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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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partners and funding
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
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
learning outcomes
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?
socio technical approach
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’.
customers propositions
Customers: Propositions
  • LO1 – current usage
  • LO2 – responses to:
      • Time of Use Tariffs
      • Restricted Hours
      • Direct control
    • Mixed with
      • HP
      • EV
      • PV
types of customer in the study
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…
networks
Networks
  • Wooler
  • Rise Carr
research process
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

smart grids through the cynefin framework
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

connection to fuel poverty
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
currently
Currently…
  • Completed evidence reviews, research design
  • About to launch survey and pilot the qualitative research

For more info:

Gareth Powells

[email protected]

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