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intelligent Building Energy Assets Control for Comfort, Energy and Flexibility Optimisation

Project description

Innovative building management for energy optimisation

Digitalisation, advanced engineering and sophisticated data analytics techniques can improve building management through innovative business models. The EU-funded iBECOME project will increase intelligence, decarbonisation and decentralisation of the energy system by transforming building and operation data into products that can be profitable in the innovative business framework. Emerging technologies and advanced data analytics techniques will be used to demonstrate the functionality and viability of a virtual building management system platform, which can disrupt the market by enabling optimised energy and comfort performance, problem solving and adaptability of buildings and facilities. A calibrated physics-based simulation model, coupled with the building’s smart hardware equipment, will permit precise predictive control for energy and comfort optimisation, adaptability improvement, and accurate measurement and verification for both designing and implementing energy conservation measures and demand response.

Objective

iBECOME both anticipates and augments the digitalization, decarbonization and decentralization of the energy system. By utilizing engineering fundamentals tools and sophisticated data analytics techniques it processes and transforms building and operational data into commodities that can be monetized through the offering of energy services in the framework of innovative business models. Particularly, iBECOME will demonstrate the functionality and viability (technical and economical) of a virtual BMS platform deployed as a SaaS solution that can optimise the energy performance, comfort conditions and flexibility potential of buildings and facilities while allowing 3rd parties to interconnect for providing other energy or non-energy related services. The vBMS will utilise a calibrated physics-based simulation model to allow accurate predictive control for energy and comfort optimisation, flexibility maximisation and precise M&V for both implemented Energy Conservation Measures (ECMs) and Demand Response (DR)

Call for proposal

H2020-LC-SC3-2018-2019-2020

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Sub call

H2020-LC-SC3-EE-2019

Coordinator

IES R&D
Net EU contribution
€ 247 187,50
Address
CASTLEFORBES HOUSE, CASTLEFORBES ROAD
Dublin 1
Ireland

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Ireland Eastern and Midland Dublin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 353 125,00

Participants (10)