1. Low Carbon London
A Learning Journey
Powering The Future
Liam G O’Sullivan
Programme Director - Low Carbon London
UK Power Networks
1

2. Low Carbon London
Low Carbon London Video
2

3. UK Power Networks
GENERATION TRANSMISSION DISTRIBUTION SUPPLY
INDUSTRIAL
COMMERCIAL
RESIDENTIAL
3

4. UK Power Networks % of
Total Industry
End Customers
8.0 28%
Millions
Service Area
29,165 12%
km²
Underground
134,767 29%
Network km
Overhead
47,391 15%
Network km
Energy Distributed
89.4 28%
TWh
Peak Demand
16,229 N/A
MW
New Connections 130,768 35%
4

5. Low Carbon London - A learning journey
Learning how to create a smart low carbon city
A pioneering demonstration project,
trialling new technologies, commercial
innovation and design, operation and
network management strategies…
 Smart Meters
 Wind Twinning
 Demand Side Management, I&C, Smart Appliances,
Demand Flexibility
 Distributed Generation
 Electric Vehicles
 Heat Pumps
 New Tools, Operational and Investment Practices
 Learning Lab
 Conclusions/Video 5

6. Low Carbon London
LCL Organisation Programme Sponsor
Ben Wilson
LCL Privacy Group
Duncan Page, Sacha
Structure Hollis, Brian Kelly, James
Gooding
Vision Design Authority
Dave Openshaw, Sara Bell,
Programme Director Cristiano Marantes
Programme Admin Liam O’Sullivan
Joy Davidian
Engineering Working Group
Asset Management
Design Standards
Neil Johnson
Programme Planner Programme Office Programme Manager Finance manager Networks operations
Rob Maddocks Brian Kelly Sujit Wijayatilleke
Antonio Gomes
Communication, Stakeholder & Solution Design Authority
SPM SPM SPM
Customer Engagement Mike Bray
Andrew Moring Brian Kelly (Interim) Alan Higginson
Polly Whyte
Vidia Pallaram (FT) TA
WS01 - WT WS04 – SM & WS03 – EV, PV
Adrian Putley
WS02 - DG WS06 – New Tools WS08 – New Ops
Carina Correia (PT) Andrew British Gas & HP
Paul Pretlove James Gooding Peter Lang
Alabraba Loic Hares Abs Manneh
Holly Bolton (FT) Trial Design
Babalola O (FT) Georgia Davies
Duncan Page
BA
WS12 - CT WS15 – L&D WS11 – IFS Suzi Newman
WS09 – ODS WS 07- LL WS10 – IE
Nicolette Dorril Polley Dennis
Nigel Murkitt Mark Bilton Kyra Quinn
Walshe (PT) Moynihan
BA
Peter Rints Steve Hesketh James Schofield Sree Mennon
Tony Mason
TBC
BA
TBC (FT) – Full Time LCL Leadership Don McPhail
(PT) – Part Time team
WS05 – DRM
TBC
Andrew BA
Alabraba
David Boyer
Additional resource LCL Work stream
Additional
6
Programme
Controls

7. Progress: some key highlights
• A comprehensive project plan, solution design, trial hypothesis, test
cases and a fully mobilised delivery team – deliver the learning AND the
programme outcomes & objectives.
• A common demand response contract between three external
aggregators and UK Power Networks to enable sign up of customers to
reduce load at peak times on selected substations. 13.8MW’s signed up
and further 5MW in pipeline this month.
• DG/ANM trials: c. 30 sites currently identified, 2 formally signed up;
further 8 in advanced stages, mass acquisition commences next month.
• First customers identified for EV trial: 30 res, 70 commercial, 675
CP’sImperial College London and Transport for London, trial activation
commenced.
• Smart meter ‘pilot’ in Lewisham (Low Carbon Zone) and Canning Town
(Green Enterprise District) to test customer engagement and roll out
strategy – complete and c.4500 +700 customers signed up; further 2000 7
by end of Sept plus ToU rollout by November.

