Former US energy secretary Steven Chu once described energy efficiency as “not just low-hanging fruit” but “fruit that is lying on the ground”. Yet despite being cost-effective, this critical method of decarbonisation is widely underused.
The process of identifying where and how energy is wasted is complex and time-consuming, which is why technologies and management practices in this area are not adopted as widely as they could be. Artificial intelligence could now be changing that.
“AI can understand where the problems are and where the waste is — and you don’t need five people with PhDs looking at monitors all day,” says Brian Motherway, head of energy efficiency at the International Energy Agency.
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