There will be 1 million electric vehicles on Turkey's roads by 2030, and studies show that electricity demand by 2030 will be met if the policies...
Flexibility and Energy Management part of solving Europe’s energy crisis
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News Articles
Video: Flexibility in the Swiss alps
Watch researcher Jessen Page, HES-SO, explain how his group develops flexibility services for the local grid owner.
FlexiGrid presented at the PSCC 2022 conference
Local flexibility services reduce the transmission system’s operation and investment costs even in the absence of TSO-DSO coordination, as long as local flexibility was procured by the DSOs to reduce the peak power cost of their distribution grids.
A typical flexibility service procurement deal
Energo-Pro, one of the three biggest DSOs in Bulgaria, will be choosing around 20 participants producers, prosumers and consumers, connected to its network. We have listed the typical stages of a flexibility deal.
Smart meters make Bulgarian energy consumers flexible
Consumers of electricity can provide important flexibility to the power grid during peak-hours. By connecting a smart meter the consumers get access to a flexibility market provided by FlexiGrid.
Webinar in Swedish: Flexible grids, obstacles and solutions
Horizon 2020 projects FlexiGrid and Coordinet collaborate in this webinar about the major obstacles that flexibility markets face. This webinar is in Swedish.
FlexiGrid’s Swedish demo site
This spring we started the demonstration phase at FlexiGrid’s demo site at Chalmers University of Technology in Gothenburg, Sweden. The site is owned by Akademiska Hus and developed by them in collaboration with Chalmers. In the video Chalmers researcher David Steen gives an update.
Eflex – the trading platform
Learn about the Eflex platform, FlexiGrid’s trading platform enabling flexibility for the power grid.
Watch our webinar about congestion forecasting
Watch our webinar about congestion forecasting. In this webinar the Horizon 2020 projects FlexiGrid and BD4OPEM collaborate and present their findings regarding congestion forecasting.