Digital Twin for Product Simulation with Munters

We are eager to implement physics-based modeling capabilities to better understand the impact of environmental and data center operating conditions on our products’ performance, to better predict how the components within the products operate with given air flows and temperatures. We seek to collaborate with partners who use AI and machine learning to analyze and simulate the behavior of components under various conditions.

The component models should be customizable and allow for integration of vendor-specific performance data as well as actual operational data. The solution should allow for the simulation of a complete cooling unit, enabling detailed physics calculations and providing valuable insights into overall performance. This could enable future capabilities such as predictive analysis and anomaly detection.

By delivering insights into the system environment, these models will significantly enhance operational efficiency and reliability.

By integrating cutting-edge system simulation technology, we aim to enhance our product offerings and improve operational efficiency. This collaboration will also enable us to validate system designs, ensuring they meet our high standards and are adaptable to diverse contexts. For our potential partners, this translates to the opportunity to develop their solutions with Munters, achieving component, unit, and whole system simulation, fine tuning models, and growing alongside us.