Modern refrigeration systems generate abundant data, but the real challenge is turning that information into coordinated operational decisions and, where authorised, automatic action.

This session explores how a refrigeration-native intelligence layer can work on top of existing control infrastructure to continuously monitor, understand and optimise complex industrial cooling systems while keeping human expertise in control.

Through six operational strategies, the session shows how refrigeration decisions can be coordinated around equipment performance, product temperature, production requirements, renewable generation and energy prices. A thermodynamic model and AI continuously evaluate these variables, resolve competing priorities and determine the most appropri ...