Evolution of Meter Data Management

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1 Evolution of Meter Data Management April, 2015

2 Agenda Global Deployment of Smart Meters MDM Revenue Forecasts How intelligent are Current Smart Meter Deployments? Evolution of Meter Data Management Competitive Dynamics Final Thoughts 2

3 Global Deployment of Smart Meters Some significant rollout of meters, although many regions still with much to do Europe: Slower than expected rollouts, but consistently expanding installed base. Level of Market Growth = Completed Rollout North America: Over 50 million meters installed. China: 300 million with full rollout before = Significant Penetration of Meters = Planned Rollout 3

4 MDM Revenue Forecasts Strong growth forecast for MDM Associated cost of meter data management and the resultant data analytics benefits will inform utilities spending on MDM in the future 4

5 How Intelligent are Current Smart Meter Deployments? Not every rollout has maximum intelligence or with short interval readings The current landscape of legacy AMR networks will reveal various routes to applying MDM and the resultant use of customer- and grid- facing data analytics AMI transition Penetration of interval meters Integration with customers systems Integration with the rest of the grid Time 5

6 Evolution of Meter Data Management Increasingly to become the key enabler for smart grid fulfillment Analytics put the Smart in Smart Grid: Energy systems become smart with more effective use of grid data and increased visibility of the LV network and household consumption at real time Traditional AMR & AMM Traditional MDM Traditional Integration Grid Integration Data Collection & Asset Management Database Management Customer facing applications Grid facing applications Remote meter readings, management & supervision Includes workflow management Integration with GIS Validate, edit, estimate (VEE) Warehousing Processing Profiling Accessing Reporting Application integration Billing & Invoicing Customer Information Systems Revenue Assurance Customer web interface CRM GIS integration Outage Management Load forecasting Demand Response Load curtailment Distribution Automation Management Systems Voltage and Power Quality Management Transformer Load Management 6

7 For Utilities in Transition to AMI The first priority is in revenue assurance for accurate billing and feedback to the grid Moving away from reporting, billing and settlement requirements, utilities must consider the value of available meter data for customer- and grid-facing applications Traditional AMR & AMM Traditional MDM Traditional Integration Grid Integration Data Collection & Asset Management Database Management Customer facing applications Grid facing applications Utilities are in the middle of smart meter deployment but don t think about advanced analytics and true business value of data Leading IT vendor Until recently we used Excel to store data records.'' Municipal utility We have just invested in the last 3 years in new meters. ROI will be an important contention point for more budget. Utility in Southeast Asia 7

8 Meter Data Management Systems as a Launchpad What can more granular data of consumption do for the Utility? Utilities following traditional ways of utilising data, as we have seen previously, is inefficient. New sources of data add to the complexity of benefiting from available intelligence Customer databases Traditional sources of data (historical and structured) Asset specifications Historical consumption data Historical price data Calendar data and weather forecasts GIS data Smart meter and smart grid data Mobile workforce data Connected cars Real time price data Social media (unstructured data) Real-time weather data New sources of data (real time data, structured and unstructured, very large in volume) 8

9 Convergence of Key Systems In 2020s Utilities, TSOs, DNOs to have same visualisation of the grid Simple reporting tools New sources of data large in volume Advanced analytics and forecasting : Big data analytics, visualization and reporting as the core business value Flexible intelligence for synchronization and analysis of big data spread across separate systems 2017: Slow adoption of big data: Collection, processing and storage of smart meter data for billing, reporting and settlement on a commercial scale Steady leverage of new big data sources and clarification of use cases < 2013: Simple business intelligence (BI) and traditional data management tools Big data pilot projects run only by the most innovative utilities and organisations Most pilot projects focused on smart metering Emergence of data-driven utilities Data-based business model transformation Traditional approach to data and data management 9

10 The Future? Cloud-based Meter Data Management An inevitable change to influence utilities adoption rates Cloud computing as a delivery mechanism is an effective way to overcome utilities financial obstacles to fully utilise meter data intelligence Europe s utilities were worth 1 trillion in 2008 now worth 500 million. Harder to secure finance, leading to great reluctance to use more advanced analytics within meter data management systems Cloud based solutions are a must if vendors are to target smaller sized utilities with limited skillset and financial budget Source: Economist, Frost & Sullivan 10

11 Technology Trends What do utilities actually want with MDM? Big data analytics and forecasting software will become the cornerstone of utilities business. Analytics services will be the main source of business value for utilities Customer-oriented analytics Contact Centre analytics Data-driven customer communication Data-driven processes Analytics and forecasting tools for asset optimisation, load forecasting, demand response Customer oriented analytics Data-driven services Data-driven resource management Grid monitoring Workforce analytics 11

12 A dichotomy in utilities and customers expectations AMI is thought of as a self-benefiting project for utilities Customer oriented analytics could bridge the gap in expectations Utilities Customers Preserve revenue via billing Improve load management Increase workforce productivity Reduce outage and subsequent penalties Optimise assets lifespan Affordable, predictable, accurate energy bills Minimised risk of power cuts Quick return to service Real time updates of incidents Effective call centres 12

13 Competitive Dynamics Convergence of ICT and industry New market entrants in the form of new companies or communications service providers add to an already fragmented MDM market MDM vendors Meter manufacturers IT vendors Industrial vendors Communications service providers 13

14 Meter Manufacturers Urgently seeking new revenue streams A sub-sector in need of embracing mobility, cloud, data & analytics to offer different pricing modes for their utilities customers Key objective: Develop recurring revenue streams. Transformation to a service oriented entity by leveraging maturing of cloud computing as a delivery mechanism E.g. MDM-as-a-Service Enjoys an active and eager ICT community to become partners in this business transformation Eg Ericsson and Deutsche Telekom 14

15 MDM Vendors Niche players have sustained market share despite recent consolidation A fragmented utilities landscape supports a fragmented MDM market. Not every utility wants or needs an end-to-end solution Presence of transitional and smaller scale utilities support mid-sized or niche MDM vendors Offers a viable route to market to new entrants such as IT start-ups or telecoms service providers Technological roadmap with element of analytics software becomes an enduring competitive asset Itron, emeter, Oracle, Landis+Gyr Elster EnergyICT, Telvent/Schneider Electric, Gorlitz, Kamstrup Ferranti, Aclara, Powel, (Robotron & Fröschl*) 15

16 IT vendors Leveraging systems integration skills but also flashing data analytics credentials The future of MDM is in the degree of integration with the rest of the grid and the extent to which data is being used for cost and revenue purposes Key objective: Establish credentials in helping utilities better utilise available data IT architecture could be changing particularly as utilities embrace cloud computing. Related cloud expertise is essential; privacy and compliance requirements and business continuity needs Crucial link to all forms of AMI projects. Risks being complacent and miss out on new ways of collaboration 16

17 Communications Community Also seeking new routes to market in energy sector transformation A new market entrant that enhances the traditional MDM marketplace Key objective: Develop a sustainable new revenue stream around connectivity and infrastructure Expertise in enabling cloud computing is also a strong advantage for the eco-system Is a viable route to market for established MDM eco-system as these stakeholders are keen to collaborate and can fill skills gaps. E.g. Ericsson and Landis+Gyr, Deutsche Telekom and SAP 17

18 Final Thoughts MDM future is software - & cloud-based, requires scale and will accelerate use of data 1 MDM capability will continue to expand deeper and wider within the grid 2 The delivery of MDM will be software and cloud based 3 Flatter utilities IT architecture to better utilise grid data 18

19 Questions Jonathan Robinson Senior Consultant Energy & Environment

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