8. Progress: some key highlights
• Customer Working Group: established with focus groups with key
stakeholders and customers to inform customer engagement for trials.
• Learning sharing: ENA demand response seminar, ANM learning events;
responsive demand workshop (October 2011); DR Learning Events, smart
metering rollout and ToU tariffs February 2012; Distribution Generation
CHPa event March 2012 and others planned throughout programme.
• Learning dissemination: Internal and International seminars and teams
hosted last year and this.
• Learning leveraging: support for FP7, TSB and other technology,
innovation trials and system design, operation and management
techniques
• Learning Laboratory: opened 5th October 2011.
• Trial participant acquisition: activation commenced – DR, DG, EV, HP and
PV. 8

9. We will learn and demonstrate how
to…
…maximise opportunities for low carbon, …respond to new demands on the electricity
distributed and micro-generated electricity network from a low carbon economy
…work with communities and businesses …match local energy demand with national low
to help them manage demand carbon energy demand
UKERC Smart Meters for Smart Grids
UK Perspective - 25 Mar 2010

10. Low Carbon London
Explore opportunities in established communities in
the GLA Low Carbon Zones …
Map legend
1. Muswell Hill - LB Haringey
2. Archway - LB Islington
3. Queen’s Park - LB Westminster
4. Barking – LB Barking & Dagenham
5. Ham and Petersham – LB Richmond
6. Wandle Valley – LB Merton
7. Hackbridge – LB Sutton
8. Brixton – LB Lambeth
9. Peckham – LB Southwark
10. Lewisham – LB Lewisham
Source: GLA
10

11. Low Carbon London – trial areas
Capital Programme Roadshows Autumn 2010
11 11
© Autumn 2010 EDF Energy plc. All rights Reserved

12. Low Carbon London
Explore opportunities from regeneration projects …
Source: London Thames Gateway Development Corporation
Capital Programme Roadshows Autumn 2010
12 12
© Autumn 2010 EDF Energy plc. All rights Reserved

13. Low Carbon London
Smart power for a sustainable future
Create a 2020 scenario today to investigate
and address the challenges and
opportunities that DNOs will face in
powering cities in a low carbon future.
A project for London… learning for all Great Britain
13

14. London - The ideal case study…
London has the highest carbon footprint of all GB cities…
Total CO2/km2 (kt CO2/km2)
0.0 - 10.0
… is critical to the nation’s economy 10.0 - 50.0
50.0 - 100.0
100.0 - 150.0
150.0 - 550.0
(21% of GVA)
But also:
• characterises every major town and city in Great Britain
• anticipates the new challenges for all future urban networks:
47.5 million tonnes CO2
• electric vehicles and decentralised energy
emissions p.a.
• distributed and micro-generation Target – 60% reduction on
• highly utilised network 1990 levels by 2025
… to demonstrate how to transform the electricity network to deliver a low carbon
economy 14

15. Smart Meters
Challenge:
Smart meter rollout to all UK homes and most SMEs by 2019
Our response:
Install circa 5,000 smart meters in homes across London’s 10 Low Carbon Zones and the
Green Enterprise District to understand how smart meters can impact customers’ energy
demand
Use smart meter data to inform smarter network operating techniques and improve LV
network visibility
Green Enterprise District
How smart meters can be used to increase LV network visibility and to enable smart grids
activities (e.g. demand response) 15

16. Wind Twinning
Challenge:
UK Renewable Energy Strategy: 34GW of wind generation by 2020
Matching electricity demand to intermittent generation
Our response:
Trial ‘wind twinning’ tariffs to find out: 50
Wind Generation
- if they can influence customers to adapt their
Wind Generation (GW)
40
electricity demand to follow local and 30
national wind energy production 20
- how they impact the electricity network 10
0
500
Wholesale Price (£/MWh)
Twin demand to wind generation 450
400
350
300
250
200
150
100
50
0
eb
eb
eb
eb
eb
eb
eb
eb
eb
eb
eb
eb
eb
eb
-F
-F
-F
-F
-F
-F
-F
-F
-F
-F
-F
-F
-F
-F
01
03
05
07
09
11
13
15
17
19
21
23
25
27
How future electricity networks can facilitate widespread wind twinning
16

