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Low Carbon London A Learning Journey
Powering The Future
Liam G O’Sullivan
Programme Director - Low Carbon London
UK Power Networks
Low Carbon London
2
Low Carbon London Video
3
GENERATION TRANSMISSION DISTRIBUTION SUPPLY
INDUSTRIAL
COMMERCIAL
RESIDENTIAL
UK Power Networks
4
UK Power Networks End Customers
Millions
Service Area km²
Underground Network km
Overhead Network km
Energy Distributed TWh
Peak Demand MW
New Connections
8.0
29,165
134,767
47,391
89.4
16,229
130,768
28%
12%
29%
15%
28%
N/A
35%
Total % of
Industry
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
6
Low Carbon London Programme Sponsor
Ben Wilson
Programme Director Liam O’Sullivan
Programme Manager Brian Kelly
Finance manager Sujit Wijayatilleke
Programme Office Rob Maddocks
Solution Design Authority
Mike Bray SPM
Brian Kelly (Interim) SPM
Andrew Moring SPM
Alan Higginson
TA Adrian Putley
Trial Design Georgia Davies
WS11 – IFS Dennis
Moynihan
WS01 - WT Andrew Alabraba
WS02 - DG Paul Pretlove
WS12 - CT Nicolette Walshe
WS09 – ODS Nigel Murkitt
WS08 – New Ops Peter Lang
WS 07- LL Mark Bilton
WS05 – DRM Andrew Alabraba
WS06 – New Tools James Gooding
Vision Design Authority Dave Openshaw, Sara Bell,
Cristiano Marantes
Communication, Stakeholder & Customer Engagement
Polly Whyte
WS04 – SM & British Gas Loic Hares
WS10 – IE Kyra Quinn
WS03 – EV, PV & HP
Abs Manneh
WS15 – L&D Dorril Polley
(PT)
BA Suzi Newman
Vidia Pallaram (FT)
Steve Hesketh Peter Rints
TBC
BA Tony Mason
Babalola O (FT)
Holly Bolton (FT)
Antonio Gomes
James Schofield
LCL Organisation Structure
TBC
Sree Mennon
LCL Leadership team
LCL Work stream Additional resource
BA Don McPhail (FT) – Full Time
(PT) – Part Time
BA David Boyer
Carina Correia (PT)
Programme Admin Joy Davidian
Engineering Working Group Asset Management Design Standards
Networks operations
TBC
LCL Privacy Group Duncan Page, Sacha
Hollis, Brian Kelly, James Gooding
Duncan Page
Additional Programme
Controls
Neil Johnson Programme Planner
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 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.
• Programme website launched: www.lowcarbonlondon.info
We will learn and demonstrate how
to… …maximise opportunities for low carbon,
distributed and micro-generated electricity
…respond to new demands on the electricity
network from a low carbon economy
…work with communities and businesses
to help them manage demand
UKERC Smart Meters for Smart Grids
UK Perspective - 25 Mar 2010
…match local energy demand with national low
carbon energy demand
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
11 11 Capital Programme Roadshows Autumn 2010
© Autumn 2010 EDF Energy plc. All rights Reserved
Low Carbon London – trial areas
12 12 Capital Programme Roadshows Autumn 2010
© Autumn 2010 EDF Energy plc. All rights Reserved
Low Carbon London Explore opportunities from regeneration projects …
Source: London Thames Gateway Development Corporation
13
Low Carbon London
Smart power for a sustainable future
A project for London… learning for all Great Britain
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.
14
But also:
• characterises every major town and city in Great Britain
• anticipates the new challenges for all future urban networks:
• electric vehicles and decentralised energy
• distributed and micro-generation
• highly utilised network
London has the highest carbon footprint of all GB cities… … is critical to the nation’s economy (21% of GVA)
Total CO2/km2 (kt CO2/km2) 0.0 - 10.0
10.0 - 50.0
50.0 - 100.0
100.0 - 150.0
150.0 - 550.0
London - The ideal case study…
… to demonstrate how to transform the electricity network to deliver a low carbon economy
47.5 million tonnes CO2
emissions p.a.
Target – 60% reduction on
1990 levels by 2025
15
Challenge:
Smart meter rollout to all UK homes and most SMEs by 2019
Smart Meters
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
How smart meters can be used to increase LV network visibility and to enable smart grids activities (e.g. demand response)
Green Enterprise District
16
Challenge:
UK Renewable Energy Strategy: 34GW of wind generation by 2020
Matching electricity demand to intermittent generation
Wind Twinning
Our response: Trial ‘wind twinning’ tariffs to find out:
- if they can influence customers to adapt their electricity demand to follow local and national wind energy production
- how they impact the electricity network
Twin demand to wind generation
How future electricity networks can facilitate widespread wind twinning
0
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20
30
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GW
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Wind Generation
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50
100
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450
500
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17
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
Electric vehicles and heat pumps
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
18
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
Enabling Distributed Generation
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
The best and most cost-effective way to adapt the electricity network to accommodate large amounts of distributed generation
“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.
