Projects: Custom Search |
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| Reference Number | NPG_SIF_R3A-FractalFlow | |
| Title | Fractal Flow Alpha R3 | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies (Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 30%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 70%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact Northern Powergrid |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 October 2024 | |
| End Date | 01 April 2025 | |
| Duration | 6 months | |
| Total Grant Value | £570,340 | |
| Industrial Sectors | Power | |
| Region | Yorkshire & Humberside | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , Northern Powergrid |
| Other Investigator | Project Contact , Northern Powergrid (Northeast) Limited Project Contact , Electricity North West Limited Project Contact , National Grid plc |
|
| Industrial Collaborator | Project Contact , Electricity North West Limited Project Contact , Northern Powergrid |
|
| Web Site | https://smarter.energynetworks.org/projects/NPG_SIF_R3A-FractalFlow |
|
| Objectives | ||
| Abstract | Fractal Flow (FF) aims to enhance real-time data access and network visibility for DNOs and NGESO. It will improve the utilisation of Distributed Energy Resources (DERs) and promote low-carbon technologies (LCTs). Following a successful Discovery Phase, the Alpha Phase will involve key stakeholders and new partners to develop a data analytics demonstrator and solution architecture, preparing for Beta developments. Additionally, FF will provide clear visibility of fractal flow to unlock capacity, offer clearer status visibility, and explore the integration of powerful machine learning analysis and targeted data exchange across grid supply points. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 17/09/25 | |