Francesco D’Ettorre
Consultant in refrigeration and heat pump technologies at the Danish Technological Institute.
Discover how smart control can transform a supermarket's refrigeration system into a smart, flexible asset, and cut energy costs.
This work presents an optimal control strategy that transforms CO2 booster refrigeration systems into flexible energy assets through intelligent heat recovery. Using Reinforcement Learning, our algorithm learns to adjust operations based on real-time electricity prices. The case study demonstrates 16% cost savings through smart thermal storage control, while simultaneously helping stabilize the grid and supporting renewable energy integration - proving supermarkets can cut costs and strengthen energy systems.
About the speaker:
Francesco D'Ettorre is a consultant in refrigeration and heat pump technologies at the Danish Technological Institute. With a PhD from the University of Pisa and postdoctoral experience at DTU, he has extensive experience in research and development projects where he focuses on smart control strategies that cut costs, improve energy performance, and support grid balancing and renewable energy integration.
Track: Symposium