Utility Transformation in a Smart Grid world

Transcription

1 Utility Transformation in a Smart Grid world December 15 th 2014 Naji Najjar Industry Leader Energy & Utilities Middle East & Africa [email protected]

2 Agenda 1. Introduction IBM in Energy & Utilities 2. Utilities in 2024, Smart Grid Progression 3. Five Technologies shaping the Industry 4. Our Point of View 5. The Power of Data Analytics 6. Conclusion 2

3 IBM founded in 2007 the Global Intelligent Utility Network Coalition to advance smart grid progress for over 110 million consumers around the world Houston, TX USA Advanced metering system implementation, integration and PMO, MDM and HAN, Smart Meter Texas Raleigh, NC USA Optimized energy value chain minimizing need for new fossil generation units, AMR-to-AMI strategic transition, advanced feeder modeling Washington, DC USA IUN blueprint, outage management, notification Arnhem, The Netherlands Organization-wide smart grid vision and strategy, smart grid PMO, fraud detection Copenhagen, Denmark VPP, EDISON, DMS integration, CBM Global IUN Coalition Paris, France Sensing & control, asset optimization for fault prevention, smart grid for Co2 reduction, AMM & communications network San Diego, CA USA Smart grid system implementation (Smart Green Grid), condition based maintenance, OMS/DMS, smart grid communication strategy Dallas, TX USA Advanced metering system implementation, integration and PMO, MDM, Business Analytics, Security, Smart Campinas, Brazil Smart Meter for I&C (Group A meters), Mobile Workforce, and Distribution Automation New Delhi, India Smart grid governance structure, smart grid roadmap (in planning) Queanbeyan, Australia IN strategy and customized IN blueprint, organizational impact of smart grid, IN Research & Demonstration 2014 Center IBM Corporation

4 IBM has worked with Utilities around the world to develop solutions that transform the energy value chain Pacific Northwest National Laboratory San Francisco Public Utilities Commission Hydro One Inc. DTE Energy Oncor CenterPoint Energy Fingrid Ontario DONG Energy Energy Board Hildebrand Ecotricity npower Endesa S.A. Red Electrica Consumers Energy de Espana Texas Electric Delivery Company STEMAC EnBW MVV/City of Mannheim ASM Brescia Enemalta OAO Novatek TNB Remaco Pakistan JSC Generation China Power State Grid Corp. of China Uttarakhand Power Corporation Mytrah Energy Guangdong Dapeng LNG Light S.A. Eletrobrás Termonuclear Empresa Distribuidora La Plata S.A. Gasnor S.A. Eskom Ausgrid Essential Energy Genesis Energy

5 The size, depth and breadth of IBM s contributions to smart meter projects confirms IBM as a smart meter leader IBM has supported smart meter programs representing: 150 million installed or planned electric meters globally, supported by IBM In excess of 120 utilities, globally 7 of the 10 largest Smart Meter rollouts Utility Southern California Edison, US American Electric Power, US Pacific Gas & Electric, US Electric Meters (million) IBM main system integrator IBM role 5.5 Primary PM, system selection and integrator 5.0 Primary system integrator and Smart Grid support 4.9 Primary PM and integrator UK Energy Retailer N/A Program planning Independent Electricity System Operator, Canada Florida Light & Power, US 4.5 Integrator and service operator for multi-utility MDMS 4.5 Program management support First Energy, US 4.5 Planning, architecture, network communications planning and business case development RWE npower, UK 4.1 Impact of Smart Metering on SAP CCS implementation ConEd, US 3.1 MDMS implementation Oncor, US 2.9 Primary PM and systems integrator Entergy, US 2.6 Business case and planning ESB Networks, Ireland CenterPoint Energy, US A2A Brescia / A2A Torino & others, Italy Consumers Energy, US Pepco Holdings Inc., US 2.0 System selection and integration 1.9 Primary system integrator and Smart Grid support 2.0 Primary PM, system integrator and hardware procurement 1.8 Smart meter pilot support 1.8 System selection and MDMS integration Enemalta, Malta 0.3 Primary PM, system integrator and hardware procurement

6 Agenda 1. Introduction IBM in Energy & Utilities 2. Utilities in 2024, Smart Grid Progression 3. Five Technologies shaping the Industry 4. Our Point of View 5. The Power of Data Analytics 6. Conclusion

