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Reference Number SSET203
Title Thames Valley Vision
Status Completed
Energy Categories OTHER POWER and STORAGE TECHNOLOGIES (Electricity transmission and distribution) 45%;
OTHER CROSS-CUTTING TECHNOLOGIES or RESEARCH (Environmental, social and economic impacts) 10%;
Research Types Applied Research and Development 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Systems Analysis related to energy R&D (Other Systems Analysis) 40%;
Sociological economical and environmental impact of energy (Policy and regulation) 30%;
Sociological economical and environmental impact of energy (Consumer attitudes and behaviour) 30%;
Principal Investigator Project Contact
No email address given
Scottish and Southern Energy plc
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 January 2012
End Date 01 March 2017
Duration ENA months
Total Grant Value £29,514,900
Industrial Sectors Power
Region Scotland
Investigators Principal Investigator Project Contact , Scottish and Southern Energy plc (100.000%)
Web Site
Objectives The project will evaluate solutions including: A new network and planning environment Industrial and Commercial and Small and Medium sized Enterprises (SMEs) automated demand side response Low Voltage (LV) static voltage control Street level energy storage A range of communications solutions Additionally the project will incorporate learning from other projects from GB and worldwide. TVV will deliver new commercial agreements, procedures, policies and will inform national standards. It will disseminate learning through targeted communication and our low carbon community advisory centre. Ultimately, TVV will enable DNOs to avoid 5bn of network reinforcement through the involvement of all customers groups and a comprehensive understanding of networks.
Abstract Thames Valley Vision (TVV) will revolutionise the way in which DNOs utilise their existing networks. This project is a complete solution that will allow us to anticipate, understand and support behaviour change in individuals, small businesses and larger companies to help us manage our networks more effectively as GB moves towards a low carbon economy. Building on the techniques developed for supermarket loyalty schemes, TVV will use data intelligently to identify and predict network stress points in the short, medium and long term in order that DNOs can make more informed decisions. TVV proposes that a better understanding of and more active role for electricity consumers can minimise the investment required to maintain secure distribution networks that meet customer needs.
Publications (none)
Final Report (none)
Added to Database 14/12/22