Google used DeepMind's AI technology to fully automate the cooling system in its data centers. The corporation began to use the algorithm in 2016, but then it just gave the engineers advice on reducing costs. In August 2018 the system began to work completely autonomously.
Researchers trained the algorithm using the "Training with reinforcement" method. Every five minutes, the AI collects data from thousands of sensors inside the data center. The algorithm determines which configurations of the cooling system reduce the energy consumption in the best way and independently includes them. Although its work is fully automated, the company's engineers can intervene at any time.
We wanted to achieve energy savings with less operator overhead. Automating the system enabled us to implement more granular actions at greater frequency, while making fewer mistakes.
Data Centre Operator, Google
In total, the system monitors more than 120 different parameters of the data center operation, including air conditioning control, closing and opening of windows, fan speed and others.
After full automation, the DeepMind's algorithm allowed to save more energy - for 9 months the efficiency index increased from 12% to 30%.
According to Google data center vice president Joe Cava, the project will help the company save millions of dollars and reduce carbon dioxide emissions into the environment. In the long term, the system will help solve the problem of climate change, according to representatives of Google.