SAT is freely available on Romonet’s website to all business leaders and operational staff who want to understand and compare the differences in performance between the most common data center designs:
The tool enables users to compare the energy, PUE (Power Usage Effectiveness), energy-cost and CO2 performance of each design across many different climates in Europe and North America. Currently Romonet’s tool covers 69 locations in the US and 22 locations in Europe and the company plans to continue adding locations as its data grows.
Users can either select a specific location and see how the four data center types compare in performance, or they can select a specific data center type to see how it performs across different geographical and climate regions. To ensure the simulation is as accurate as possible, users can also select the estimated IT load of the data center.
Users can also download a PUE surface plot that shows the expected PUE for all load points and external climate conditions. Romonet’s PUE surface plots are one of the most industry recognised visual outputs.
“In many cases, when having to decide on the location of a data center or its design companies would invest significant resources and time to get the necessary insight regarding the options most suitable for their business needs. SAT offers this information for free in a matter of seconds. I hope this will shake up the industry and make many business leaders reconsider the value and power of analytics data in decision-making regarding their data centers,” said Zahl Limbuwala, co-founder, Romonet.
SAT’s results are generated using over 1,600 simulation years’ worth of data processed with Romonet's patented Data Center Analytics technology.
Each simulation model represents a 1MW data center operating at one of four load points for twelve months using TMY (Typical Meteorological Year) data, calculating performance for each hour of the simulated year. These results are then totaled to provide typical annual performance metrics for each climate and energy cost region.
“SAT is a great starting point when looking at the initial design and location choices for a new data center. However, as the industry evolves and innovates data centers become increasingly sophisticated and generic data is simply not enough to model and calibrate a highly efficient, reliable facility. Romonet provides a range of data center lifecycle services that can guide data center decision makers with accurate analytics data based on their specific and unique characteristics.
Data centers are now under close scrutiny when it comes to their financial, energy and environmental performance. Business leaders need to up their game and realize that they need to analyse data center telemetry data constantly and compare their data centers’ performance against a dynamic baseline, if these facilities are to support business growth, meet their original business case and not become a risk,” said Limbuwala.
