pstrongThe solution has delivered significant energy savings and keeps them on track in their climate-neutral commitments by 2030.
The solution has delivered significant energy savings and keeps them on track in their climate-neutral commitments by 2030.
This cutting-edge system uses real-time data collection, advanced physics-informed machine learning algorithms, and predictive analytics to deliver optimised control policy recommendations for the cooling system. The system policies where it fine-tuned efficiency included adjustments to flow rate, chilled water temperature, fan speed, and temperature setpoints, striking an optimal balance between cooling requirements and energy consumption.
“Considering the speed and success of this pilot project in Singapore, the solution has the potential to deliver similar levels of improvement at other IMDC facilities and more widely across the data centre industry. IMDC is currently in the process of planning its roll-out worldwide,” the company said.
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