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Reference Number NIA_NGET0095
Title Visualization of Renewable Energy Models
Status Completed
Energy Categories Renewable Energy Sources(Solar Energy, Photovoltaics) 25%;
Renewable Energy Sources(Wind Energy) 25%;
Other Power and Storage Technologies(Electricity transmission and distribution) 50%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 50%;
PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%;
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Project Contact
No email address given
National Grid Electricity Transmission
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 October 2013
End Date 01 October 2017
Duration 48 months
Total Grant Value £120,000
Industrial Sectors Power
Region London
Programme Network Innovation Allowance
 
Investigators Principal Investigator Project Contact , National Grid Electricity Transmission (100.000%)
Web Site http://www.smarternetworks.org/project/NIA_NGET0095
Objectives The objective of the project is to develop visualization approaches that will enable complex data to be readily translated in useful knowledge about renewable generation impacts on system operation in a visually intuitive way. The success of the project is based on the delivery of a final report which demonstrates the recommended visualisation implementation(s) so that it can be operated by National Grid personnel.
Abstract The move towards decarbonisation is changing the energy mix in the UK dramatically as the increased penetration of renewables take effect. Wind and Solar energy in particular is expected to play a large role in providing energy to the country. As an energy source it faces certain challenges that need to be addressed to ensure its positive contribution, a particular challenges is the accurate prediction of its energy output, especially under particular weather conditions. This is a complex process both in terms of understanding the complex behaviours and interactions of the inputs in the renewable energy models and presenting the output information in an effective manner that enable operational staff to make the correct decisions. As uncertainty is a large factor of this, a particular visualisation challenge that needs addressing is how to effectively display this variability without losing the underlying information. Research and Development This project will deliver a series of Work Packages (WP) with the overall aim of developing new and innovative visualisation techniques and improve existing techniques that will be utilised by both the energy forecasting team and the control room within National Grid. The visualisations for the energy forecasting team will help them better understand the inputs to their renewable models. For the Control Room understanding the outputs of the various renewable models in terms of energy will assist them in making more effective decisions in real time, which could ease the facilitation to a low carbon economy.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above
Publications (none)
Final Report (none)
Added to Database 17/12/18