consumption alone cannot explain thermal system performance.
• What data teams need to establish a reliable performance baseline.
• How calibrated digital models support retrofit and decarbonization decisions.
• How operational improvements can lower energy costs and Scope 1 emissions.
• Where heat pumps can support industrial process decarbonization.
• Key considerations when integrating heat pumps into process heat systems.