PUE is Still Relevant – It Just Needs a Consistent Methodology
Mon 9 May 2016 | Michael Adams
Since the Green Grid first suggested it, PUE (power usage effectiveness) has taken its place as the standard metric for data centre efficiency. PUE was developed to help make data centres more efficient, and a key industry benefit has been to bring the principles of energy efficiency to the discussion table.
The data centre industry understands that PUE is not perfect. However, it does provide a simple and practical matrix for measuring relative efficiency of power use inside the data centre. It allows data centre operators to generate a matrix of key criteria, recorded along a timeline to provide comparison data. So, a relative increase or decrease in efficiency can be tracked and remedial action taken accordingly.
Part of the problem that ASHRAE may have is the unscientific nature of the current PUE metric and how it is used depending on where in the world the data centre is sited.
There are also questions about which aspects of the physical infrastructure should be measured and which left out of the equation. We are, I’m sure, all aware of how PUE was quickly adopted by marketeers to evidence facility efficiency. All that was needed was the purposeful elimination of certain plant’s energy use to generate an impressively low PUE
On the plus side, used correctly PUE can be a good indicator of where you are in the management of a facility. It certainly can be an effective tool if the same methodology is applied to measure the same data centres or the same group of data centres. You can effectively see how you can improve and rate the level of improvement. Using the same criteria provides a repeatable methodology and therefore results that are comparable.
However, there are circumstances where PUE becomes a difficult metric to align to the rating of a specific data centre. For example, a Tier IV data centre. It is also not exactly perfect for making comparisons between facilities due to the different ways in which the metric is applied and a vast number of variables affecting the result – like ambient weather conditions which can be different from location to location.
Using the same PUE methodology in measurement gives you an indication of how efficient your facility is. As an operator, it helps you to understand how efficient your processes are and how you can improve the efficiency. However, if you are comparing let us say, ‘colo-sites’ then you have to take a wider range of variables into account, not least what your goals are and the relative importance of each of the variable elements in your decision making process.
Measurement tools make sense and PUE fundamentally is useful as long as the criteria is understood and you know what you want to achieve with it. You cannot simply take two sites’ PUE and make operational decisions based on those figures. In the process of constantly striving for more efficient data centres there are new technologies that provide real-time data flows to the management of the data centre. Systems such as SynapSense offer a dynamic approach to real-time understanding of the energy efficiency within the data centre. This provides not only the data to continuously improve energy efficiency, but also automated control of cooling systems to effectively control energy usage and minimise PUE figures.