Projects per year
Project Details
Description
FED is funded by Innovation Foudation Denmark with a grant of 30 mill. kr (AAU grant on 7 mill. kr.). FED is lead by EWII A/S and includes DTU, SDU, AU and 17 companies as partners.
FED aims to create the next generation of intelligent, integrated energy systems based on Big Data and AI, by providing FLEXIBILITY for the efficient integration of wind and solar power, and pave the way for the green transition by:
1) Establishing Denmark's first Data, AI and IoT-based digital infrastructure for flexible energy systems, that collects, validates, integrates, shares and utilizes data across sectorial and company boundaries, while preserving user privacy.
2) Establishing a national platform (Uni-Lab.dk) for collecting energy related data on various levels, including real-time data, and testing new SOLUTIONS.
3) Initiating a Data Intelligent Flexible Energy Business Ecosystem of Big Data/AI services, apps, and business models for energy operators and technology providers, to support the green energy transition and provide significant business growth and export opportunities for Denmark.
4) Developing TOOLS that provide the foundation for flexible energy SOLUTIONS to enable the FLEXIBILITY in integrated energy systems.
5) FED provides a mathematical coherent definition of “flexibility”, FLEXIBILITY models and methods to provide balancing and services to energy grids.
6) Establishing energy FLEXIBILITY functions that will be used for optimization, control and IoT services.
7) The FLEXIBILITY functions are also used for estimating the so-called FLEXIBILITY Index. This index can be used for characterizing the FLEXIBILITY of, e.g., buildings, DH systems, communities and smart cities.
8) Providing methodologies based on control or market principles, such that the FLEXIBILITY potentials can be fully exploited on an aggregated level in future smart energy systems (next generation ancillary services).
9) Testing the SOLUTIONS within the connected LIVING LABS (Uni-Lab.dk).
10) FED offers this platform in the context of the FED FOUNDATION (WP6) to industry and Uni-Lab.dk partners to develop and innovate PRODUCTS. Furthermore, the platform can be used for making SOLUTIONS market-ready for large-scale deployment and export.
FED aims to create the next generation of intelligent, integrated energy systems based on Big Data and AI, by providing FLEXIBILITY for the efficient integration of wind and solar power, and pave the way for the green transition by:
1) Establishing Denmark's first Data, AI and IoT-based digital infrastructure for flexible energy systems, that collects, validates, integrates, shares and utilizes data across sectorial and company boundaries, while preserving user privacy.
2) Establishing a national platform (Uni-Lab.dk) for collecting energy related data on various levels, including real-time data, and testing new SOLUTIONS.
3) Initiating a Data Intelligent Flexible Energy Business Ecosystem of Big Data/AI services, apps, and business models for energy operators and technology providers, to support the green energy transition and provide significant business growth and export opportunities for Denmark.
4) Developing TOOLS that provide the foundation for flexible energy SOLUTIONS to enable the FLEXIBILITY in integrated energy systems.
5) FED provides a mathematical coherent definition of “flexibility”, FLEXIBILITY models and methods to provide balancing and services to energy grids.
6) Establishing energy FLEXIBILITY functions that will be used for optimization, control and IoT services.
7) The FLEXIBILITY functions are also used for estimating the so-called FLEXIBILITY Index. This index can be used for characterizing the FLEXIBILITY of, e.g., buildings, DH systems, communities and smart cities.
8) Providing methodologies based on control or market principles, such that the FLEXIBILITY potentials can be fully exploited on an aggregated level in future smart energy systems (next generation ancillary services).
9) Testing the SOLUTIONS within the connected LIVING LABS (Uni-Lab.dk).
10) FED offers this platform in the context of the FED FOUNDATION (WP6) to industry and Uni-Lab.dk partners to develop and innovate PRODUCTS. Furthermore, the platform can be used for making SOLUTIONS market-ready for large-scale deployment and export.
Acronym | FED |
---|---|
Status | Finished |
Effective start/end date | 01/04/2019 → 31/03/2023 |
Funding
- Innovation Fund Denmark: DKK6,400,000.00
Keywords
- Flexible Energy, BIG DATA, AI, CPS, Living Labs
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Projects
- 1 Active
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FEVER: Flexible Energy Production, Demand and Storage-based Virtual Power Plants for Electricity Markets and Resilient DSO Operation
Skou, A., Pedersen, T. B., Skov, M. B., Chakraborty, N., Jensen, R. H. & Raptis, D.
01/02/2020 → 31/07/2023
Project: Research
Research output
- 1 Journal article
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Machine learning-based algorithms to estimate thermal dynamics of residential buildings with energy flexibility
Cibin, N., Tibo, A., Golmohamadi, H., Skou, A. & Albano, M., 15 Apr 2023, In: Journal of Building Engineering . 65, 8, 105683.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
Press/Media
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Projekt skal udnytte Danmarks bæredygtige energi bedre og mere fleksibelt
17/04/2023
1 item of Media coverage
Press/Media: Press / Media
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Første data-sø er på plads
Torben Bach Pedersen, Hamdi Ben Hamadou & Christian Thomsen
24/08/2021
1 item of Media coverage
Press/Media: Press / Media
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Danmarks første data-sø fyldt er en realitet
Torben Bach Pedersen, Christian Thomsen & Hamdi Ben Hamadou
24/05/2021 → 26/05/2021
2 items of Media coverage
Press/Media: Press / Media