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Yokogawa to Assist the Scale Up of Tropical Climate AI Data Center Testbed into a Multi-megawatt Pilot Facility


News provided by

Yokogawa Engineering Asia

29 Sep, 2026, 12:14 CST

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- Contributing to Singapore's sustainable digital infrastructure initiative -

TOKYO and SINGAPORE, Sept. 29, 2026 /PRNewswire/ -- Yokogawa Electric Corporation (TOKYO: 6841) announces that its subsidiary Yokogawa Engineering Asia Pte. Ltd. has joined the Sustainable Tropical Data Centre Testbed Phase 2.0 (STDCT 2.0) Consortium, an initiative led by the College of Design and Engineering (CDE) at the National University of Singapore (NUS). Through participation in this initiative, Yokogawa will leverage its deep industrial automation heritage and leadership in autonomous operations to enhance operational efficiency, asset reliability, and energy optimization across the next-generation data center environments.

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(From left to right) Mr. Joshua Kyaw Zwa and Mr. Kin Wah Chay of Yokogawa Engineering Asia, and Prof. Lee Poh Seng and Mr. Ian Loo of NUS at the agreement signing ceremony.
(From left to right) Mr. Joshua Kyaw Zwa and Mr. Kin Wah Chay of Yokogawa Engineering Asia, and Prof. Lee Poh Seng and Mr. Ian Loo of NUS at the agreement signing ceremony.

Driven by the rapid adoption of generative AI and cloud services, demand for data centers is growing worldwide. At the same time, industry faces significant challenges regarding energy consumption, operational resilience, and workforce constraints. These energy and operational challenges are even more pronounced in tropical regions such as Singapore, where hot and humid conditions place greater demands on cooling systems and energy efficiency, making sustainable data center innovation a crucial matter.

Singapore has identified the data center industry as one of its strategic growth sectors and is advancing plans to develop Jurong Island as a hub for next-generation data centers, an initiative led by government agency for industrial infrastructure, JTC Corporation, with a projected capacity of up to 700 megawatts.

STDCT 2.0 is a testbed initiative that brings together partners from academia, industry, and government to develop and evaluate advanced energy management and cooling technologies and establish a sustainable operating model suitable for AI data centers in a tropical climate. Beyond technology deployment and validation, Yokogawa will also work with the consortium to explore a joint research agenda to address emerging challenges where existing commercial solutions are insufficient to meet the demands of data center operators.

Through its participation in STDCT 2.0, Yokogawa aims to further strengthen its AI-powered technological capabilities and R&D expertise to develop comprehensive solutions that will support Singapore's journey towards a sustainable digital economy and also enhance the efficient and stable operation of AI data centers worldwide.

Professor Lee Poh Seng, Director of STDCT and Head, Department of Mechanical Engineering, College of Design and Engineering at NUS, said, "AI is fundamentally changing the design and operation of data centers. As rack densities rise and infrastructure becomes increasingly complex, improving individual components will no longer be enough, we need to optimize the data center as an integrated system spanning computing, power, cooling, controls and operations. STDCT 2.0 provides a real-world platform to bring these domains together and validate solutions under the demanding conditions of a tropical climate. Yokogawa's deep expertise in measurement, industrial automation and autonomous operations adds an important capability to this effort. Through this partnership, we hope to develop and demonstrate new approaches that make AI data centers not only more energy- and resource-efficient, but also more intelligent, resilient and scalable for deployment in Singapore and other tropical markets."

Kin Wah Chay, President and CEO of Yokogawa Engineering Asia, commented, "This initiative reflects Yokogawa's vision of enabling industrial autonomy and extending our expertise into the rapidly evolving digital infrastructure sector. We are honored to join the STDCT 2.0 Consortium and work alongside leading partners to accelerate and co-innovate solutions for next-generation AI data centers. Leveraging decades of experience in industrial automation and energy management, we aim to help drive smarter, more efficient, and sustainable data center operations in tropical regions."

For more information
Yokogawa's Data Center Solutions: https://www.yokogawa.com/industries/data-centers/

About the Sustainable Tropical Data Centre Testbed (STDCT)
The Sustainable Tropical Data Centre Testbed (STDCT) is a joint research initiative led by the National University of Singapore (NUS) and hosted by its College of Design and Engineering, in collaboration with leading industry partners.
STDCT 2.0 focuses on developing energy-efficient data centre designs that can operate reliably in tropical climates. The programme serves as a live testbed to evaluate, validate, and deploy sustainable innovations that reduce energy and water consumption while supporting dense, AI-driven operations.
For more information, visit https://cde.nus.edu.sg/stdct/

About Yokogawa
Yokogawa provides advanced solutions in the areas of measurement, control, and information to customers across a broad range of industries, including energy, chemicals, materials, pharmaceuticals, and food. Yokogawa addresses customer issues regarding the optimization of production, assets, and the supply chain with the effective application of digital technologies, enabling the transition to autonomous operations.

Founded in Tokyo in 1915, Yokogawa continues to work toward a sustainable society through its 18,000+ employees in a global network of 136 companies spanning 63 countries.

For more information, visit www.yokogawa.com

The names of corporations, organizations, products, services and logos herein are either registered trademarks or trademarks of Yokogawa Electric Corporation or their respective holders.

SOURCE Yokogawa Engineering Asia

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