This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.886906
An eco-friendly, Integrated Facility and Energy Management Platform for continuous reduction of infrastructure operating cost, driven by AI
Smart building management conserves energy
Commercial buildings account for nearly half of the energy consumed in the EU. They are also responsible for 36 % of CO2 emissions. The situation could be reversed by facilities management software that permits online management of repair and maintenance actions. However, existing building management systems are not based on advanced technology.
As a consequence, they increase maintenance costs per building while being unable to detect risks and defend against data breach attacks. The EU-funded Yodiwo FEMP project is an IoT-based platform that intends to perfect facility management systems and increase the energy efficiency of commercial buildings. The system applies advanced data analytics along with AI and machine learning for better predictive maintenance, energy efficiency and increased comfort for tenants.
Commercial buildings are responsible for approximately 40% of energy consumption and 36% of CO2 emissions in the EU alone. With the use of better and energy efficient Facility Management Systems there is a potential of reducing the EU’s total energy consumption up to 6% and lowering greenhouse emissions by about 5% . Currently there is a lack of an intelligent and context-aware BMS which can monitor as well as manage the buildings efficiently in real time. However the use of current Building Management System can increase the maintenance cost up to €100,000 per building, lacks the integration of advanced data analytics as well as AI to identify risk conditions for people and building equipment, have limited real-time response capabilities and are vulnerable to privacy and data breach attacks.
Yodiwo FEMP is an IoT based platform which aims to optimize facility management operations and improve energy efficiency of building equipment. Yodiwo FEMP uses AI/ML algorithms and advanced data analytics to provide predictive maintenance, safety and device optimization, automation to increase energy efficiency and increase the comfort level of occupants. During the phase 1 project, a go-to-market strategy and a supply chain will be established, as well as further development plan will be drafted. The innovation project will allow for the finalization of the Yodiwo FEMP platform and the scale-up the platform capability with end-users and performing in-field demonstration with initial customers.
- YODIWO ANONYMI ETAIREIA SCHEDIASISOLOKLIROMENON KYKLOMATON
Start date: 1/12/2019 - End date: 31/03/2020