The increasing complexity of commercial refrigeration design—driven by climate variability, store format diversification, and evolving regulatory frameworks—requires a new, data-driven approach to system selection. This presentation introduces an innovative digital tool developed within EptaTechnica to support the definition of optimal refrigeration architectures based on two key variables: climatic conditions and store size.
The tool leverages Epta’s extensive engineering expertise and analytical capabilities to guide customers through a structured decision-making process. By combining environmental data with store-specific requirements, it identifies the most suitable system configurations, technologies, and operating strategies. This approach reflects EptaTechnic ...