Technology Category
- Analytics & Modeling - Digital Twin / Simulation
- Sensors - Temperature Sensors
Applicable Industries
- Retail
Applicable Functions
- Maintenance
Use Cases
- Digital Twin
- Virtual Reality
Services
- System Integration
About The Customer
Epta is a multinational group that provides a comprehensive range of solutions for commercial refrigeration. The company ensures the supply, installation, and maintenance of systems. Epta has a strong and well-balanced competitive position worldwide, both in terms of geographic distribution and business area coverage. The company operates under several brands, including Costan, Bonnet Névé, George Barker, Eurocryor, Misa, and IARP. Epta is committed to satisfying the needs of demanding customers around the world, addressing critical issues for large-scale retail trade.
The Challenge
Epta, a global leader in commercial refrigeration solutions, was facing challenges in evaluating and validating the performance of multiple refrigeration system designs under various working conditions. The increasing global engineering trends necessitated a deeper understanding of physics and large-scale simulation efforts. The traditional methods were not efficient enough to deal with these demanding requirements. The need for a robust, fast, and convenient environment, especially during production peaks, was evident. The challenge was to find a solution that could provide a flexible configuration to manage multiple projects simultaneously without compromising on the speed and scale of simulations.
The Solution
Epta adopted ANSYS Fluent, ANSYS CFD PrepPost, and ANSYS HPC Pack, hosted on a Gompute cluster, to address their challenges. The solution involved the simulation of flow patterns, pressure drops, and airflow thermal behavior in a refrigerated cabinet with 3-D and transient analysis using ANSYS Fluent. The Gompute cluster provided a 'ready-to-go' environment that allowed fast and convenient investigation. The solution also offered the flexibility to split CFD PrepPost and solver activities, enabling the management of multiple projects at the same time. The new hosted solution significantly increased the flexibility to allocate computing resources, capacity, and simulation speed, at a lower cost of ownership than building an internal cluster.
Operational Impact
Quantitative Benefit
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