Danica Greetham at OU energy conference

Dr Danica Greetham presented on the development of the low voltage network at the annual Open University energy conference in April 2014. The conference showcases the work being carried out by a number of universities including DeMontfort, Warwick, Technical University of Delft, Heriot Watt, Cranfield, The open university and industrial organisations such as FSK Technology and the National Grid.

The conference covered a wide range of diverse topics including energy storage, energy in buildings, smart grids and electric vehicles. It also covered major long term concerns such as agent based modelling of fuel panics and  peak oil. Roger Bentley from the University of Reading kicked off the conference with a talk on peak oil and other global energy limits. The full selections of papers can be accessed from the link under things to do now on the right hand side.

Dr Danica Greetham presented on long term scenarios forecasting which is part of the work being developed as part of the New Thames Valley Vision project. The presentation looks at the work done to understand and anticipate consumer behaviour on the short, medium and long term and its impact on the low voltage network.  In particular there was a focus on the work done to predict the future evolution of the low voltage network with the increase deployment of heat pumps, photovoltaics, electric vehicles and energy storage. This was done by modelling each household as an individual agent and was implemented in the software Repast Symphony. The uptake of electric vehicles, photovoltaics and heat pumps was based on four DECC scenarios for these technologies and took into consideration physical constraint. The four scenarios chosen were classified as Scenario 4 lowcarbon reduction (more energy purchased from abroad), Scenario 1 medium carbon reduction (high abatement through low carbon heat), Scenario 2 medium carbon reduction (high abatement through transport and bio-energy) and Scenario 3 high carbon reduction (focus on high electrification). Individual substation level streets were analysed with agent based modelling for each of the scenarios and the impact that this would have on the operation of the low voltage network was assessed for the year 2022.  The analysis showed that initially there would be little impact of electric vehicles on peak demand within an area up to 2018. However by 2022 there would be considerable impact on the low voltage network with night time peaks becoming the norm. This shows that there will be a requirement for managing peaks in demand caused by electric vehicles. Further work is being carried out on the anticipated impact of photovoltaics, energy storage and heat pumps. The presentation can be found at: Long term scenarios forecast

Additionally all the presentations from the OU energy conference can be found at link on the right hand side.

Things to do now

Check out all the papers from the OU conference

OU energy conference 2014


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