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

Project Information

iBECOME

Grant agreement ID: 894617

DOI 10.3030/894617

Project closed

EC signature date 12 May 2020

Start date 1 June 2020

End date 31 May 2024

Funded under

• SOCIETAL CHALLENGES - Secure, clean and efficient energy

Total cost € 4 920 941,24

EU contribution € 3 724 497,00

Coordinated by

IES R&D
Ireland

Deliverables

Documents, reports (10)

Review and analysis of market conditions

Analysis of the relevant market structures potential and competition in the field of virtual BMS offered in the form of SaaS The analysis will differentiate between the different services energy comfort and flexibility optimisation FDD MV other nonenergy services customer segments AEC ESCO FM CRE business models SaaS EaaS B2C B2B B2B2C and fields of applications retrofits intelligent buildings B2G The European market will be analysed in terms of size maturity and potential

D7.3 Training Planning and Activities Report 1st Draft

Report on the training activities undertaken to inform and educate the (i) beneficiaries (occupants, employees, owners, tenants) in the demo sites of the iBECOME vBMS capabilities and expected impact and of its interfaces and how-to-use; (ii) iBECOME partners in the use of the iBECOME vBMS especially during the demonstration of its piloting operation in the four sites and (iii) the external stakeholders.

D7.1 Communication and dissemination plan 2nd draft

Collection of all dissemination activities, impact conclusions and the plan for further dissemination and communication beyond the project life.

Methodology for determination of virtual sensors for comfort

Determination of metrics that better describe and characterise thermal and visual comfort and IAQ conditions and description of a methodology based on Machine Learning techniques to easily calculate them through proxy variables either monitored onsite physical sensors or derived from dynamic building simulations output virtual sensors

Stakeholders' contractual agreement and EPCs templates

Description of the working arrangement between the stakeholders involved in the provision of services through the iBECOME vBMS including contractual collaboration template stipulating their common line of action, their roles and responsibilities implementing the iBECOME vBMS and the subsequent services and their reimbursement sharing from the achievement of performance improvement and operational cost savings. Additionally, the agile and enhanced EPC templates will be described and detailed that will support easy access to financing and will provide the legal basis for the collaboration between all the involved stakeholders (ESCOs and AEC companies, aggregators, building owners and tenants, FM and CRE companies, financial institutions, hardware and software vendors) and determine how they will interact.

Software and hardware architecture for bidirectional integration of vBMS

Specification of the iBECOME vBMS software and hardware and cloud architecture to achieve bidirectional integration twoway communication and interoperability with onsite BMS and IoT sensors and controllers

Automation of dynamic building simulation model calibration and ROM generation

Description of the processes for automating both the calibration of dynamic building simulation models and the generation of Reduced Order Models of buildings from the calibrated ones

D7.1 Communication and dissemination plan 1st draft

Collection of all dissemination activities impact conclusions and the plan for further dissemination and communication beyond the project life

Review of regulatory framework

Description of the regulatory framework including laws regulations codes standard Addressment of all issues relating to data privacy and cybersecurity legislation and best practice

Methodology for determination of virtual sensors and meters for flexibility

Determination of metrics that better describe and characterise flexibility and its controllability and predictability features and description of a methodology based on Machine Learning techniques to easily calculate them through proxy variables either monitored onsite physical sensors or derived from dynamic building simulations output virtual sensors

Websites, patent fillings, videos etc. (2)

iBECOME Branding, Website and Social Media

Brand logo and identity of the iBECOME project in its Web and Social Media presence

D7.4 1st Training Video

A first training video on the integration and interconnectivity of the iBECOME vBMS with on-site equipment and with 3rd party platforms and a second video on the core iBECOME vBMS services.

Publications

Other (9)

D7.8 – D7.1 iBECOME Communication and Dissemination Plan

Author(s): Kelly, Louise; McCormack, David; Power, Mark
Published in: Issue 14, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473298

D1.1 - Methodology for determination of virtual sensors for comfort

Author(s): Naughton, Kate; Bernaud, Pierre; Tardioli, Diego
Published in: Issue 4, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473586

iBECOME Poster

Author(s): Ntimos, Dimitrios; Power, Mark
Published in: Issue 3, 2022
Publisher: Zenodo
DOI: 10.5281/zenodo.5906155

D7.2 iBECOME Branding, Website and Social Media

Author(s): Ntimos, Dimitrios; Kelly, Louise; Stano, Michele
Published in: Issue 15, 2020
Publisher: Zenodo
DOI: 10.5281/zenodo.10473515

D6.2 – Review of regulatory framework

Author(s): Bernaud, Pierre; Di Gallo, Martina; Cinquin-Lapierre, Benjamin
Published in: Issue 6, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473426

D6.1 – Review and analysis of market conditions

Author(s): Rattazi, Diego; Ardizzone, Edoardo; Di Gallo, Martina; Buffa, Simone; Cinquin-Lapierre, Benjamin; Flanagan, Robert; Mangili, Stefano
Published in: Issue 9, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473360

D2.2 – Automation of dynamic building simulation model calibration and ROM generation

Author(s): Naughton, Kate; Regnier, Antoine
Published in: Issue 2, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473313

D2.1 – Software and Hardware Architecture for Bidirectional Integration of vBMS

Author(s): Dino Di Gregorio, Enzo; Martinelli, Francesco; Ntimos, Dimitrios; Zhang, Jason
Published in: Issue 1, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10473447

D1.2 - Methodology for determination of virtual sensors and meters for flexibility

Author(s): Naughton, Kate; Flanagan, Robert; Conquin Cabrera, Adalberto
Published in: Issue 1, 2021
Publisher: Zenodo
DOI: 10.5281/zenodo.10471278

Conference proceedings (2)

Using CO2 Concentration level and Motion IoT Sensors to Generate Internal Gains Profiles and Use Them in Buildings Energy Modelling to Create Physics-Based Digital Twins

Author(s): Khalid Hassan, Integrated Environmental Solutions Dimitris Ntimos, Integrated Environmental Solutions
Published in: CIBSE Technical Symposium, UK April 2023, 2023
Publisher: CIBSE Technical Symposium, UK April 2023
DOI: 10.13140/rg.2.2.35237.68327

An Innovative Modelling Approach Based on Building Physics and Machine Learning for the Prediction of Indoor Thermal Comfort in an Office Building

Author(s): Giovanni Tardioli; Ricardo Filho; Pierre Bernaud; Dimitrios Ntimos
Published in: Environmanetal Sciences Proceedings, 2021, Page(s) 25
Publisher: MDPI
DOI: 10.3390/environsciproc2021011025

Peer reviewed articles (1)

An Innovative Modelling Approach Based on Building Physics and Machine Learning for the Prediction of Indoor Thermal Comfort in an Office Building

Author(s): Giovanni Tardioli, Ricardo Filho, Pierre Bernaud, Dimitrios Ntimos,
Published in: Buildings: 10th Anniversary, Issue 12, no. 4 Buildings: 10th Anniversary, 2022, Page(s) 475, ISSN 2075-5309
Publisher: MDPI Buildings
DOI: 10.3390/buildings12040475