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Summary
Researchers at the Norwegian University of Science and Technology (NTNU) have designed a proof-of-concept heating system which uses model predictive control (MPC) to warm buildings with waste heat from a nearby data center — boosting efficiency over a traditional timer-based control system.
NTNU's Gløshaugen is already extremely energy efficient, thanks to smart reuse of waste heat generated by supercomputers in its on-site data center. Cold water is piped into the data center to cool the computers, and the warmed water piped out to heat the rest of the campus — slashing the amount of heat it needs to pull from the district heating network.
Nord and colleagues, though, believed the campus could be improved still further, by making the control system for the heating system smarter. Enter model predictive control, which pulls in data about the heating system and historical information about everything from regional weather and usage of the supercomputers to make predictions about how the heat should be used.
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