Saving millions in energy costs

  • By Nanyang Technological University
  • Posted 10 months ago
  • Reading Time : a few minutes

New technology by NTU could help companies and factories cut their energy bills

A new technology from Nanyang Technological University, Singapore (NTU Singapore), could help companies and factories cut their energy bills by as much as 10 per cent.

The new algorithm is able to analyse energy consumption by tapping on sensors in computer chips already found in equipment such as computers, servers, air conditioning systems and industrial machinery. Such computer chips are needed for a host of functions such as to measure temperature, log data traffic and monitor the workload of computer processors.

By combining it with externally-placed sensors, such as those that monitor ambient temperature, the new technology can integrate and analyse all the operational data and recommend energy-saving solutions with almost no upfront cost.

This new algorithm which extract all such readily data and turn them into a treasure trove of information that can be studied and analysed is developed by Assistant Professor Wen Yonggang from NTU’s School of Computer Engineering. It has been licensed by an NTU-incubated company, Evercomm Singapore.

Mr Ted Chen, co-founder and product architect of Evercomm Singapore, who worked with Asst Prof Wen to commercialise this technology shared that with the new analytic engine, large semi-conductor factories and campuses could save up to S$1 million a year without a need to change much of their hardware, and instead, tune their operation and time their energy usage.

Evercomm is looking to expand its expertise into data centre industry. It has successfully  deployed a pilot test at the NTU Green Datacentre, saving five per cent of its monthly electricity bill.

“Servers which are performing intensive computing will generate a lot of heat,” said Prof Wen, an expert in cloud computing and green data centres. “If we know which of these servers are, we can spread out the computing load and so reduce the heat emitted by the servers, in turn reducing the energy needed to cool them.”

Credit: Nanyang Technological University

BACK TO TOP