National University modernizes campus operations for smarter, sustainable facilities
The National University of Singapore (NUS) undertook an ambitious project to refresh its aging campus infrastructure, which includes 260 buildings with disparate standalone systems. Facing challenges in interoperability among legacy technologies—ranging from air conditioning to fire protection—NUS partnered with Microsoft and Johnson Controls to create a unified smart campus. After a fact-finding tour of Microsoft's own modernized Redmond campus, NUS deployed Microsoft Azure Digital Twins as the digital backbone, integrating with Johnson Controls’ OpenBlue cloud platform. This system creates real-time operational models, allowing for predictive maintenance, automation, and sustainability simulations. University staff have received specialized training for ongoing digital transformation. The initiative aims to make the campus carbon neutral and reduce ambient temperatures, leveraging AI, IoT, and data visualization through Power BI. Early impacts include improved energy management and data-driven planning for future campus enhancements.
- Organization
- National University of Singapore
- Industry
- Education
- Location
- Singapore
- Published
- December 2020
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- National University of Singapore
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- news.microsoft.com
After a fact-finding tour of Microsoft's own modernized Redmond campus, NUS deployed Microsoft Azure Digital Twins as the digital backbone, integrating with Johnson Controls’ OpenBlue cloud platform
Primary read
Use case focus
Showing 3 of 3
- 1Smart campus digital twin
- 2Predictive building maintenance
- 3Sustainability simulation
- Legacy buildings with siloed, incompatible infrastructure systems.
- Inefficient facilities management leading to high energy consumption.
- Difficulty in achieving sustainability and carbon neutrality goals.
- Aging systems that hinder the integration of new digital technologies.
- High reliance on air conditioning due to Singapore’s climate.
- Need to enhance outdoor comfort and reduce urban heat.
- Deployed Microsoft Azure Digital Twins to model and integrate legacy campus systems.
- Integrated Johnson Controls’ OpenBlue cloud-based platform for unified facilities management.
- Utilized Power BI for real-time data visualization and predictive maintenance.
- Leveraged IoT sensors, AI analysis, and automated control of energy systems.
- Simulated sustainability and cooling strategies for campus-wide optimization.
- Provided workforce training in AI-powered building operations.
- Enabled real-time monitoring and automated optimization of all building systems.
- Improved energy efficiency by powering off unoccupied spaces automatically.
- Lay the foundation for data-driven decisions and predictive maintenance.
- Contributed to the goal of reducing ambient campus temperature by 4°C by 2030.
- Enhanced workforce skills in AI and digital building management.
Architecture
Azure Digital Twins orchestrates campus-wide facility data, integrating legacy infrastructure with the Johnson Controls OpenBlue cloud platform. IoT sensors feed real-time data into Azure, which models all buildings; Power BI provides dashboards for predictive maintenance. AI algorithms automate lighting, HVAC, and energy controls, supporting dynamic and data-driven facilities management.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Independent source available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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