7 The Energy and Utilities industry will change significantly by ADR Smart appliances become ubiquitous Consumers can easily sell surplus energy to the grid or contract with a third party Regulatory environment allows new business opportunities for energy providers Battery technology will become increasingly available Automated Demand Response will be used to control peak demand Electric vehicles are affordable, and utility-sponsored purchasing programs are available Home energy management systems are inexpensive and prevalent Consumer-owned generation is affordable for the average household Microgrids emerge where existing infrastructure is insufficient There is an app for that.. consumers will connect to their utility via their smart phone

9 New technologies are influencing traditional operations Forces that influence the status quo and drive change The Internet of Things IT and OT convergence Highly sophisticated but siloed instrumentation Hierarchal, defined interactions Interconnects to create unified, intuitive context across systems Are evolving to flatter, multi variable interactions Situational Awareness Big Data Cloud Specialized, internal management processes System specific, functional data Traditional IT capital expense and lengthy time to value Expand and discover patterns to predict events and measure confidence Comes from varied sources with more accuracy, transforming analytic applications Evolve to enable new business models with more scale and agility

10 Energy & Utilities will be one of the largest generators of data by 2015 How can this data be leveraged? Asset Performance Optimization Condition and Predictive Maintenance The data can be leveraged across all operational systems in an energy utility Field Service Management Generation Performance and Integration Meter Data Analysis Customer Management Financial Analysis Grid Analysis & Management Renewable & Distributed Generation

12 The IBM Energy & Utility Point Of View, Three Parts OUR POINT OF VIEW 1. Viable Substitutes Rise introducing the business and technical challenges of intermittency, dispatchability and disintermediation WHAT WE SEE SHIFTING Alternatives reach grid parity while renewables and storage mainstream and demand response increasingly balances supply. TRADITIONAL UTILITY Coal/Natural Gas Nuclear Coal/Natural Gas Hydroelectric Solar Solar TRANSFORMED Solar UTILITY Energy Storage Wind Plug-in Vehicle Nuclear Wind Energy Storage STRATEGIC IMPERATIVE Wind Assume the role of energy integrator. Strategic Imperative #1 Being the energy integrator requires system(s) of engagement that optimally balance all supply and demand points delivering safe, secure, reliable and efficient electricity service

13 The Energy Integrator requires advanced systems of engagement, which are capable of sharing information across operating domains EMS HAN Portal Planning Demand Mgt DER AMI E V Customer Operations Energy Efficiency Customer Services GIS Outage EMS ADMS Grid Operatio ns Information Exchange OMS Scheduling Construction Line Automation Substation Automation Work & Asset Operations Crew Optimization Asset Monitoring Asset Mgt Workforce Mgt Mobility Smart Grid Reference Framework

14 The IBM Energy & Utility Point Of View OUR POINT OF VIEW 2. Customer Engagement Deepens through rich and instant interaction delivered via social and mobile apps WHAT WE SEE SHIFTING Per capita demand is rising but energy intensity is sinking and prosumer supply is expanding driving a more sophisticated and economically challenging customer interaction. STRATEGIC IMPERATIVE Deliver a 360 degree customer of one experience. Strategic Imperative #2 A customer of one experience is rich, social and mobile

15 The IBM Energy & Utility Point Of View OUR POINT OF VIEW 3. Core Expectations Persist requiring the continued delivery of safe, reliable and low cost energy with sustainability embedded WHAT WE SEE SHIFTING Grid essentiality is challenged with OPEX agile new entrants emerging and growth stunted by #1 and #2. STRATEGIC IMPERATIVE Disrupt business processes through analytics driven operational excellence. Strategic Imperative #3 Analytics driven operational excellence is Intelligence

17 Data is becoming the world s NEW Natural Resource Smarter energy analytics systems: Leverage data to drive new levels of operational efficiencies Support energy company challenges to reduce operational costs and improve asset reliability Traditional approach Hierarchal, defined interactions Disconnected systems, siloed stakeholders Reactive to disruptions and events Custom solutions, hard to scale Customers as ratepayers only Smarter approach Unified, multi-variable operations Contextual awareness, common operating picture Operational insight, proactive intervention Flexible foundation, application ecosystem Customers actively engaged

18 Analytics driven can help Utilities achieve operational excellence What happened? What actions are needed now? Why is this happening? What will happen? What s the best that can happen? Reporting Alerts Analysis Predictive Modeling Optimization