19
Challenge:
Our low carbon electricity future is dependent on matching electricity demand to available, intermittent supply
Demand Side Management (DSM)
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
20
Low Carbon London – Solution diagram
21
• 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
Workshops on
consumer
participation
in smart
energy
Periodic reports
for Ofgem
and industry
Workshop
programme with
London
partners
Website portal
Knowledge
sharing
between
DNOs
Case studies
on major
programme
activities
Conferences
& academic
publications
Regular
workshops
for
industry
Share
learning
Low Carbon London Learning Laboratory Centre
22
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.
Build bridges with communities and local government
Customers will enjoy real benefits…
Explore Time of Use tariffs
…the future today
Smart meters ahead of national roll-out
Reduced impact on energy
bills of low carbon transition
Feedback on their carbon savings
Rewards for helping to improve
network efficiency and understand
opportunities of demand response
Residential & SME
customers
Industrial &
Commercial
customers
Rewards for helping National Grid to
balance national transmission system
24
Low Carbon London Smart power for a sustainable future
Proven new network
planning and operation tools for a future
low carbon economy
UK Power Networks embraces new ways of
designing and operating a smarter electricity network
Trial new low carbon technologies and commercial tariffs to see how they impact consumers’ energy demand behaviour
Wind Twinning Distributed Generation
Electric Vehicles and Heat Pumps
Smart Meters Demand Side Management
National and international blueprint for a smarter future electricity network to enable
a low carbon economy
Low Carbon London Learning Centre
shares learning with energy industry throughout programme
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
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.
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
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’[email protected] 07875115615
Learning Lab infrastructure and analysis
Dr. Mark Bilton
06/07/2012
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.
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)
Outputs: reports overview
Smart meter
DERs on profiles
Network
DERs Power quality
Efficiency on profiles
EVs on profiles Smart
appliances
State estimation
I&C DG and DR
Residential tariff response
Residential
tariff attitudes
Planning
Resilience
Control/wind-twinning
Commercial arrangements
Data availability
Load profiles and quality
Interventions Meta analysis
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
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.
ODS
Trial zone l Trail zone k
Topology, measurements, status and control actions.
Time-domain network visualisation tool
UKPN
Scenario A
Scenario B
Linked so that real and modelled data can be displayed in the same time steps.
Proposed control actions.
Secure server
•ODS + Network -> PSS/E •ODS control interface
Smart meters
Real data
(SCADA, SM,
Aggregator etc.)
Learning Lab IT systems and data flows
Demo server Traditional versus smart network management scenarios.
High
performance
server
Imperial
network
analysis tools
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
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)
Low Carbon London
Learning Lab
Analysis of Distribution Network in Low Carbon
Zones (LPN)
Contents
• Key Objectives
• Methodology
• Case study – Queens Park LCZ
• Results – Amberly road 6.6kv
41
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
Valuing smart grid technologies
Domestic and C&I Heat pumps Electric vehicles
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
Low Carbon Zones Development Scenarios
National Scenarios
System operation paradigm
Uncontrolled demand Smart Grid
Generation
Analysis of Distribution Network in Low Carbon Zones (LPN)
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.
Amberly Road 6.6kV
• HV length 67.51 km
• No of customers ~33k
• LV length ~183km
Amberly Road 6.6kV : Reinforcement Lengths
Amberly Road 6.6kV : Reinforcement Cost
Conclusion
• Low voltage networks model
• High voltage networks
• Developed Dynamic Distribution Mode
• Benefit assessment on smart technologies
Understanding the Consumer –
Residential ToU Trial
London 6th July 2012
Richard Carmichael
With thanks to: Mark Bilton, James Schofield
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
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
UK Energy Context
l© Imperial College Business School
• 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)
UK Context (contd)
© Imperial College Business School
• 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
Dynamic Tariffs
© Imperial College Business School
Dynamic ToU
• Can offer demand response
• Consumers do respond (e.g., Sergici & Faruqui 2011)
• Persistence
• Knowledge gaps
• Controversy
• effectiveness
• fairness
• engagement
• …needs empirical approach
© Imperial College Business School
Brattle Group, 2011
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
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
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
Research Methods
Data:
• Customer data
• Electricity consumption
data
• Questionnaires
• Interviews (repeated)
Analysis:
• Statistical analysis
• Consumption patterns
• Behaviour change
• Segmentation of
households
• Qualitative analysis
• further insights and enrich
segmentation
Imperial College Business School ©
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
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
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
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
Treatment Groups
© Imperial College Business School
Data Collection Timeline
© Imperial College Business School
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
Calculating Carbon in Smart Grids Dr Tony Rooke
UK Sustainability Services Practice Lead
@carbon_rooket
No. 70 © Logica 2012. All rights reserved
We deliver sustainability services as a blend of skills and experience
Airwaves
Smart Utilities
Sustainable mobility
Sustainability consultancy
Carbon Management
© Logica 2012. All rights reserved
Terminology
Benefit
Impact
Achieved only if: Impacts (BAU) > Impacts (Trial)
Measured effect of a trial - Financial costs - Carbon saving
© Logica 2012. All rights reserved
Scope smart grid
Identify impacts
Estimate size
Prioritise & filter
Agree method for trial & BAU
Measure
Monitor & report
No. 72
Logica’s approach to carbon impacts for smart grids
Manage carbon impacts
© Logica 2012. All rights reserved No. 73
Scoping the grid programme
Smart grid trial funding request
Scale roll out Do you
have real field data?
