Methods and techniques for measuring and improving data center best practices

• Published in: 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems pp. 1146 - 1152
• Main Authors: Hamann, H.F., Schappert, M., Iyengar, M., van Kessel, T., Claassen, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2008
• Subjects: Air conditioning; Best practices; Cooling; Costs; Data Center Cooling; Energy consumption; Energy efficiency; Energy management; Energy measurement; Temperature distribution; Thermodynamics
• ISBN: 9781424417001; 1424417007
• ISSN: 1087-9870; 2577-0799
• DOI: 10.1109/ITHERM.2008.4544390

Here we present a novel, measurement-based method for characterizing and improving the energy efficiency of a data center (DC). The technique not only yields a clear set of measurement-based best practices metrics, but also provides clear guidance to a DC manager to substantially improve the DC energy efficiency. We describe a technology which exploits the superiority of fast and massive parallel data collection using the Mobile Measurement Technology (MMT) [1] to drive towards quantitative, measurement-driven DC best practices implementation. A large representative raised-floor DC is mapped by the MMT methodology readily yielding the DC layout, very detailed 3D temperature distributions, flows and other relevant physical parameters of the specific facility. The data is used to calculate key metrics (horizontal and vertical hotspots, targeted air flow, plenum temperature, air conditioning unit utilization and flow levels). These metrics provide insights into the sources of energy inefficiencies of the current DC setup, and systematically guide DC managers to improve various best practice aspects in the specific DC. It is shown that significant energy reductions can be achieved utilizing the above described best practices methodology.