Cool Data
The Cool Data project aims to develop a flexible cooling and storage system, powered by artificial intelligence, for small and medium-sized data centers with up to 500 servers. The system stores renewable energy when there is plenty of it while allowing surplus heat from the servers to be used for district heating. Center Denmark's platform enables the project partners to test and demonstrate the project solutions and also hosts the research models and software.
Acronym: Cool Data
Participants: 8 participants
Duration: 3 years, kick-off Sep 2020
Funding: Funded by Danish Innovation Fund with 13 mil DKK and a total budget of 18.3 mil DKK.
Read more about the project here: https://cool-data.dtu.dk/
Flexible Energy Denmark
Center Denmark is a key partner in the Flexible Energy Denmark project. The project focus on digitalization and making energy consumption flexible. Digital solutions will unlock flexibilities in the Living Labs. In the project the basic principles of a data lake with AI-tools and solutions for the participating Living Labs are developed.
Acronym: FED
Participants: 28 participants
Duration: 4 year, kick-off April 2019
Funding: Funded by Danish Innovation Fund with 30 mio DKK and a total budget of 44 mio DKK.
Read more about the project her: www.flexibleenergydenmark.dk
Top-Up
TOP-down energy projects as catalysts for bottom-UP local energy initiatives.
Funded by ERA-Net and Innovation Fund Denmark
Read more on: https://www.top-up.info/
CITIES
CITIES is a running project and the Center Denmark platform will host many of the solutions.
Read more about CITIES here: https://smart-cities-centre.org/
The Centre is supported by Innovation Fund Denmark
Energiproduktionen fra sol og vind stiger og falder mere end traditionelle energikilder, da vejrforholdene skifter.
I takt med at der i fremtiden skal integreres mere vedvarende energi, vil effekten af den fluktuerende produktion stige betydeligt. Det udfordrer både forsyningssikkerheden og stabiliteten i energiforsyningen.
Ebalance-plus project aims to increase energy flexibility of distribution grids with enhanced prediction algorithms, test new business models to increase market participation, support energy prosumers and electric operators with tailored end-user’s interfaces.
For more information, see web page: Here
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°864283