Analyst briefing session 3 low carbon london

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Analyst briefing session 3 low carbon london

  1. 1. Low Carbon London A Learning Journey Powering The FutureLiam G O’SullivanProgramme Director - Low Carbon LondonUK Power Networks 1
  2. 2. Low Carbon London Low Carbon London Video 2
  3. 3. UK Power Networks GENERATION TRANSMISSION DISTRIBUTION SUPPLY INDUSTRIAL COMMERCIAL RESIDENTIAL 3
  4. 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. 5. Low Carbon London - A learning journeyLearning 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. 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 GomesCommunication, 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. 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. 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. 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 demandUKERC Smart Meters for Smart GridsUK Perspective - 25 Mar 2010
  10. 10. Low Carbon LondonExplore opportunities in established communities inthe 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. 11. Low Carbon London – trial areas Capital Programme Roadshows Autumn 201011 11 © Autumn 2010 EDF Energy plc. All rights Reserved
  12. 12. Low Carbon LondonExplore opportunities from regeneration projects … Source: London Thames Gateway Development Corporation Capital Programme Roadshows Autumn 201012 12 © Autumn 2010 EDF Energy plc. All rights Reserved
  13. 13. Low Carbon LondonSmart 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. 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. 15. Smart MetersChallenge:Smart meter rollout to all UK homes and most SMEs by 2019Our response:Install circa 5,000 smart meters in homes across London’s 10 Low Carbon Zones and theGreen Enterprise District to understand how smart meters can impact customers’ energydemandUse smart meter data to inform smarter network operating techniques and improve LVnetwork 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. 16. Wind TwinningChallenge:UK Renewable Energy Strategy: 34GW of wind generation by 2020Matching electricity demand to intermittent generationOur 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. 17. Electric vehicles and heat pumpsChallenge:UK Low Carbon Transport: A Greener Future – 14% carbon reductionsfrom transport by 2020 and ‘substantial decarbonisation’ by 2050Mayor’s Electric Vehicle Delivery Plan – 1,300 public charging points by2013 and 100,000 electric vehicles in LondonUK Low Carbon Transition Plan calls for widespread electric heating andto eliminate gas consumption for domestic heating by 2050Our response:Through integration with Source London e-mobility scheme, monitorelectric vehicle charging behaviour and its impact on the electricitynetwork; investigate how time-of-use tariffs can influence customercharging behaviour to avoid overloading the networkExplore 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. 18. Enabling Distributed GenerationChallenge:UK Low Carbon Transition Plan: 30% of UK electricity from renewablesources by 2020Mayor of London’s renewable strategy target: 25% of electricity andheating from local generation by 2025Our response:Investigate the impact and enable the connection of distributed and local generation to thedistribution network and trial Active Network Management (ANM) techniques to asses howthey 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. 19. Demand Side Management (DSM)Challenge:Our low carbon electricity future is dependent on matching electricitydemand to available, intermittent supplyOur response:Monitor how energy efficiency schemes and time-of-use tariffs affectresidential & SME (Small and Medium Enterprises) customer electricity demandAssess the impact of these initiatives on the electricity networkWork with commercial aggregators to establish new demand response(DR) contracts with industrial & commercial customersCan 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. 20. Low Carbon London – Solution diagram 20
  21. 21. Low Carbon London RegularLearning 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. 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. 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 & CommercialRewards for helping to improve customersnetwork efficiency and understand Rewards for helping National Grid toopportunities of demand response balance national transmission system …the future today
  24. 24. Low Carbon LondonSmart 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. 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. 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. 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. 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. 29. Thank youLiam O’Sullivan, Programme Director, Low Carbon London liam.o’sullivan@ukpowernetworks.co.uk 07875115615 29
  30. 30. Any questions? 30
  31. 31. Learning Lab infrastructure and analysis Dr. Mark Bilton 06/07/2012
  32. 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. 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. 34. Outputs: reports overview Data Load profiles Interventions Meta analysisavailability 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 Resilienceestimation profiles tariff attitudes Smart Commercial EVs on profiles appliances arrangements
  35. 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. 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. 37. Learning Lab IT systems and data flows Topology, measurements, status and control actions. Secure server HighSmart performancemeters •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 timeTrial zone l Trail zone k steps.