17. Electric vehicles and heat pumps
Challenge:
UK Low Carbon Transport: A Greener Future – 14% carbon reductions
from transport by 2020 and ‘substantial decarbonisation’ by 2050
Mayor’s Electric Vehicle Delivery Plan – 1,300 public charging points by
2013 and 100,000 electric vehicles in London
UK Low Carbon Transition Plan calls for widespread electric heating and
to eliminate gas consumption for domestic heating by 2050
Our response:
Through integration with Source London e-mobility scheme, monitor
electric vehicle charging behaviour and its impact on the electricity
network; investigate how time-of-use tariffs can influence customer
charging behaviour to avoid overloading the network
Explore how heat pumps perform and impact the electricity network
How to ensure that future electricity networks can accommodate
widespread use of electric vehicles and heat pumps 17

18. Enabling Distributed Generation
Challenge:
UK Low Carbon Transition Plan: 30% of UK electricity from renewable
sources by 2020
Mayor of London’s renewable strategy target: 25% of electricity and
heating from local generation by 2025
Our response:
Investigate the impact and enable the connection of distributed and local generation to the
distribution network and trial Active Network Management (ANM) techniques to asses how
they improve security of supply and reduce network investment costs
“CONSTRAINING OFF” - Monitor and facilitate DG connections to
the LV and HV distribution networks.
“CONSTRAINING ON” - Active management of DG to ensure
security of supply and postpone network reinforcement.
The best and most cost-effective way to adapt the electricity network to accommodate
large amounts of distributed generation 18

19. Demand Side Management (DSM)
Challenge:
Our low carbon electricity future is dependent on matching electricity
demand to available, intermittent supply
Our response:
Monitor how energy efficiency schemes and time-of-use tariffs affect
residential & SME (Small and Medium Enterprises) customer electricity demand
Assess the impact of these initiatives on the electricity network
Work with commercial aggregators to establish new demand response
(DR) contracts with industrial & commercial customers
Can demand response postpone/defer network reinforcement?
(When/How/Who/What/Where)
To what extent different demand side management initiatives can influence customers’
electricity consumption 19

20. Low Carbon London – Solution diagram
20

21. Low Carbon London Regular
Learning Laboratory Centre Workshops on
workshops
for
industry
consumer Conferences
participation & academic
in smart publications
energy
Case studies
Periodic reports Share on major
for Ofgem
learning programme
and industry
activities
Workshop
Knowledge
programme with
sharing
London
between
partners
DNOs
Website portal
• Real and virtual learning showcase
• First-class research facilities
• Analyse results and determine impact of a nationwide rollout of new
technologies and commercial solutions
• Share invaluable learning and recommendations for future network design
• Opened in October 2011
21

22. Build bridges with communities and local government
Working with real London communities and local
government stakeholders to help them achieving
THEIR low carbon ambitions.
Implementing customer and community engagement
and encouraging energy usage behaviour change
(e.g. energy efficiency and time-of-use tariffs).
Enabling new low carbon technologies such as
electric vehicles and decentralised generation to
help deliver London’s CO2 targets.
22

23. Customers will enjoy real benefits…
Feedback on their carbon savings Smart meters ahead of national roll-out
Residential & SME
customers
Explore Time of Use tariffs
Reduced impact on energy
bills of low carbon transition
Industrial &
Commercial
Rewards for helping to improve customers
network efficiency and understand Rewards for helping National Grid to
opportunities of demand response balance national transmission system
…the future today

