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Self-learning buildings will increase energy efficiency

At Salford, computer scientists will have responsibility for applying self-learning software to the system which will allow the buildings to become more efficient over time as data is gathered by sensors. The University will also lead on work to encourage uptake of the new technology using knowledge developed at its Energy Hub to change people’s poor environmental behaviours.

Called SEEDS, the project’s first demonstration sites are part of the University of Stavanger campus in Norway and an office block in Madrid. They were chosen because of their high levels of energy use and contrasting local lifestyles and weather conditions.

In practice this will involve collecting various data, such as temperature, humidity, luminance, and occupancy via wireless sensors. The software then learns to optimise heating and ventilation so that user comfort is satisfied but energy consumption is minimised. 

Energy savings should follow since the heating or air conditioning will be controlled more closely to actual requirements such as avoiding being on when there are no people in rooms.

Professor Sunil Vadera from the School of Computing, Science & Engineering is leading Salford’s £299,000 section which forms part of an overall £2.2million three-year project. He said: "This is a project of major importance as it brings together scientists from different specialisms and locations.

"Using software in this way has the potential to make our buildings much more energy efficient without having to rely on every single person using them in the correct manner."

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One thought on “Self-learning buildings will increase energy efficiency

  1. Mark Walker says:

    Will it be called HAL?

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