About Smart Cool Tech

Mission, vision, and the team behind the platform

Our Mission

To revolutionize building energy management through intelligent, AI-powered optimization that delivers measurable savings while maintaining occupant comfort and system reliability.

Why Smart Cooling?

Chiller plants typically account for 40-50% of a building's total energy consumption. Traditional control strategies are often suboptimal, leading to significant energy waste. Smart Cool Tech applies cutting-edge AI and semantic web technologies to unlock hidden efficiency potential in existing systems—no hardware upgrades required.

Our Approach

Research-Driven

Built on peer-reviewed research in Bayesian deep learning, optimal control theory, and building energy systems. Every algorithm is validated against real-world data.

Proven in Practice

Deployed in real buildings with demonstrated 10%+ energy savings. Continuous monitoring ensures sustained performance over time.

Standards-Based

Leverages Brick Schema, a community-driven standard for building metadata. Interoperable with existing BMS and IoT platforms.

Technology Stack

AI/ML Frameworks
PyTorch, TensorFlow, Scikit-learn
Semantic Web
Brick Schema, RDFLib, SPARQL
Database
InfluxDB 3.0 (Time-Series)
Visualization
Streamlit, Plotly, D3.js
Deployment
Docker, Kubernetes, CI/CD
Languages
Python, JavaScript, Turtle

Research & Publications

Accelerating chiller sequencing using dynamic programming

Li, Shuhao, Siqi Li, and Zhe Wang
Energy and Buildings, Vol. 325, 2024: 115037
Dynamic programming approach reduces optimization computation time from minutes to seconds while maintaining solution optimality.

Field demonstration of model predictive control for chiller sequencing

Li, Shuhao, et al.
Energy and Buildings, 2025: 116021
Real-world deployment validation with Bayesian Neural Networks achieving significant energy savings in large commercial buildings.

Applying semantic model for easy and fast deployment

Li, Shuhao, et al.
Energy and Buildings, 2025: 116830
Brick Schema-based framework enables algorithm-building decoupling for rapid deployment across different chiller plant configurations.

Partner Organizations

Research Institution
The Hong Kong University of Science and Technology (HKUST)

Leading research in building energy systems and AI optimization

Industry Partner
Shuion Group (瑞安集团)

Real estate development and property management leader in Asia Pacific

Environmental Impact

Carbon Emissions Reduction

Based on typical deployment scenarios, Smart Cool Tech achieves:

  • 15-25% reduction in chiller plant energy consumption
  • ~200 tons CO₂e/year saved per medium-sized building
  • Equivalent to taking 40+ cars off the road annually
  • ROI period: Typically 6-12 months including deployment costs

Licensing & Usage

Smart Cool Tech is available for research and commercial use under flexible licensing terms. Contact us for academic partnerships, pilot deployments, or enterprise licensing.

Contact & Support

General Inquiries

Email: [email protected]
Response time: 1-2 business days

Technical Support

Email: [email protected]
Hours: Mon-Fri 9am-6pm HKT

Business Development

Email: [email protected]
Schedule a demo call

Research Collaboration

Email: [email protected]
Academic partnerships welcome

Ready to Get Started?

Explore the platform and see how Smart Cool Tech can optimize your chiller plant.

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