24. Low Carbon London
Smart power for a sustainable future
Distributed Electric Vehicles Demand Side
Smart Meters Wind Twinning
Generation and Heat Pumps Management
Trial new low carbon technologies and commercial tariffs to see how they impact consumers’ energy demand behaviour
Low Carbon London
Learning Centre
shares learning with energy industry
Proven new network throughout programme UK Power Networks
planning and operation embraces new ways of
tools for a future designing and operating a
low carbon economy smarter electricity network
National and international blueprint for a smarter
future electricity network to enable
a low carbon economy
24

25. So….
• LCL is an emulation of the future challenges that will impact urban
electricity networks focussed on London and the LCZ’s.
• Aligned with stakeholders’ objectives to reduce C02 emissions through
energy efficiency, electric heat and transport, and distributed generation.
• Partnering with National Grid, energy suppliers and commercial
aggregators to explore commercial innovation.
• Partnering with proven ICT and smart grid solution providers to ensure
complementary technological innovation.
• Integration of technological and commercial innovation at scale involving
direct interaction with real customers and communities.
• A dedicated learning laboratory to ensure robust analysis of results and
effective sharing and dissemination of learning – TO ALL
25

26. Context
 Radical shift in UK energy policy;
 35% electricity from renewables by 2020.
 Electricity generation decarbonised by 2030.
 80% reduction in carbon emissions by 2050.
 Potential impact on our network (if we do nothing);
 Higher peak demands.
 Thermal and voltage constraints.
 Higher fault levels.
 Less predictable load cycles.
 Higher losses.
 Potential of a doubling of demand by 2050 without ‘smart’ intervention.
 Costly and disruptive capital investment.
26

27. SUMMARY - is it smart?
 The current established ways of managing networks will quickly become
unsustainable.
 We have built a strong foundation for innovation – as good if not better
than other DNO’s.
 Any expertise developed through this process must be transferred and
embedded into the rest of the business, partners and professionals,
government, policy makers.
 Commercial innovation, strategic partnerships and customer
engagement is crucial.
 Must have embedded this philosophy into our business by RIIO-ED1.
 Enable us to shape our business and enable us to become a top
performing company under the new regulatory framework (RIIO-ED1).
This is the beginning of a new era in the management of
electricity networks and asset management, future is here future is now!!
27

28. In summary…
Low Carbon London will:
• help London lower its transport and energy-related carbon emissions
• help Londoners reduce their energy bills and build a low carbon future
• provide an example for others in the energy industry to follow
• establish sustainable communities where:
– people want to live and work
– companies want to do business
– other cities look to for inspiration
Low Carbon London tackles the UK city with the highest carbon
emissions and provides a ‘power’ learning showcase for other cities

29. Thank you
Liam O’Sullivan, Programme Director, Low Carbon London
liam.o’sullivan@ukpowernetworks.co.uk 07875115615
29

30. Any questions?
30

31. Learning Lab infrastructure and
analysis
Dr. Mark Bilton
06/07/2012

32. Two key goals
• To understand how the distribution network
can facilitate the adoption of low carbon
power generation, both locally and nationally;
• To understand the extent to which
decentralised generation and demand side
management can be utilised to provide cost
effective alternatives to system re-
enforcement.

33. LCL’s holistic approach
• Network
– Integration of HV and LV network data (first time for London)
– Considerable data cleansing
• New loads
– Heat pumps
– Electric vehicles
• DG
– CHP, PV
• DSM (Residential and I&C)
– Efficiency
– DR (Contractual, behavioural and automated)
• Implications for control and planning (Including increased wind
generation)

34. Outputs: reports overview
Data Load profiles
Interventions Meta analysis
availability and quality
DERs Power Control/wind-
Smart meter I&C DG and DR
quality twinning
Efficiency on Residential
Network tariff response Planning
profiles
State DERs on Residential
Resilience
estimation profiles tariff attitudes
Smart Commercial
EVs on profiles
appliances arrangements

35. Research approach
• Measuring existing profiles and power flows
• Characterising future network power flows
• Characterising interventions
• Modelling combined interventions on network
• Investment costs modelling
• Supply side models for carbon emissions
analysis

36. Instrumentation
• 5000+ meters around LPN.
• Sensors and RTUs to measure all LV ways in
LCL Low Carbon Zones (Brixton, Queens Park,
Merton).
• Eventually all HV ways.
• Technology specific monitoring with ‘3G’
meters or power quality analysers.

