Advanced Dynamic Energy Pricing and Tariffs (ADEPT)
Exploiting information from smart meters to benefit both energy suppliers & their customers
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. ADEPT 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 for dynamic tariffs are strong: ADEPT will improve 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 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.
- Mr Colin Axon, Brunel Institute of Power Systems, Brunel University
- Dr Sarah Darby, Environmental Change Institute, University of Oxford
- Dr Dan Olteanu, Department of Computer Science, University of Oxford
- Dr Gareth Taylor, Brunel Institute of Power Systems, Brunel University
- Prof Peter Hobson, School of Engineering and Design, Brunel University
- Dr Russel Layberry, Environmental Change Institute, University of Oxford
- Ramon Granell, Oxford e-Research Centre
- Dr David Wallom: david.wallom at oerc.ox.ac.uk