![]() ![]() All three technologies are built on cost effective sensing solutions that increase the density of sensing points and enable high resolution mapping of DCs. Several new sensing technologies were added to the existing MMT platform: (1) air contamination (corrosion) sensors, (2) power monitoring, and (3) a wireless environmental sensing network. Turning off a CRAC unit can be simulated to understand how the other CRAC utilization changes and how server temperature responds. One such example is thermal zone modeling that matches the cooling power to the heat generated at a local level by identifying DC zones cooled by a specific CRAC. This rapid modeling enables real time visualization of the DC conditions and enables 'what if' scenarios simulations to characterize response to 'disturbances'. The demonstration showed that the software can be used to simulate data center energy use and create a model that is useful for investigating energy efficiency design changes. These included increasing the IT equipment load, adding computer room air handler fan speed controls, and adding a water-side economizer. The model was then used to predict energy use for various modification opportunities to the data center in successive iterations. In this case the overall variance was reduced to approximately 1.2 percent. Some variances were investigated, and more accurate information was entered into the model. The initial predicted power levels were compared to actual meter readings and were found to be within approximately 10 percent at a particular measurement point, resulting in more ยป a site overall variance of 4.7 percent. The model simulated the total energy use in the data center and supporting infrastructure and predicted energy use at energy-consuming points throughout the power distribution system. The actual energy used by the computer equipment was recorded from power distribution devices located at each computer equipment row. The software modeling tool predicted the energy use of the data center?s cooling and electrical power distribution systems, as well as electrical energy use and heat removal for the site. Electrical energy monitoring was available at a number of locations within the data center. The data center also utilized an uninterruptible power supply system for power conditioning and backup. It was cooled using traditional computer room air handlers and a compressor-based chilled water system. The demonstration was conducted in a conventional data center with a 15,500 square foot raised floor and an IT equipment load of 332 kilowatts. This report documents a demonstration of a software modeling tool from Romonet that was used to predict energy use and forecast energy use improvements in an operating data center.
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