Advanced Dynamic Energy Pricing and Tariffs (ADEPT)

Lead Research Organisation: Brunel University
Department Name: Sch of Engineering and Design

Abstract

This project addresses a crucial research question that must be answered in the near term is How complicated can, or should, a dynamic electricity tariff be? , such that it is accepted by the public and offers clear enhancements and incentives for reduction in energy demand? The 'can' and 'should' reflect the fact that any ubiquitous technical system is (primarily) designed and implemented by experts, but has to be accepted and operated by non-experts. This project looks at how the information potentially available from smart meters may be exploited to the advantage of both the distribution network operator and the customer. We are looking for the best overall outcome in terms of energy demand reduction, not the best 'engineering solution'. The driving forces towards the need for dynamic tariffs are strong: increased embedded generation, the introduction of plug-in electric vehicles, decreasing national generating capacity, further additions of medium and large scale variable generators, and the prospect of short-term load-shedding by suspending low priority consumption within commercial and domestic. This project aims to discover understanding of the whole interacting system. This project will take account of the smart metering and infrastructure options outlined in the recent Government consulation and response. Using High-Performance Computing to provide a scalable solution to large-scale data management for smart metering is especially timely as it addresses one of the main issues that was raised in the consultation. If, as a nation, we are to lower our overall energy demand, we will have to shift from fossil fuels to less carbon intensive supplies and optimise our energy consumption across all possible sources. This may mean that electricity demand may increase. At the same time, there is an imminent crisis in generating capacity (by whatever means), so we have to make significantly better use of the energy and the assets which make up the infrastructure. The meter is the interface between the consumer and the network operator, so in principle, a smart meter could manage and provide all of the information which describes the state of the network at that point at that time. Increasing data availability will bring benefits to both users and controllers - with detailed knowledge system behaviour in near-to-real-time at the lowest operational level, network operators have a better opportunity to balance the system load, and concurrently offer consumers much enhanced mechanisms for reducing their own power demand.

Publications

10 25 50
 
Description This research project investigated and implemented agent based modelling, smart metering communications and analysis of large amounts of data from smart meters. The ADEPT project was led at Brunel University London by Prof Gary Taylor as the director of BIPS and involved collaboration with the UK lead research partner Oxford e-Research Centre, University of Oxford. The project investigated how information potentially available from smart meters can be exploited to the advantage of both distribution network operators and the customers.
Exploitation Route Dr Ioana Pisica who was a Research Fellow on the project is now a Lecturer in Power Systems at Brunel University London and has now actively researching modern optimization techniques for power systems with distributed generation and FACTS devices, machine learning for power systems control, power quality and smart metering.
Sectors Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Energy,Environment

URL http://www.oerc.ox.ac.uk/projects/adept
 
Description ADEPT improved understanding of time-of-use tariffs by examining the whole interacting system by taking account of smart metering and infrastructure options. The meter is the interface between the consumer and the network operator, so in principle, a smart meter could manage and provide much of the information which describes the state of the network at that point at that time. Increasing data availability was shown to bring benefits to both users and controllers - with detailed knowledge system behaviour in near-to-real-time at the lowest operational level, network operators have a better opportunity to balance the system load, and concurrently offer consumers much enhanced mechanisms for reducing their own power demand.
First Year Of Impact 2014
Sector Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Energy,Environment,Retail
Impact Types Societal,Economic,Policy & public services

 
Description FP7 HiPerDNO: High Performance Computing Technologies for Smart Distribution Network Operation
Amount € 6,400,000 (EUR)
Funding ID 248135 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 02/2010 
End 02/2013
 
Description Smart Grid Demonstrators Forum and Tutorial - 4th September 2012 
Organisation University of Oxford
Department Oxford E-Research Centre
Country United Kingdom 
Sector Academic/University 
PI Contribution This one day event highlighted the Smart Grid demonstration activities of the European FP7 Energy-ICT projects and the UK Low Carbon Network Fund. It brought together industry and academic researchers that enhanced our understanding of how to deploy some of the latest ICT technologies required to enable Smart Grid functionality in distribution networks. The emphasis for the event was on demonstrating future ICT infrastructure and discussion of how such technologies can be deployed.
Start Year 2012
 
Description Towards an Understanding of Dynamic Energy Pricing and Tariffs 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? Yes
Geographic Reach International
Primary Audience
Results and Impact Poster presented at the IET Smart Grids evening drinks and poster session, 19 September 2012, London.

Smart grid is the system of the future. It will utilise the elements of the power system grid from end to end from power generation to individual utilisation; increased control of domestic appliances and informed cost saving options; plug in of electric vehicles; embedded and varied renewable generation; intelligent fast automated response to disturbance and improved system stability; and overall optimal utilisation of transmission, distribution systems, energy and reduction of carbon capture
Year(s) Of Engagement Activity 2012