37. Learning Lab IT systems and data flows
Topology, measurements, status
and control actions.
Secure server High
Smart performance
meters •ODS + Network -> server
PSS/E
ODS •ODS control
Proposed control interface
actions.
Imperial
Demo server network
Real Traditional versus analysis tools
data smart network
(SCADA, management
SM, scenarios.
Aggregat UKPN
or etc.)
Time-domain network visualisation tool
Linked so that
real and
Scenario modelled data Scenario
A can be B
displayed in
the same time
Trial zone l Trail zone k steps.

38. Visualisation of
networks
• With partners we have been
investigating the use of existing tools
for visualisation of BAU versus
‘smart’.
• Operational tools
– Power On Fusion with SimScada
• Planning tools
– PSS:SINCAL
– PowerFactory
– DPlan
• Bespoke tools
– Google/KML
– GIS mapping software and
custom development

39. Summary
• New ground in terms of detail of network
topology and measurement
• Consideration of whole system
• Continuously refining approach
• Grounded in real network economics (Sana)
• But including analysis of human behaviour, for
example in our smart metering trials (Richard)

40. Low Carbon London
Learning Lab
Analysis of Distribution Network in Low Carbon
Zones (LPN)

41. Contents
• Key Objectives
• Methodology
• Case study – Queens Park LCZ
• Results – Amberly road 6.6kv
41

42. Key Objectives
• Build LV and HV distribution network models in selected areas of a LCL zones
• Network investment analysis and optimisation tools;
• Quantify the impact of load/generation growth scenarios on network investment
• Quantify the impact of smart technologies on network investment
• Calibrate each of the developed top-down network investment modelling approaches
and test robustness under different future development scenarios.
• Sensitivity analysis on smart technologies and load growth
• Determine the most appropriate roll-out methodology to establish network investment
modelling approaches for each LCL zones.
42

43. Valuing smart grid technologies
Low Carbon Zones Development Scenarios
National Scenarios
Domestic and C&I Electric vehicles Heat pumps Generation
System operation paradigm
Uncontrolled demand Smart Grid
Dynamic Distribution Investment Model
Alternative reinforcement strategies
Thermal, voltage and fault level constraints
Outputs
Network upgrade schedules, cost profile
Equipment Utilisation
Value of flexible demand services

44. Analysis of Distribution Network in
Low Carbon Zones (LPN)

45. Queens Park LCZ
• Queen’s Park, W10
• fed by Amberly Road 6.6kV
• 210 Secondary Substations
• 1000 Residential customers
receiving advice and efficiency
measures.
• ~500 Commercial customers.
• EV charging posts planned by the
GLA.
• Community centre 2012 CHP
installation.

46. Amberly Road 6.6kV
• HV length 67.51 km
• No of customers ~33k
• LV length ~183km

47. Amberly Road 6.6kV : Reinforcement Lengths

48. Amberly Road 6.6kV : Reinforcement Cost

49. Conclusion
• Low voltage networks model
• High voltage networks
• Developed Dynamic Distribution Mode
• Benefit assessment on smart technologies

50. Understanding the Consumer –
Residential ToU Trial
London 6th July 2012
Richard Carmichael
With thanks to: Mark Bilton, James Schofield

51. Imperial College Business School
• Innovation and Entrepreneurship Group
• Focus on Consumer engagement
• Project Deliverables:
• 6-1 Consumer attitudes to flexible tariff rates
• 6-2 Residential responsiveness to TOU rates
© Imperial College Business School

