How MyCoreAI BMS optimisation works

A dedicated optimisation layer sits alongside your BMS, learning building behaviour and tuning HVAC continuously.

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BMS optimisation

Why MyCoreAI BMS Optimisation Works

A dedicated optimisation layer closes the performance gaps left by static BMS control.

The challenge: static BMS control

  • Fixed schedules miss real occupancy shifts
  • Manual tuning lags behind weather and seasonal change
  • Performance drift accumulates without continuous feedback

The result is avoidable energy waste, uneven comfort, and limited visibility into what the building is actually doing.

The solution: continuous optimisation

  • Adapts to real building behaviour in real time
  • Prevents overheating, over-ventilation, and simultaneous heating/cooling
  • Maintains comfort and compliance within agreed constraints

MyCoreAI delivers measurable savings and stable comfort, while keeping your existing BMS in place.

Higher education

How it works in higher education

Optimise across academic, residential, and lab spaces with one continuous layer.

Campus-ready optimisation

  • Balances comfort, IAQ, and compliance for diverse building types
  • Aligns HVAC schedules with real occupancy patterns
  • Protects research environments with safe guardrails

Operational impact

  • Reduces energy spend without disruption to teaching
  • Gives estates teams an auditable savings record
  • Scales across estates and legacy BMS platforms

Optimising Campus Performance & Energy Efficiency

AI-driven energy optimisation for universities and higher education estates.

The University Estate Challenge

University campuses operate some of the most complex and energy-intensive estates in the built environment. Ageing infrastructure, diverse building types, fluctuating occupancy, and rising energy costs create ongoing pressure on operational budgets — while sustainability targets and student expectations continue to rise.

Why Operational Performance Matters on Campus

Teaching spaces, laboratories, accommodation, libraries, and sports facilities all exhibit different usage patterns. Traditional fixed HVAC schedules struggle to respond to this complexity, resulting in wasted energy, inconsistent comfort, and unnecessary strain on plant and maintenance teams.

The EcoAI Advantage for Universities

EcoAI uses artificial intelligence to continuously optimise heating, cooling, and ventilation in response to real-time conditions such as occupancy, weather, and indoor environmental data. Each building receives a unique optimisation model, allowing the estate to operate efficiently without manual intervention.

Measured Outcomes

  • Up to 25% reduction in electricity use
  • Up to 20% savings in heating and cooling
  • Improved comfort and indoor air quality across teaching and residential spaces
  • Reduced reactive maintenance and extended asset life

Operational Challenge & EcoAI Impact

  • Rising energy costs: AI-driven HVAC optimisation lowers operating expenditure.
  • Complex occupancy patterns: Real-time adaptive control supports net zero & ESG targets.
  • Maintenance pressure: Reduced plant stress lowers lifecycle costs and improves compliance reporting.

Supporting Sustainability & Net Zero

EcoAI provides clear, auditable performance data that supports sustainability strategies, carbon reporting, and funding applications. Optimisation is delivered without disruptive capital works, making it suitable for live campus environments.

The Bottom Line

For universities, EcoAI delivers immediate operational savings while supporting long-term sustainability goals. It enables estates teams to reduce energy consumption, improve comfort, and future-proof campus infrastructure — using intelligence rather than infrastructure.