PREMISES: AI-Driven HVAC Optimization to Enhance SRI and Sustainability

The PREMISES project is revolutionizing energy efficiency by integrating AI-driven predictive maintenance into HVAC systems, with a strong focus on boosting Smart Readiness Indicator (SRI) scores. By leveraging AI and IoT technologies, PREMISES optimizes energy consumption, improves comfort, and enhances operational efficiency. The project is designed for easy integration with existing Building Management Systems (BMS), making it scalable across various sectors. PREMISES targets cost reduction through lower maintenance expenses and extended system lifespans, providing a rapid return on investment and helping buildings meet regulatory compliance standards.

AI and IoT technologies are at the heart of PREMISES’ approach to improving SRI scores. The project employs AI algorithms to make real-time adjustments to HVAC systems, minimizing energy waste and enhancing overall performance—key factors in SRI evaluation. IoT devices continuously collect and analyze data to provide actionable insights for building managers, ensuring optimal operation. Seamless integration with BMS ensures that the buildings remain interoperable and future-proof, driving significant improvements in energy efficiency and smart capabilities.

In terms of sustainability, PREMISES is contributing to the construction sector by reducing energy consumption and carbon footprints through smarter, more efficient HVAC operations. The project’s focus on retrofitting older buildings allows for the widespread adoption of smart technologies without extensive renovations. By extending the lifespan of infrastructure and improving energy efficiency, PREMISES supports the shift toward more resilient, sustainable, and efficient buildings, aligning with global sustainability goals while making these advancements accessible to a broader market.