“ It is important to simulate outside conditions , which could be potentially catastrophic when they are delivering 30 % of your cooling ”
DAVID KING Product Manager , Future Facilities offering obvious benefits ,” he warns . “ People will try and get as close to the edge of the efficiency envelope as they can by adding layers of complexity with fans that ramp up and down for a trio for conditions . We ’ re not convinced the efficiency gains people hope for will be delivered .”
This reckoning with reality could be overcome with AI and machine learning for control systems . Future believes the challenge will be creating the ability to learn in heterogeneous DC environments that change quickly . “ Simulation has a place in that as we move into automation ,” says Leppard , “ but we ’ ll give the machine learning something to reference , prior to a DC ’ s launch , to bulk up the start point and then allow fine tuning with the reality that ensues .”
The ultimate goal in 2018 ? “ We ’ re focused on making simulation a part of everyday processes and we ’ re starting to see this with corporates . Meanwhile , we ’ ll continue to work with research companies like ES2 and The Green Grid on performance indicators to provide tools to help the industry and give better insight to decision makers .”
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