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An Introduction 

An Introduction . Partners and Funding. Funded by Ofgem under the Low Carbon Network Fund (LCNF) . Delivery through partnership with Northern Powergrid (DNO) British Gas DEI EA Technologies Ltd. The Problems:. Broken Value chain in energy system innovation

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An Introduction 

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  1. An Introduction 

  2. Partners and Funding • Funded by Ofgem under the Low Carbon Network Fund (LCNF). • Delivery through partnership with • Northern Powergrid (DNO) • British Gas • DEI • EA Technologies Ltd

  3. The Problems: • Broken Value chain in energy system innovation • Uncertain responses to hardware change • Need more, smarter solutions for network maintenance The ‘engineering world view’ of mechanistic, predictable, levers is challenged • The grid = networks + people • A complex adaptive system • Less predictable, levers are unreliable • Therefore ROI is unknown

  4. Learning Outcomes • Current and future load profiles • Flexibility of demand, costs of flexibility • Flexibility of supply, costs of flexibility • Optimum solution to overcome network constraints? • Optimum means of delivery of these solutions to end users?

  5. Socio-Technical Approach • Socio-technical > social + technical • We are interested not only in the social and technical aspects of electricity supply and demand, but in the way in which these are interlinked and inter-dependent. • We are seeking to develop theoretical perspectives, research design methodologies and analysis that enable us to develop a socio-technical analysis of the emergence and implications of the ‘smart grid’.

  6. Customers: Propositions • LO1 – current usage • LO2 – responses to: • Time of Use Tariffs • Restricted Hours • Direct control • Mixed with • HP • EV • PV

  7. Types of Customer in the Study • 5 Variables for Domestic Customers • Tenure • Income • Composition • Gas Grid Connection • Rural / Urban • Skewed by BG Smart Meter Roll Out • Flats, pre-payment, E7, poor credit rating • Problems…

  8. Networks • Wooler • Rise Carr

  9. Research Process • Survey • ~12,000 participants • Response rate?? • Qualitative visits to ~200 customers • Home tour(s) • Semi-structured conversation about energy use flexibility, technologies, habits • Consumption Data from Smart Meters • Network Data from ‘the wires’ Analysis

  10. Smart Grids through the Cynefin Framework Smart Grid Complicated Complex • - Domain of expertise, best practice • -Sense, Analyse, Respond • - If Smart Grids were just about engineering they’d be here • Predictive Expectations -Domain of emergent practice - Probe, Sense, Respond - The social side of our project is here - Explanatory Expectations CLNR

  11. Connection to Fuel Poverty • GP’s previous research with DU and NEA • Interest in affordability of ‘smart’ grid and associated technologies • Interest in the equity of smart • Who’s paying and who’s benefitting • Energy bills go up to create something that not everyone can access • Related to Smart Meter roll out over next 8 years

  12. Currently… • Completed evidence reviews, research design • About to launch survey and pilot the qualitative research For more info: Gareth Powells Gareth.powells@durham.ac.uk

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