Stolz Engineering Won Sustainability Award for AI Platform
The firm earned the honor for a new IoT system designed to optimize the energy efficiency of cooling tower infrastructure.
Updated on Sept. 23, 2026 in Data Centers
Live Poll
Do you trust that retrofitting older industrial equipment effectively achieves significant sustainability targets?
Stolz Engineering has secured an Impact Enterprise Excellence Award at the 2026 Sustainability Impact Awards. The firm was recognized for its development of an AI-powered IoT platform that optimizes cooling tower performance through real-time data analysis.
Why it matters
The platform prioritizes retrofitting existing industrial cooling infrastructure over replacement, directly reducing carbon emissions and energy demand. This approach provides a scalable solution for maintaining aging cooling systems while meeting rigorous sustainability standards.
The IoT platform utilizes non-invasive sensors to track pressure, weather, and mechanical health, transmitting data to a cloud interface for operators. A 40-cell cooling tower configuration is projected to achieve annual cost savings of up to S$2 million.
The players
Stolz Engineering
Established in 2007, this firm specializes in industrial cooling infrastructure and IoT sensing technologies.
Singapore Polytechnic
This educational institution served as the site for the proof-of-concept validation of the cooling tower platform.
The details
Developed to support over 1,000 facilities in Singapore, the platform uses artificial intelligence to transform sensor-gathered data into actionable alerts and dashboards. The solution was validated through a successful proof-of-concept trial conducted at Singapore Polytechnic.
Timeline
Stolz Engineering was established in 2007.
The firm won the Impact Enterprise Excellence Award in 2026.
Full deployment of the AI-integrated platform is scheduled for Q1 2027.
The Singapore Green Plan set sustainability targets for 2030.
The Tech Race
This innovation follows the efficiency trajectories established by The Singapore Green Plan. By retrofitting legacy hardware with AI, the technology positions the firm against traditional infrastructure providers that typically rely on costly full-system replacements.
Industrial operators can expect to see reduced operational costs and lowered energy consumption through the adoption of this AI-driven monitoring. The system simplifies maintenance workflows by providing automated, data-backed reports for facility managers.
The takeaway
Retrofitting aging infrastructure with IoT and AI provides a cost-effective path to sustainability for large-scale industrial facilities. Operators looking to improve efficiency should prioritize non-invasive sensing technologies that provide granular data on mechanical health and energy usage.
Further reading
Learn more about the latest innovations in Data Centers.
Source note: This article includes information reported by The Business Times.
Live Poll
Do you trust that retrofitting older industrial equipment effectively achieves significant sustainability targets?
