Upto 90% energy savings with self powered ATEX certified Industrial ventilation control; AI-Driven, Thermal Optimisation expandable to HVAC & Heat Pump Systems.

SmartAIR Technologies Ltd offers a patented, machine learning (ML)-driven predictive airflow control platform engineered to drastically optimize energy performance in industrial local exhaust ventilation (LEV) and HVAC systems. Developed through spin-off expertise from 25+ years in ventilation engineering and backed by £750k in non-dilutive grant funding from DESNZ, The Carbon Trust, and Innovate UK, our platform combines dynamic ML airflow algorithms with, ATEX-certified (where required) self-powered actuators & wireless sensor hardware.

Having demonstrated 50% to 90% fan energy savings with 40+ legacy system deployments, we are expanding our core ML control algorithms into commercial/domestic building HVAC systems and Heat Pump (HP) predictive controls. We are seeking consortium partners to co-develop, integrate, and pilot this technology within the CET Partnership framework.

Core Technologies & Key IP Assets

Proprietary Dust Deposition Sensing (DDS): Patent-pending Infra-red/pressure sensing hardware (ATEX pending) that safely permits the relaxation of traditional main header duct transport velocity limits without risking particulate settling, yielding up to 90% fan energy savings, in low utilisation conditions. Wireless comms to Central Control Module (CCM)

Autonomous Airflow Controllers (AAC) with Energy Harvesting: ATEX (pending) Zone 2/22, kinetic energy harvesters powering ATEX dampers with integrated venturi velocity & peripheral sensors with wireless communications to CCM. Eliminates high-cost control wiring and enables rapid, minimal downtime retrofits. Dampers modulate to provide required airflow from either room / area sensors or pre-determined setpoints.

Real-Time Dynamic System Modeling: ML algorithms are continuously updated from pressure / velocity sensor arrays mapping unique installed fan polynomials and ductwork resistances enabling predictive dynamic damper control and fan speed optimization providing superior response compared to feedback PID control.

HVAC & Heat Pump (HP) SCOP Optimization: Extension of our dynamic airflow logic to optimize room-by-room thermal distribution, mechanical ventilation with heat recovery (MVHR), and predictive HP controls. Expected 15–20% improvement in seasonal Coefficient of Performance (SCOP) while addressing overheating compliance.

Services & Contributions Offered to the Consortium

Work Package Leadership: Expertise to lead Work Packages focused on IoT Sensor Hardware Integration, ML Control Algorithm Development, Airflow Modeling, or Field Pilot Demonstrations.

Technical Integration & Co-Development: Providing custom firmware, PCB motherboards, and software interfaces for OEM partner integration into Air Handling Units (AHUs), MVHRs, and heat pumps.

Pilot Site Deployment & M&V: Full setup, commissioning, and cloud-based Environmental, Health & Safety (EHS) data analytics for test facilities.

Regulatory Compliance & Safety: Comprehensive ATEX/IECEx hardware design and risk mitigation for deployment in potentially explosive industrial atmospheres; further certifications required.

 Consortium Partners Sought

Partner Profile 1: OEMs & System Integrators

Manufacturers of Heat Pumps (ASHP/GSHP), Air Handling Units (AHUs), or commercial HVAC based in continental Europe

Direct integration of SmartAIR ML thermal modeling and dynamic airflow hardware into OEM product lines.

Partner Profile 2: Industrial & Commercial Pilot Sites

European manufacturing plants, food processing facilities, chemical plants, or large commercial test sites interested in energy upgrades.

Serving as real-world field-demonstration sites for CAPEX energy reduction upgrades and M&V validation.

Further testing of DDS system

Partner Profile 3: R&D & Academic Institutions

Research entities specialising in built-environment physics, AI/ML environmental analytics, thermal modeling, or digital twins.

Joint R&D to co-develop room-level dynamic thermal modeling, building digital twins, and predictive HP algorithms.

 Track Record & Readiness

Technology Readiness Level: TRL 5/6 moving to TRL 8/9.

40+ legacy industrial systems deployed.

Funding & Validation: £750k in DESNZ, Carbon Trust, EPSRC, and Innovate UK funding; validated through academic research partnerships (Universities of Exeter & Reading).

IP Protection: Granted UK Patents and international PCT applications covering energy harvesting micro-turbines, dust deposition systems, and predictive airflow modeling.