An introduction
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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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An introduction

An Introduction 


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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