DABBEL AI – Autonomous HVAC Control System
Sustainable building materials & equipment
Optimizing HVAC energy use in buildings while maintaining occupant comfort.
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DABBEL AI
Company Established Year
Who is this solution for
Info
Available
Project Status
Looking to expand internationally
Doing business in
Awards and certifications
Smart Building / Smart Construction Innovation World Cup – Finalist
Selected among the top innovations in AI‑driven building automation.
Innovation Award for Intelligent Building Control
Awarded under the “Digitalization” category for a project controlling HVAC at Gelsenwasser AG headquarters.
Solar Impulse Efficient Solution Label
Certified by the Solar Impulse Foundation as a sustainable, energy‑saving AI HVAC solution.
Product description
DABBEL AI – Autonomous HVAC Control System is a cutting-edge software solution designed to revolutionize the way buildings manage their heating, ventilation, and air conditioning (HVAC) systems. By leveraging artificial intelligence (AI) algorithms, DABBEL AI autonomously predicts indoor comfort conditions and dynamically adjusts HVAC settings in real time, optimizing energy use while ensuring occupant comfort.
The system seamlessly integrates with a building's existing management system, eliminating the need for additional hardware and enabling quick and easy implementation in both new and legacy buildings. Through self-learning algorithms that adapt to user behavior, weather forecasts, and real-time data, DABBEL AI can achieve up to a 40% reduction in HVAC energy consumption.
Facility managers benefit from transparent dashboards that provide insights into energy usage, cost savings, and carbon emissions reductions. DABBEL AI's continuous optimization capabilities help drive down operational costs and contribute to a more sustainable built environment.
Deployed in various commercial and educational buildings across Europe, DABBEL AI has proven to be a game-changer in the realm of climate-resilient smart buildings, offering a scalable and effective solution for reducing environmental impact and enhancing operational efficiency.
Key characteristics and environmental benefits
- Autonomous HVAC control through AI algorithms
- Real-time prediction and adjustment of heating, cooling, and ventilation settings
- Up to 40% reduction in HVAC energy consumption
- Self-learning algorithms that adapt to user behavior and external factors
- No additional hardware required for implementation
- Transparency and reporting dashboards for facility managers
- Easy integration in both new and legacy buildings
- Continuous optimization for cost savings and carbon emissions reductions
- Proven effectiveness in office buildings, schools, and universities
- Enhanced occupant comfort and sustainability outcomes
About the Company
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