  38. 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. 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. 40. Low Carbon LondonLearning LabAnalysis of Distribution Network in Low CarbonZones (LPN)
  41. 41. Contents • Key Objectives • Methodology • Case study – Queens Park LCZ • Results – Amberly road 6.6kv41
  42. 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. 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. 44. Analysis of Distribution Network in Low Carbon Zones (LPN)
  45. 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. 46. Amberly Road 6.6kV• HV length 67.51 km• No of customers ~33k• LV length ~183km
  47. 47. Amberly Road 6.6kV : Reinforcement Lengths
  48. 48. Amberly Road 6.6kV : Reinforcement Cost
  49. 49. Conclusion• Low voltage networks model• High voltage networks• Developed Dynamic Distribution Mode• Benefit assessment on smart technologies
  50. 50. Understanding the Consumer –Residential ToU TrialLondon 6th July 2012 Richard Carmichael With thanks to: Mark Bilton, James Schofield
  51. 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. 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. 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. 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. 55. Dynamic Tariffs © Imperial College Business School
  56. 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. 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. 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. 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. 60. Research MethodsData: • Statistical analysis• Customer data • Consumption patterns• Electricity consumption • Behaviour change data • Segmentation of households• Questionnaires • Qualitative analysis• Interviews (repeated) • further insights and enrich segmentationAnalysis: Imperial College Business School ©
  61. 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. 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. 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. 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. 65. Treatment Groups © Imperial College Business School
  66. 66. Data Collection Timeline © Imperial College Business School
  67. 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. 68. Thank you r.carmichael@imperial.ac.ukwww.imperial.ac.uk/business-school © Imperial College Business School
  69. 69. Calculating Carbonin Smart GridsDr Tony RookeUK Sustainability Services Practice Lead@carbon_rooket
  70. 70. We deliver sustainability services as a blend of skillsand experience Carbon Smart Management Utilities Sustainability Sustainable consultancy mobility Airwaves© Logica 2012. All rights reserved No. 70
  71. 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. 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. 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. 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. 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. 76. Pre-trial scoping: 0.6 billion tonnes of CO2e to 2050© Logica 2012. All rights reserved No. 76
  77. 77. Carbon impact calculation for the trials© Logica 2012. All rights reserved No. 77
  78. 78. Actuals from trialsTo come© Logica 2012. All rights reserved No. 78
  79. 79. Thank youLogica Business Consulting 7th Floor Kings Place www.logica.com/consultingContact: Dr Tony Rooke, UK Sustainability Services Practice Lead T: +44 7894258005 E: tony.rooke@logica.comLogica is a business and technology service company, employing 39,000 people. It provides business consulting, systems integration and outsourcing toclients around the world, including many of Europes largest businesses. Logica creates value for clients by successfully integrating people, business andtechnology. It is committed to long term collaboration, applying insight to create innovative answers to clients’ business needs. Logica is listed on both theLondon Stock Exchange and Euronext (Amsterdam) (LSE: LOG; Euronext: LOG). More information is available at www.logica.com
  80. 80. Getting Smart!Smart Utilities:Logica’s Smart Data ServiceRichard Hampshire | Smart Utilities
  81. 81. Logica Smart Utilities | ContextThe Energy Challenge Reliability of Supply Decarbonising Energy Exposure to Global Markets Consumers Impact on Energy disposable income Austerity?© Logica 2012. All rights reserved
  82. 82. Logica Smart Utilities | ContextSmart – 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. 83. Logica Smart Data Service | Service BenefitsManaged 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. 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 MDMSCustomer 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. 85. Our Propositions | Smart Data ServiceIn 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. 86. Our Propositions | Smart Data ServiceIn 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. 87. Logica Smart Utilities | What our clients say about our Smart Data ServiceLeave 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 weve seen and it’s really user friendly.” Sean Davies, Smart Metering Trials Senior Administrator, npower “Its 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 OSe, Metering Programme Manager, Bord Gáis Networks© Logica 2012. All rights reserved
  88. 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 Europes 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.

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