Use estimates and trial literature to work out impacts
Use field measurements
No Yes
© Logica 2012. All rights reserved No. 74
Scoping Low Carbon London
Wind Twinning
Time of use tarriffs
Distributed generation
Electric vehicles
Heating
Smart meters
Demand side management
Industrial & Commercial
Residential & SME
© Logica 2012. All rights reserved No. 75
Identify impacts
Can it be measured, modelled, estimated?
How easy is it to collect relevant data? What modelling methodology?
What type of impact is it
Financial – cost savings, avoided / deferred build, OPEX, CAPEX, maintenance, stranded assets,
carbon costs, CLIs, financing, discounting
Environmental – energy savings, avoided grid build, recycling of equipment, avoided new
materials, maximising current assets
Identify the impact and its qualities relative to the
Quantifiable – it can be measured
Qualitative - e.g. Consumers feel more
secure about their energy supply
Direct – within the operational boundary of
the grid programme
Indirect – consumer based impact, enabler for take up of low carbon tech
© Logica 2012. All rights reserved No. 76
Pre-trial scoping: 0.6 billion tonnes of CO2e to 2050
© Logica 2012. All rights reserved No. 77
Carbon impact calculation for the trials
© Logica 2012. All rights reserved
To come
No. 78
Actuals from trials
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
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: [email protected]
Getting Smart! Smart Utilities: Logica’s Smart Data Service
Richard Hampshire | Smart Utilities
© Logica 2012. All rights reserved
Consumers
The Energy Challenge
Reliability of Supply
Exposure to Global Markets
Decarbonising Energy
Impact on disposable income
Energy Austerity?
Logica Smart Utilities | Context
© Logica 2012. All rights reserved
Realising the Benefits of
Investment in Smart
Aligning Investment with Return
Progressive Deployment
Technology Maturity & Innovation
Market Maturity & Consumer Attitudes
Market Structure, Policy and Regulation
Smart – The Multi-Dimensional Challenge
Logica Smart Utilities | Context
© Logica 2012. All rights reserved
Managed Service for Smart Data and Communications
Logica Smart Data
Service
Energy Retailer
Third Parties
Distribution System
Operator
Logica Smart Data Service | Service Benefits
• 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:
• 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 2012. All rights reserved
Smart Data Services
WAN HAN
Responsibilities Across the Value Chain
Elec
Gas
IHD
Other devices
Comms Hub
DSP
DCC
CSP
Suppliers
Network Operators
Authorised Third Parties
DCC User Gateway
DSO MDMS
Supplier MDMS
Decision Analytics /
BPM
CS&B
Smart Grid Control
Smart Process
Management
Meter Manufacturers /
Customer Premises Equipment
Asset Funding
Meter Services
(Installation & Provision) (inc Comms
Asset Install)
Comms Networks
/ LAN/WAN
/ Data Carriage
Headend (Instant Energy)
MDMS
DSO / Smart Grid / Sm@rtering
Supplier / CS&B / Smart Office
© Logica 2012. All rights reserved
In House vs Managed Service Comparison
€ 0
€ 5
€ 10
€ 15
€ 20
€ 25
€ 30
-1 0 1 2 3 4 5 6 7
Cu
mu
lati
ve C
osts
(EU
R M
ilio
ns)
Year from Programme Start
Cumulative Cost of Insource vs Managed Service (to first technology refresh and based on cash only)
Insource (Best Case)
Managed Service (Best Case)
Our Propositions | Smart Data Service
© Logica 2012. All rights reserved
In House vs Managed Service Comparison
€ 0
€ 5
€ 10
€ 15
€ 20
€ 25
€ 30
-1 0 1 2 3 4 5 6 7
Cu
mu
lati
ve C
osts
(EU
R M
ilio
ns)
Year from Programme Start
Cumulative Cost of Insource vs Managed Service (to first technology refresh and based on cash only)
Managed Service (Slow rollout
profile)
Insource (Slow Deployment)
Our Propositions | Smart Data Service
© Logica 2012. All rights reserved
“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 great working
with Logica because
you know any problems
you encounter will be
little ones”
Dave Mountford, Smart
Metering Project Manager,
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 understood the
challenges and British Gas´s
smart metering objectives.
Instant Energy allowed us to
test both we and our
customers could benefit from
the new technology.“
Director of Smart Metering
British Gas
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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. 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.
Rich Hampshire UK Lead | Smart Utilities M: +44 7711 035 899 E: [email protected] T: @RJHampshire
