Yodiwo FEMP | An eco-friendly, Integrated Facility and Energy Management Platform for continuous reduction of infrastructure operating cost, driven by AI.

Summary
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.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/886906
Start date: 01-12-2019
End date: 31-03-2020
Total budget - Public funding: 71 429,00 Euro - 50 000,00 Euro
Cordis data

Original description

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.

Status

CLOSED

Call topic

EIC-SMEInst-2018-2020

Update Date

27-10-2022
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Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.0. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Cross-cutting calls
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1
H2020-EU.2.3. INDUSTRIAL LEADERSHIP - Innovation In SMEs
H2020-EU.2.3.0. INDUSTRIAL LEADERSHIP - Innovation In SMEs - Cross-cutting calls
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.0. Cross-cutting call topics
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1