Customer Led Network Revolution: a brief ... - fivelamps.org.uk

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21 Νοε 2013 (πριν από 3 χρόνια και 11 μήνες)

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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:

1.
Broken Value chain in energy system innovation

2.
Uncertain responses to hardware change

3.
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

1.
Current and future load profiles

2.
Flexibility of demand, costs of flexibility

3.
Flexibility of supply, costs of flexibility

4.
Optimum solution to overcome network
constraints?

5.
Optimum means of delivery of these solutions
to end users?


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


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


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


Wooler


Rise Carr


Research Process

1.
Survey

I.
~12,000 participants

II.
Response rate??

2.
Qualitative visits to ~200 customers

I.
Home tour(s)

II.
Semi
-
structured conversation about
energy use flexibility, technologies,
habits

3.
Consumption Data from Smart
Meters

4.
Network Data from ‘the wires’

Analysis

Smart Grids through the Cynefin Framework

Complex

Complicated

-

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

Smart Grid

CLNR = Probe, Sense, Respond

Develop more predictive power

Make investment less uncertain

CLNR

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…



Completed evidence reviews, research design


About to launch survey and pilot the
qualitative research


For more info:

Gareth Powells

Gareth.powells@durham.ac.uk