Stolz Engineering Won Award for AI Cooling Platform

The firm’s IoT retrofit for industrial cooling infrastructure aims to cut energy consumption starting in 2027.

Updated on Sept. 23, 2026 in Data Centers

Isometric editorial illustration of a modular industrial cooling tower featuring ventilation vanes and water piping in muted teal and oxblood colors.
Stolz Engineering received an Impact Enterprise Excellence Award for an AI-powered IoT platform designed to optimize industrial cooling tower energy efficiency. AI Illustration. Upload story photo >

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Stolz Engineering received an Impact Enterprise Excellence Award at the 2026 Sustainability Impact Awards for developing an AI-powered IoT platform to optimize cooling towers. The company plans to deploy this retrofit solution commercially by Q1 2027 to improve efficiency in existing industrial facilities.

Why it matters

By prioritizing the retrofitting of existing infrastructure over new construction, this approach accelerates decarbonization in cooling-intensive industrial sectors. The technology aims to significantly reduce energy demand across hundreds of facilities in Singapore, Malaysia, and Thailand.

The system achieves a 47.5 per cent reduction in fan energy, translating to 836 kilowatt-hour savings and 0.36 tonnes of carbon emissions reduction per fan annually. These performance figures were validated through a proof-of-concept at Singapore Polytechnic.

The players

Stolz Engineering

An engineering firm established in 2007 that provides support for industrial cooling infrastructure across Singapore, Malaysia, and Thailand.

Singapore Polytechnic

A research and educational institution that hosted the proof-of-concept validation for the IoT cooling platform.

The details

The platform utilizes non-invasive IoT-sensing technologies to track critical cooling tower metrics, including temperature, water usage, pressure, weather, and mechanical health. These IoT sensors—hardware devices that collect and exchange data via the internet—transmit information through a gateway to a cloud-based platform. Artificial intelligence then synthesizes this raw data into actionable dashboards and alerts for human operators to adjust performance in real time.

Timeline

  1. 2007: Stolz Engineering was established.

  2. 2026: Stolz Engineering won an Impact Enterprise Excellence Award.

  3. Q1 2027: The firm plans to deploy the AI-integrated cooling platform.

  4. 2030: Target year for the Singapore Green Plan.

The Tech Race

This development aligns with the sustainability goals established by the Singapore Green Plan. It positions Stolz Engineering to compete in the regional ASEAN market by offering a scalable, retrofit-first alternative to the complete demolition of aging cooling infrastructure.

Facility operators can expect a dashboard-driven workflow that replaces manual inspection cycles with automated alerts. The retrofit is intended for existing towers, meaning operators can bypass the capital expenditure of building new cooling infrastructure.

The takeaway

This technology demonstrates the high potential for AI-driven retrofits to curb industrial emissions without replacing expensive assets. Operators should monitor the Q1 2027 deployment to determine the platform's reliability across diverse climate conditions in Malaysia and Thailand.

What happens next

The company aims to implement the platform across its 1,000 supported cooling facilities in Singapore within two years of the Q1 2027 deployment.

Further reading

For broader trends in infrastructure efficiency, see our coverage of Data Centers.

Source note: This article includes information reported by The Business Times.

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Do you trust that retrofitting older industrial equipment effectively achieves significant sustainability targets?