Ziel
A critical challenge for electricity Smartgrids is to optimise Distribution System Operators’ (DSO) ROI & avoid grid instabilities with ever increasing Renewable Energy Sources. ADMS will continuously monitor the dynamic state of networks & potential grid instability right to the LV grid-edge. It will disruptively change how Europe’s 2,400 DSOs manage & control their networks to improve network stability by 20% & grid capacity by 25%, reduce networks outages duration & customer losses by 20% & enable 25% more renewable connections, to help achieve their 2020 carbon reduction targets. The aim is a TRL9 operational product on the market, feeding into Altea’s global presence & commercial channels, within 3 years from the start of this FTI project. This Innovation phase follows-on from the very successful H2020-SMEINST-1-2014 feasibility project (GA 673607) that identified a huge market & opportunity. ADMS will seamlessly integrate MAC’s mass deployable, low-cost network monitoring solutions (patented Flexible Magnetic sensors, micro Phasor Measurement Units (mPMU) & LV Network monitoring) & Gridhound’s innovative patented data-driven Artificial-Neural-Networks-based Advanced Distribution Automation (ADA) monitoring system. These will be productised by RWTH to meet the IEC61850 substation automation standard & mPMU enhanced with the patented TFT-WLS algorithm to meet the IEEE C37.118-1 standard. All components are TRL6/7. This project will fast-track integration & productisation to a TRL8 innovative prototype to pilot/operate/validate at 4 diverse DSO reference sites over 12 months with Alliander, ENEL, ESB & SPEN in DE,IT, IE,UK. Based on a market analysis & ongoing feedback from the pilots, the project will disseminate ADMS to potential customers & business collaborators through various media & 2 specific events, & develop/validate a Business Plan to commercially deploy a TRL9 ADMS. €36M sales from a potential market of €0.5BM & 3700% ROI are forecast over 7 years.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energy
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringpower engineeringelectric power distribution
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-FTIPilot-2016-1
Finanzierungsplan
IA - Innovation actionKoordinator
52062 Aachen
Deutschland