52. Overview
• UK Energy Context
• Dynamic Tariffs in UK
• ToU Trial Design
• Research Questions
• Research Methods
• Tariff Schedule
• Information / Feedback
• Sample & Recruitment
• Treatment groups
• Timeline
© Imperial College Business School

53. UK Energy Context
• Need to reduce carbon emissions
• UK target: 35% of electricity from renewables by 2020
• Investment in generation and infrastructure must be cost-
effective
• Wind energy costs to drop 30% by 2020 (OWCRTF 2012)
l© Imperial College Business School

54. UK Context (contd)
• Wind energy contribution limited by intermittence
• Demand-following will allow more intermittent
renewables
• For intermittent and irregular renewables pricing signals
can’t be fixed – not static ToU
© Imperial College Business School

55. Dynamic Tariffs
© Imperial College Business School

56. Dynamic ToU
• Can offer demand response
• Consumers do respond (e.g., Sergici & Faruqui 2011)
• Persistence Brattle Group, 2011
• Knowledge gaps
• Controversy
• effectiveness
• fairness
• engagement
• …needs empirical approach
© Imperial College Business School

57. Need Trial of Dynamic ToU in UK Context
UK network, policy, renewables
UK patterns of demand: weather, habits…
UK Attitudes and debates
© Imperial College Business School

58. LCL Residential ToU - Trial Objectives:
• To investigate residential consumers demand flexibility
in exchange for lower electricity prices
• To trial supply-following for more efficient utilisation of
wind energy and network
© Imperial College Business School

59. Research Questions - Understanding the Consumer
• What are the drivers and challenges to engagement with
displays and tariffs?
• What are the limits to flexibility in consumption?
• Which behaviours? When? Which direction?
• When does ToU lead to reduction?
• How can households be segmented?
• Who responds most/least? Who gains/loses most?
How do need/preferences differ?
© Imperial College Business School

60. Research Methods
Data: • Statistical analysis
• Customer data • Consumption patterns
• Electricity consumption • Behaviour change
data • Segmentation of
households
• Questionnaires
• Qualitative analysis
• Interviews (repeated)
• further insights and enrich
segmentation
Analysis: Imperial College Business School ©

61. Will generate insights into…
• Maximising the impact of smart meters and tariffs on energy
consumption behaviours
• Impact on different types of households
• meter roll-out planning
• consumer communications
• device design/functionality
• grid management
• new business opportunities
• policy
© Imperial College Business School

62. Tariff Schedule
• Schedule designed to:
• reflect wind-activity and network events (e.g., faults)
• test flexibility of consumption across wide range of
times/days
• Three price points: low, medium, high (carrot and stick)
• Price events
• Varying duration: 2 hrs to whole day
• Varying combinations of L/M/H
• no more than 3 per week
© Imperial College Business School

63. Information / Feedback
• In-advance
• Price notifications sent via IHD + mobiles
• Sent day ahead - allows for shifting forward as well as
deferring
• In Real time
• Current price rate (£)
• Current consumption in kWh & traffic lights
• Historic Feedback
• Via bill
• Via IHD:
• kWh (day/week/month/year)
• £ (day/week/month) © Imperial College Business School

64. Approach to sampling
• Sampling within LPN network area
• Using ACORN data to get sample representative of
Greater London:
• Income
• Occupancy
• Household make-up
• Building type
© Imperial College Business School

65. Treatment Groups
© Imperial College Business School

66. Data Collection Timeline
© Imperial College Business School

67. Summary
• Supply-following would allow growth in intermittent renewables
(wind)
• Dynamic ToU needed for irregular intermittent wind energy
• Dynamic ToU is about flexibility not reduction in
consumption
• Need to trial Dynamic ToU in UK context
• Qualitative and quantitative insights
• LCL is first residential Dynamic ToU trial in UK
© Imperial College Business School

