iBECOME

INTELLIGENT BUILDING ASSET CONTROL FOR COMFORT, ENERGY AND FLEXIBILITY OPTIMISATION


















What is iBECOME?

iBECOME is a project that offers a paradigm shift in building energy efficiency by utilising IoT big data and advanced analytics. The novel cloud-based solution will utilise a physics-based dynamic simulation to deliver a suite of energy and non-energy services such as comfort and flexibility optimisation, automated fault detection and diagnostics, demand response and 3rd party applications. iBECOME will also look to unlock the next stage of energy efficiency by enabling deep building renovation and measurement & verification (M&V) in novel business models. ​

Monitoring

On-site IoT sensors and smart meters will be feeding real time information of the building along with data from energy markets and weather conditions

Analytics, Insights & Advisory Control

Data cloud storage and analysis, visualisation of performance metrics, display of insights and suggestions for manual interventions

Forecasting Toolbox

Calibrated physics-based energy model combined with machine learning algorithm predictions, using real data from the building to forecast the future building and facility conditions

Fault Detection, Diagnosis and Maintenance

Using the predictions of the forecasting toolbox for Fault Detection and Diagnosis and Predictive Maintenance

Optimisation

Using the predictions of the forecasting toolbox to enable energy savings through energy and comfort optimisation of building’s energy systems.

Retrofit Design & Implementation

Using the predictions of the forecasting toolbox to desing retrofit interventions and implement them through Measurement and Verification

On-site ICT automated control

The iBECOME vBMS will be automatically controlling on-site BMS or other ICT equipment.

Welfare & Commuting Management

3rd party providers will use the iBECOME vBMS data to enable additional services such as healthcare management and commuting optimisation

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Our Motivation

The main motivation behind iBECOME is the need to address the inefficiencies of existing buildings and facilities either because of underperforming existing BMS or because they are small enough so as to not be equipped with BMS. In such buildings the deployment of the iBECOME solution will allow essential energy savings and comfort improvements at very low cost but also provide the ability to tap into the emerging markets of additional services (e.g. demand response).

 

Our Impact

iBECOME will encompass a simple, high level framework for measuring and/or calculating specific metrics that affect wellness and productivity and according to
the most up-to-date research will project those metrics into accountable, monetizable value of productivity and asset value increase. The big data output, both in granularity and number of variables that iBECOME can generate, allows a very precise characterisation of the indoor built environment and subsequently an accurate representation of its wellness features. 

Our Demonstration Sites

Country Crest, Dublin, Ireland

Country Crest is a manufacturing facility where iBECOME solution will be demonstrated in operational conditions

Helix Building, Glasgow, Scotland

Office building where the iBECOME solution will be demonstrated without any renovations

ASP della Carnia, Udine, Italy

Residential care facility for the elderly and disabled, where iBECOME solution will be demonstrated together with extensive renovations

World Trade Center, Grenoble, France

A business and congress center where iBECOME will be demonstrated together with extensive renovations

Our Latest News

iBECOME & Auto-DAN host workshop for EU Green Week 2022

On May 31st 2022, Horizon 2020 projects iBECOME & Auto-DAN collaborated on an online workshop as part of EU Green Week 2022. The workshop titled “Intelligent Buildings supporting energy transition and EU Green Deal” focused on both projects’ policy contributions to the EU Green Deal. The workshop featured various speakers from iBECOME; Dimitrios Ntimos (IES) …

iBECOME & Auto-DAN host workshop for EU Green Week 2022 Read More »

iBECOME host EU Green Week Workshop

On May 31st 2022, Horizon 2020 projects iBECOME & Auto-DAN are collaborating on an online workshop as part of EU Green Week 2022. EU Green Week is an annual opportunity to debate European environmental policy with policymakers, leading environmentalists and stakeholders from Europe and beyond. This year’s edition focuses on the European Green Deal – …

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iBECOME visit CEA and WTC Building in France for Fourth General Assembly

On May 11th and 12th, the iBECOME consortium were finally able to meet in a physical capacity as they gathered for the fourth General Assembly. Project partner CEA hosted the two-day hybrid event at their INES Campus in Chambery. It was a hybrid event with some members on-site while others dialled in from across Europe. …

iBECOME visit CEA and WTC Building in France for Fourth General Assembly Read More »

iBECOME paper published in MDPI Buildings Journal

Our paper “An Innovative Modelling Approach Based on Building Physics and Machine Learning for the Prediction of Indoor Thermal Comfort in an Office Building”, written by Giovanni Tardioli (IES), Ricardo Filho (IES), Pierre Bernaud (CEA) and Dimitrios Ntimos (IES) was published as an open access article in the special 10th anniversary edition of Buildings which …

iBECOME paper published in MDPI Buildings Journal Read More »

“A new generation of instruments and tools to monitor buildings performance” – Webinar

On March 29th 2022, iBECOME featured in a webinar alongside 3 other European projects; SmartBuild4EU, U-CERT and ePANACEA. The webinar was hosted by Leonardo Energy (European Copper Institute). Project coordinator Dimitrios Ntimos from IES R&D represented the iBECOME project during this event. The webinar focused on “A new generation of instruments and tools to monitor …

“A new generation of instruments and tools to monitor buildings performance” – Webinar Read More »

Project Update (M12-M18)

WP1 – IEQ virtual sensors and flexibility determination WP2 – Virtual BMS architecture and technical specifications WP3 – Control functions for innovative energy services WP4 – Demonstration in operational efficiency WP5 – Demonstration in retrofits WP6 – Business model development Work Package 1 Update During the reporting period of this newsletter (M12-M18), Task 1.5 Machine …

Project Update (M12-M18) Read More »

Want to Know More?

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 894617.

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