Many sites are calculating a partial PUE (pPUE) by not including all loads in the total site power but reporting it as total site PUE. Additionally, there has been a growing trend of misuse of PUE. While the average PUE of data centers surveyed has been dropping over recent years, there is still a great deal of room for improvement. Additionally, PUE is not a standalone reference point that provides useful information when calculated infrequently. While an extremely important tool, PUE cannot tell you specifically what to improve to make a data center more energy efficient. PUE is determined by dividing the amount of power entering a data center (total facility power) by the power used by the computer equipment. Considered the highest level metric to look at overall efficiency, measuring PUE is a great starting point to measure data center performance and track changes/improvements made to a data center over time. In fact, PUE data reveals that cooling infrastructure is the single largest consumer of data center power (typically around half), and therefore, the largest contributor to a high PUE value. Power Usage Effectiveness (PUE)Ĭreated by The Green Grid, PUE has become the most widely used metric for assessing the energy efficiency of a data center. The following metrics discussed can help you identify which fundamental items can be improved, thus increasing your data center’s cooling capacity, IT performance, and energy savings regardless of the configuration of your room or the cooling methodology being used. Therefore, experts in the field have placed a renewed focus on fundamentals and have recently broached the topic at many of the industry’s biggest events.Īirflow Management (AFM), in a nutshell, is about improving data center airflow so the least amount of conditioned air at the highest supply temperature can be used to effectively cool IT equipment. However, applying the fundamentals is crucial to getting the best results, regardless of having a legacy cooling configuration or the latest advanced free cooling methodology. ![]() Fundamental data center metrics have been the basis of many publications and presentations since the industry’s founding, but an emphasis on the fundamentals has dropped off over the last several years because advances in cooling methods such as containment, free cooling, and evaporative cooling have held the spotlight. New technology and techniques can often be helpful, but without employing fundamental airflow management metrics the full benefits of advanced cooling methods cannot be realized. While methodologies and techniques for cooling continue to advance, some of the basic lessons that have proven themselves over time continue to be underutilized. Modern data centers continue to evolve at a rapid pace.
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