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Algorithm Set to Save Millions in Energy Costs


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Evercomm co-founder Ted Chen, holding a wireless sensor chip that identifies factors that affect energy consumption.

Researchers at Nanyang Technological University have developed an algorithm that could help companies cut their energy bills.

Credit: Nanyang Technological University

Nanyang Technological University (NTU) researchers have developed an algorithm that could help companies cut their energy bills by as much as 10%.

The algorithm is designed to access data from existing sensors in computer chips, servers, air conditioning systems, and industrial equipment, which means organizations will not need to update their information technology hardware to benefit from the cost savings. Once combined with the sensors, the algorithm can analyze its operational data and recommend energy-saving solutions.

"We can find out exactly how much cooling a room needs, whether there is an oversupply of cooling, and [how to] adjust the air flow and temperature to achieve the best balance," says NTU researcher Ted Chen.

He also notes the innovation could help some companies reduce their carbon footprint and energy consumption. "With NTU's new analytic engine...large semiconductor factories and campuses could save up to [$700,000] a year without a need to change much of their hardware," Chen says.

From The Stack (UK)
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