FYI, this predictive PUE system does not have autonomous control over mechanical systems. It does provide information to the data center facility engineering teams on how they can improve PUE performance. The predictive PUE model is 99.6% accurate. Jim and Joe discussed how Google looked for a high degree of confidence in order to trust the numbers, and the human operators are an important part of the process like UPS drivers on their route. UPS is famous for creating better routes for its drivers, but I bet they were not even close to the % savings Google achieved.
So how good are the results? Google achieved from 8% to 25% reduction in its energy used to cool the data center with an average of 15%. Who wouldn’t be excited to save an average of 15% on their cooling energy costs by providing new settings to run the mechanical plant? Below is an example of what was historical PUE (blue) and New PUE (green) for a site.