Activities per year
Project Details
Description
This project imagines a future world empowered by access to discoverable, reliable, ubiquitous real-time data from buildings, such that digital solutions can rapidly scale and where energy efficiency knowledge can be widely encapsulated and disseminated within highly accessible software ‘Applications’. Applications, in this context, are conceived as easy-to-configure and instantiate software micro-services, built on top of a common software infrastructure that facilitates data access under well-defined application program interfaces (APIs), deployed on edge-computing devices or the cloud. Such Applications are somewhat analogous to the ‘Apps‘ we use on personal mobile devices.
By embracing modern IT approaches and advances in digital technology, the project aims to overcome barriers to the provision of energy efficiency software services, and reduce reliance on manual/onsite service delivery.
The project will investigate the potential of Software-as-a-Service innovation and intelligent data-driven building automation, in order to reduce energy use in buildings and enable buildings to participate as distributed energy resources in support of increased use of variable renewable electricity sources.
The project objectives are to:
provide the knowledge, standards, protocols and procedures for low-cost high-quality data capture, sharing and utilization in buildings
develop a control-oriented building modelling framework that enables testing, development and assessment of the impact of alternative building HVAC control strategies in a digital environment
develop building energy efficiency software Applications that can be used and ideally commercialized for reducing energy use in buildings
drive the adoption of results through case studies, business model innovation and results dissemination.
Participants: Syddansk Universitet, DTU, Aalborg Universitet.
The project is supported by EUDP.
By embracing modern IT approaches and advances in digital technology, the project aims to overcome barriers to the provision of energy efficiency software services, and reduce reliance on manual/onsite service delivery.
The project will investigate the potential of Software-as-a-Service innovation and intelligent data-driven building automation, in order to reduce energy use in buildings and enable buildings to participate as distributed energy resources in support of increased use of variable renewable electricity sources.
The project objectives are to:
provide the knowledge, standards, protocols and procedures for low-cost high-quality data capture, sharing and utilization in buildings
develop a control-oriented building modelling framework that enables testing, development and assessment of the impact of alternative building HVAC control strategies in a digital environment
develop building energy efficiency software Applications that can be used and ideally commercialized for reducing energy use in buildings
drive the adoption of results through case studies, business model innovation and results dissemination.
Participants: Syddansk Universitet, DTU, Aalborg Universitet.
The project is supported by EUDP.
Status | Active |
---|---|
Effective start/end date | 01/06/2020 → 30/06/2024 |
Keywords
- smart building
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Activities
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IEA EBC Annex Workshop on Smart Building-to-Grid Services and Applications (BuildSys 2023)
Hicham Johra (Organizer)
14 Nov 2023Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
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IEA EBC Annex 81 expert meeting November 2023
Hicham Johra (Participant)
13 Nov 2023 → 14 Nov 2023Activity: Attending an event › Organisation or participation in workshops, courses, seminars, exhibitions or similar
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IBPSA Building Simulation 2023
Hicham Johra (Participant)
4 Sept 2023 → 6 Sept 2023Activity: Attending an event › Conference organisation or participation
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Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
Li, H., Johra, H., Pereira, F. D. A., Hong, T., Dreau, J. L., Maturo, A., Wei, M., Liu, Y., Saberi-Derakhtenjani, A., Nagy, Z., Marszal-Pomianowska, A., Finn, D., Miyata, S., Kaspar, K., Nweye, K., O'Neill, Z., Pallonetto, F. & Dong, B., 1 Aug 2023, In: Applied Energy. 343, 121217.Research output: Contribution to journal › Review article › peer-review
Open AccessFile19 Citations (Scopus)13 Downloads (Pure) -
Data-Driven Smart Buildings: State-of-the-Art Review
Candanedo, J. (ed.), Blum, D., Chen, Z., Fierro, G., Gori, V., Johra, H., Madsen, H., Marszal-Pomianowska, A., O'Neill, Z., Pradhan, O., Rovas, D., Sacco, F., Stensson, S., Thilker, C., Vallianos, C., Wen, J. & White, S., Sept 2023, CSIRO. 103 p.Research output: Book/Report › Report › Research
Open Access -
IEA EBC Annex 81 – Data-Driven Smart Buildings: Building-to-Grid Applications
Johra, H., Li, H., de Andrade Pereira, F., Nweye, K., Chamari, L. & Nagy, Z., Sept 2023, Proceedings of Building Simulation 2023: 18th Conference of International Building Performance Simulation Association. Shanghai, China, 4-6 September 2023. International Building Performance Simulation Association, Vol. 18. p. 2537-2544 8 p. 1325. (Building Simulation Conference proceedings, Vol. 18).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile281 Downloads (Pure)