68. Thank you
r.carmichael@imperial.ac.uk
www.imperial.ac.uk/business-school © Imperial College Business School

69. Calculating Carbon
in Smart Grids
Dr Tony Rooke
UK Sustainability Services Practice Lead
@carbon_rooket

70. We deliver sustainability services as a blend of skills
and experience
Carbon Smart
Management Utilities
Sustainability Sustainable
consultancy mobility
Airwaves
© Logica 2012. All rights reserved No. 70

71. Terminology
Measured effect of a trial
Impact - Financial costs
- Carbon saving
Benefit Achieved only if:
Impacts (BAU) > Impacts (Trial)
© Logica 2012. All rights reserved

72. Logica’s approach to carbon impacts for smart grids
Scope
smart
grid
Monitor Identify
& report impacts
Manage
carbon
impacts
Estimate
Measure
size
Agree
method Prioritise
for trial & filter
& BAU
© Logica 2012. All rights reserved No. 72

73. Scoping the grid programme
Smart grid trial Do you
have real Scale roll out
funding request field data?
No Yes
Use estimates and
Use field
trial literature to
measurements
work out impacts
© Logica 2012. All rights reserved No. 73

74. Scoping Low Carbon London
Wind Twinning
Time of use
tarriffs
Industrial &
Distributed
Commercial
generation
Electric vehicles
Heating
Residential & SME
Smart meters
Demand side
management
© Logica 2012. All rights reserved No. 74

75. Identify impacts
Identify the impact and its qualities relative to the
Qualitative - e.g.
Direct – within the Indirect – consumer
Quantifiable – it can be Consumers feel more
operational boundary of based impact, enabler for
measured secure about their energy
the grid programme take up of low carbon tech
supply
What type of impact is it
Financial – cost savings, avoided / deferred build, Environmental – energy savings, avoided grid
OPEX, CAPEX, maintenance, stranded assets, build, recycling of equipment, avoided new
carbon costs, CLIs, financing, discounting materials, maximising current assets
Can it be measured, modelled, estimated?
How easy is it to collect relevant data? What modelling methodology?
© Logica 2012. All rights reserved No. 75

76. Pre-trial scoping: 0.6 billion tonnes of CO2e to 2050
© Logica 2012. All rights reserved No. 76

77. Carbon impact calculation for the trials
© Logica 2012. All rights reserved No. 77

78. Actuals from trials
To come
© Logica 2012. All rights reserved No. 78

79. Thank you
Logica Business Consulting 7th Floor Kings Place www.logica.com/consulting
Contact: Dr Tony Rooke, UK Sustainability Services Practice Lead T: +44 7894258005 E: tony.rooke@logica.com
Logica is a business and technology service company, employing 39,000 people. It provides business consulting, systems integration and outsourcing to
clients around the world, including many of Europe's largest businesses. Logica creates value for clients by successfully integrating people, business and
technology. It is committed to long term collaboration, applying insight to create innovative answers to clients’ business needs. Logica is listed on both the
London Stock Exchange and Euronext (Amsterdam) (LSE: LOG; Euronext: LOG). More information is available at www.logica.com

80. Getting Smart!
Smart Utilities:
Logica’s Smart Data Service
Richard Hampshire | Smart Utilities

81. Logica Smart Utilities | Context
The Energy Challenge
Reliability of
Supply
Decarbonising
Energy
Exposure to
Global Markets
Consumers
Impact on Energy
disposable income Austerity?
© Logica 2012. All rights reserved

82. Logica Smart Utilities | Context
Smart – The Multi-Dimensional Challenge
Market
Structure,
Policy and
Regulation
Progressive
Deployment
Aligning
Investment Realising the
with Return Benefits of
Investment in
Smart
Technology
Maturity &
Innovation
Market
Maturity &
Consumer
Attitudes
© Logica 2012. All rights reserved