19 Business Value Analytics operational excellence applied to assets Maintenance Sample Maintenance Maturity Model Source: Forrester 2014 Performance based Maintenance Based on perfromance milestones (e.g miles) Time based Maintenance Condition based Maintenance Based on (near) realtime KPIs (e.g. temperature) Reliability centered Maintenance Minimizing predicted maintenance based on business and safety aspects Prescriptive Maintenance Suggesting best practice action based on predictive forecast Following fixed schedule Repair based Maintenance Preventative Maintenance Based on a combination of time, performance and condition Predictive Maintenance Based predictive failiure forecast Based on failiure notice Historical Data (Near) Real-time Data Predictive Data

20 Analytics enabling OT & IT Convergence.. Animated Slide Analytics driven operational excellence requires an enterprise view of analytics with a common foundation EMS HAN Portal WAMS EMS Grid Analytics Planning Construction Grid GIS Operations Domain DMS Demand Line Automation Response OMS Substation DER EV Security Automation Integration Analytics Analytics Communications CBM AMI Remote Asset Monitoring Analytics Foundation Process Automation Asset Mgt Crew Optimization IT Infrastructure GIS Customer Domain Customer Analytics Outage Analytics Scheduling Work & Asset Domain W&A Analytics Progressive performance improvements will be realized by accessing data from other Domains and 3rd parties MWF Energy Efficiency Customer Services Remote Device Monitoring

21 Example Customer Operations, AMI Information to Grid Operations Customer Operations AMI AMI information Positive Outage Notice Positive Restoration Nots Voltage Amperage Frequency Power Factor Consumption Data KwH Delivery Data KwH Meter Health Theft METER META DATA Meter s/n Base s/n Physical address Connecting Traffo BUSINESS VALUE DRIVES Information Exchange T&D Grid Operations Outage Examples of Uses of AMI information in Grid Operations Input to Outage Mgmt. Planned Outage Unplanned Outage Input to Distribution Mgmt. Local peaking, congestion, overloading Demand Response Load management Grid Technical Losses & Efficiency Theft VAR Control feedback Grid Design Asset Sizing Power Quality - Voltage, Current, freq, PF System planning Distributed Generation Distribution Load research Predictive Maintenance Forecasting

22 IBM Insights Foundation for Energy is a data management, visualization and analytics software solution that includes a broad range of pre-integrated analytic technologies. Open Standard Based Any data and source, structured (e.g. sensors) Unstructured (e.g. Social, Work Orders) Foundation Applications

23 IBM Insights Foundation for Energy leverages existing investments Outage Mgt System 23 IBM Confidential 12/28/201

25 The IBM Energy & Utility Point Of View OUR POINT OF VIEW 1. Viable Substitutes Rise introducing the business and technical challenges of intermittency, dispatchability and disintermediation OUR POINT OF VIEW 2. Customer Engagement Deepens through rich and instant interaction delivered via social and mobile apps OUR POINT OF VIEW 3. Core Expectations Persist requiring the continued delivery of safe, reliable and low cost energy with sustainability embedded WHAT WE SEE SHIFTING Alternatives reach grid parity while renewables and storage mainstream and demand response increasingly balances supply. STRATEGIC IMPERATIVE Assume the role of energy integrator. WHAT WE SEE SHIFTING Per capita demand is rising but energy intensity is sinking and prosumer supply is expanding driving a more sophisticated and economically challenging customer interaction. STRATEGIC IMPERATIVE Deliver a 360 degree customer of one experience. WHAT WE SEE SHIFTING Grid essentiality is challenged with OPEX agile new entrants emerging and growth stunted by #1 and #2. STRATEGIC IMPERATIVE Disrupt business processes through analytics driven operational excellence.

26 One-way flow Participatory network Smart Grid Progression is iterative and enabling projects are happening in parallel Measure and control Gain observability over the network and automate control functions Integrate customers and providers with the network and enable participation and conversation Connect participants Monitor and automate (Network) Share information, analyzing and acting upon it to balance supply with demand given real-time conditions Sense & respond Optimize network using rules, constraints and intelligent agents Orchestrate the network and all its participants to continuously assure an outcome that is better than the sum of the individual parts Analyze & optimize Basic Functionality Progress/maturity over time Advanced Functionality 26

27 Lessons Learnt from Smart Grid Implementations Sustained Senior Commitment Invest in People Process Technology Establish an enterprise wide architecture vision Data Analytics, an accelerator of Business Value Program management is mandatory Winning Team comprises of OT and IT partners Revisit your smart grid plan annually, as the world is changing