Last week Dolf Krige of the Facilities Management Division presented their plan for monitoring, measuring and managing energy use on campus to the Sustainable IT Competency Centre group. Essentially the first phase implementation comes down to installing 87 intelligent energy meters during 2010 – with the goal of devolving the cost of electrical energy usage, which is currently centrally funded, to departments and divisions. Devolution of electricity costs will concentrate minds and promote energy efficiency because the financial savings will accrue to the user entity.
Posts Tagged ‘energy meters’
Preparing to pay for data centre energy usage
Friday, March 5th, 2010Preliminary PUE results for SU’s data centre
Thursday, December 17th, 2009Continuous energy measurements in Stellenbosch University’s main data centre (DC) have been taking place since April this year. We now have minute-by-minute data spanning the coldest season and some summer months – and the results are starting to become interesting. (more…)
How IT can help cut carbon emissions
Monday, May 18th, 2009While wrestling with carbon emission abatement in writing an assignment on future renewable energy scenarios as part of my studies, I came across an interesting report from McKinsey & Co about the IT sector’s potential to help to reduce carbon emissions. (more…)
Energy meters now running in the Data Centre
Tuesday, April 14th, 2009Our IP energy meters are up and running in the University data centre, thanks to the efforts of Conrad Bright and Christiaan Brand. We will now watch the results and learn about the DC’s consumption. The one meter measures total supply to the DC, while the other measures output from the UPSs (i.e. power to computing equipment). The meters started logging at around midnight. The night was cool and the servers not that busy, yet it seems that PUE was in the range 2 to 2.2 (roughly). This means that for every watt going to the computers, another is going to the aircons. It will be interesting to see how it changes as the day heats up.
Next steps are to a) provide a dashboard on this blog and b) correlate readings with local weather data.