83. Logica Smart Data Service | Service Benefits
Managed Service for Smart Data and Communications
• The Logica Smart Data Service provides our clients with:
• Managed service access to their advanced metering infrastructure
• Management of the high volumes of smart meter data
• Alignment of investment to ability to make a return
• Delivering the following benefits: Third
Parties
• No investment in systems during early stages of their AMI deployment
• Minimises disruption to their existing business model
• Ability to refine requirements based on practical experience Logica Distribution
Smart Data System
Service Operator
Energy
Retailer
© Logica 2012. All rights reserved

84. Responsibilities Across the Value Chain
DSO / Smart Grid / Sm@rtering
Meter Comms Decision
DSO Smart Grid
Meter Services Networks Analytics /
Headend MDMS Control
Manufacturers / Asset (Installation / BPM
& Provision) (Instant MDMS
Customer Premises Funding LAN/WAN Smart
(inc Comms Energy) Supplier
Equipment Asset / Data CS&B Process
Carriage MDMS
Install) Management
Smart Data Services Supplier / CS&B / Smart Office
Other
devices Suppliers
IHD Comms
DCC User
HAN Hub
WAN Gateway
Network
Operators
Elec
Authorised
CSP DSP Third Parties
Gas
DCC
© Logica 2012. All rights reserved

85. Our Propositions | Smart Data Service
In House vs Managed Service Comparison
Cumulative Cost of Insource vs Managed Service
(to first technology refresh and based on cash only)
€ 30
€ 25
Cumulative Costs (EUR Milions)
€ 20
€ 15
Insource (Best Case)
Managed Service (Best Case)
€ 10
€5
€0
-1 0 1 2 3 4 5 6 7
Year from Programme Start
© Logica 2012. All rights reserved

86. Our Propositions | Smart Data Service
In House vs Managed Service Comparison
Cumulative Cost of Insource vs Managed Service
(to first technology refresh and based on cash only)
€ 30
€ 25
Cumulative Costs (EUR Milions)
€ 20
€ 15 Managed Service (Slow rollout
profile)
Insource (Slow Deployment)
€ 10
€5
€0
-1 0 1 2 3 4 5 6 7
Year from Programme Start
© Logica 2012. All rights reserved

87. Logica Smart Utilities | What our clients say about our Smart Data Service
Leave the Final Word to our Clients
"Logica understood the
“It’s great working challenges and British Gas´s
with Logica because smart metering objectives.
you know any problems Instant Energy allowed us to
you encounter will be test both we and our
little ones” customers could benefit from
Dave Mountford, Smart the new technology.“
Metering Project Manager, Director of Smart Metering
npower British Gas
“We love Instant Energy.
It’s by far the most superior
of any head-end we've seen
and it’s really user friendly.”
Sean Davies, Smart Metering Trials
Senior Administrator, npower
“It's been a pleasure to work with
every single Logica person I have
come into contact with - Logica must
have a very good interview process”
Con O'Se,
Metering Programme Manager,
Bord Gáis Networks
© Logica 2012. All rights reserved

88. Maintaining the dialogue...
Rich Hampshire
UK Lead | Smart Utilities
M: +44 7711 035 899
E: rich.hampshire@logica.com
T: @RJHampshire
Logica is a business and technology service company, employing 39,000 people. It provides business consulting,
systems integration and outsourcing to clients around the world, including many of Europe's largest businesses.
Logica creates value for clients by successfully integrating people, business and technology. It is committed to long
term collaboration, applying insight to create innovative answers to clients’ business needs.
Logica is listed on both the London Stock Exchange and Euronext (Amsterdam) (LSE: LOG; Euronext: LOG).
More information is available at www.logica.com.
© Logica 2012. All rights reserved
The company is a public company incorporated and domiciled in the UK.
The address of its registered office is 250 Brook Drive, Green Park, Reading RG2 6UA, United Kingdom.