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Pilot project with ST Telemedia Global Data Centres to map the potential of artificial intelligence, machine learning and advanced analytics, with a target of at least 10 percent energy savings

ABB has signed up to a pilot study with ST Telemedia Global Data Centres (STT GDC) to explore how artificial intelligence (AI), machine learning (ML) and advanced analytics can optimize energy use and reduce a facility’s carbon footprint.

Singapore-headquartered STT GDC, which is one of the fastest growing global data center operators, is leveraging the digital transformation expertise of technology leader ABB as it bids to become net carbon-neutral by 2030.

ABB is conducting the pilot in two phases, beginning with initial data exploration, modelling and validation, studying historical data to establish how digital solutions would impact existing operations and energy use. Once proven, it will be followed by AI control logic testing in a live data center environment. STT GDC aims to achieve at least 10 percent in energy savings from its cooling systems, which is the largest consumption of electrical power in a data center after IT equipment.

“Our group’s AI roadmap will take a big leap forward with this pilot program. The vast amounts of data that can be captured and harnessed in a live data center environment makes for a strong base for AI applications, which can also be applied to other business processes including capacity planning, risk mitigation and predictive maintenance,” said Daniel Pointon, Group Chief Technology Officer, ST Telemedia Global Data Centres. “This, and other initiatives around alternative energy sources, water efficiency, construction technology and innovative cooling solutions, are being carried out by our research and development team based in Singapore.”

The ABB team is currently developing AI-based optimization models for the entire data center cooling plant, including the upstream chiller and distribution systems. The AI project is also unlocking new opportunities for efficiency improvement at a granular level within the data center. STT GDC will be able to use AI-generated insights, leveraging cutting-edge ABB Ability™ Genix for industrial analytics and AI, to track and analyze data generated by monitoring systems in the data center, and better facilitate dynamic cooling optimization.

“We look forward to supporting the STT GDC team in their efforts to drive digitalization and energy efficiencies,” said Madhav Kalia, Global Head of Data Center Automation at ABB. “At ABB, we have a strong track record of supporting data center operators with our best-in-class technology solutions. We are committed to exploring the synergies between our offerings with STT GDC as it embarks on an ambitious plan.”

STT GDC is one of the fastest-growing data center providers, with a global platform of data centers in the world’s major business markets. It has more than 130 facilities across Singapore, UK, India, China, Thailand, South Korea and Indonesia.

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ABB (ABBN: SIX Swiss Ex) is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. By connecting software to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. With a history of excellence stretching back more than 130 years, ABB’s success is driven by about 105,000 talented employees in over 100 countries.

Process Automation: ABB’s Process Automation business is a leader in automation, electrification and digitalization for the process and hybrid industries. We serve our customers with a broad portfolio of products, systems, and end-to-end solutions, including our #1 distributed control system, software, and lifecycle services, industry-specific products as well as measurement and analytics, marine and turbocharging offerings. As the global #2 in the market, we build on our deep domain expertise, diverse team and global footprint, and are dedicated to helping our customers increase competitiveness, improve their return on investment and run safe, smart, and sustainable operations.