Applied Math Modeling Inc.’s CoolSim 4 allows users to predict the effect of failed cooling units and the energy savings related to optimizing airflow using techniques such as containment (hot-aisle/cold-aisle) or reduced fan speeds. And, because CoolSim 4 is highly scalable, energy optimization occurs through the rapid manipulation of design parameters. CoolSim 4 has the ability to accurately predict the total energy envelope of a data center using metrics including power utilization effectiveness (PUE), return temperature index (RTI), and rack cooling index (RCI).
Using these metrics, data center operators and design engineers can quickly assimilate CoolSim computational fluid dynamics (CFD) output results and make energy optimization decisions. CoolSim 4 is based upon an all-new model building environment, which improves user productivity by allowing models to be built in multiple concurrent views. Thus the data center model can be constructed using both 2-D and 3-D views at the same time. The option to use multiple display monitors is also supported, offering additional on-screen real estate for building more accurate representations of the data center.