Computation Fluid Dynamics (CFD)

MCE uses two different programs for CFD modeling. One of those programs, Tileflow, we use for modeling airflow in a computer room environment. With this tool, we can perform: Growth modeling: predicts hotspots and trouble areas in advance, failure analysis: model cooling performance if a cooling component fails, optimize airflow: many data centers require excess capacity due to inefficient airflow, guide commissioning efforts to identify hot spots or potential problem areas. The other CFD modeling program is not restricted to computer rooms and we have used it for unique airflow analysis situations. Both of these programs are design tools that give us the ability to analyze and predict airflow so we can optimize the design prior to construction. The benefit of conducting CFD modeling is that it allows for a graphical representation of the predicted air and temperature flow patterns which can be easily interpreted, ventilation problems can be readily identified and solutions quickly tested. The results can help to develop novel concepts to a level where mechanical designers can provide a practical system and access the viability of the proposed ventilation scheme. The results can also identify means to reduce operating cost through reduction in flow. With mission critical facilities driving toward higher and higher densities of IT equipment, engineers must be able to prove to a client that every RU of every rack will receive temperatures that are within acceptable ranges. A computational fluid dynamics (CFD) model can show the designed data room’s airflow patterns and temperature at any point in the room.