Smarter Ice.
Sustainable Rinks.
RinkStat makes ice rink chiller systems more efficient using real-time infrared thermal monitoring, usage-based scheduling, and advanced optimization models.
We cut energy costs without compromising on ice quality.
Ice rinks are one of the most energy-intensive buildings in any community
Without real insight into ice conditions, rink refrigeration systems run harder than they need to — burning energy, driving up costs, and leaving an outsized carbon footprint. It's a problem felt most acutely by the community and municipal rinks that can least afford it.
From raw data to real savings
RinkStat bridges the gap between ice rink operations and modern energy optimization. We deliver results through a seamless, four-step process.
Monitor
Our IR camera continuously monitors the ice surface in real-time, providing granular temperature data across the rink.
Model
A physics-based model captures the ice-rink system's complex thermodynamics, including slab conduction, air convection, lighting radiation, and resurfacing events.
Optimize
Using cutting-edge optimization techniques, we calculate the ideal chiller schedule by accounting for rink usage and energy prices.
Save
Rinks save on energy bills while maintaining perfect ice quality. Usage-based scheduling ensures chillers only run when truly needed.
Built on rigorous engineering
Our technology stack combines hardware sensing, physics-based modeling, and mathematical optimization to deliver real-world energy savings.
Infrared Thermal Monitoring
A ceiling-mounted IR camera continuously captures the surface temperature distribution across the entire ice sheet. No contact sensors needed.
Physics-Based Thermal Model
Our model captures the complex heat transfer dynamics of the ice-rink system: conduction through the slab, convection from arena air, radiation from lights, and resurfacing events.
Differential Evolution Calibration
We use differential evolution to calibrate model parameters against real sensor data, ensuring our thermal model accurately reflects each rink's unique characteristics.
MILP Optimization Engine
A Mixed-Integer Linear Programming solver determines the optimal chiller on/off schedule that minimizes energy use while keeping ice temperature within safe bounds.
Usage-Based Scheduling
Our system integrates rink booking schedules, adjusting ice quality targets based on whether a session is a public skate, hockey practice, or a game.
Real-Time Dashboard
Rink operators get a clear view of ice conditions, chiller status, energy consumption, and projected savings.
Measurable results, meaningful change
Every rink we optimize means lower energy bills, reduced carbon emissions, and better ice. All with no disruption to day-to-day operations.
A greener future for community rinks
Ice rinks are essential community infrastructure, but they don't have to be energy hogs. RinkStat makes sustainability accessible for rinks of all sizes, from small-town arenas to university complexes.
Engineers building the future of ice
We're a team of Mechatronics Engineering graduates from the University of Waterloo, combining expertise in thermal systems, optimization, and embedded hardware.
Domenic Hampson
Co-Founder
Alex Lardis
Co-Founder
Max Ornstein
Co-Founder
Ready to make your rink smarter?
Whether you operate a community rink, manage a multi-facility network, or are looking to invest in sustainable infrastructure — we'd love to hear from you.
Based In
University of Waterloo
Waterloo, ON, CanadaReviewing our application? We'd be happy to provide additional technical documentation, demo access, or answer any questions.
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