Presentation Transcript

1. EU-US ENERGY COUNCILTechnology Working Group

   Assessing Smart Grid Benefits and Impacts: EU and U.S. initiatives VincenzoGiordano EttoreBompard European Commission DG JRC Steve Bossart US Department of Energy National Energy Technology Lab 2013 IEEE PES Innovative Smart Grid Technologies February 26, 2013
2. Topics Objectives Background Areas of collaboration Smart grid definitions Smart grid investments Project inventory Performance and progress Build metrics Impact metrics Dissemination Future Collaboration
3. Objectives
4. Objectives of Joint EU-US Collaboration on Smart Grid Make sure we speak the same language when it comes to Smart Grid definitions, terminology and methodological approaches Build common approaches in assessment framework for smart grid advances, benefits, and impacts, as well as in information sharing, leading to practical future opportunities for transnational cooperation
5. Background
6. Two workshops with EU and US Smart Grid experts (Albuquerque Nov 2010, Washington DC Dec 2011) "EU-U.S. Workshop on Assessment Methodologies for Smart Grid: Advances, Benefits, and Impacts" Joint DoE- JRC report "Assessing Smart Grid Benefits and Impacts: EU and U.S. initiatives" Background
7. Areas of Collaboration
8. ISGAN ANNEX I ISGAN ANNEX II ISGAN ANNEX III ISGAN ANNEX IV Primary Areas of Joint Collaboration
9. Smart Grid Definitions
10. What is a Smart Grid? EU - A Smart Grid is “an electricity network that can intelligently integrate the behavior and actions of all users connected to it - generators, consumers and those that do both - in order to efficiently ensure sustainable, economic and secure electricity supply” [EC Smart Grid Task Force]. US - A Smart Grid uses digital technology to improve reliability, security, and efficiency (both economic and energy) of the electric system from large generation, through the delivery systems to electricity consumers and a growing number of distributed-generation and storage resources [DOE System Report].
11. Context of Smart Grid
12. Smart Grid Investments
13. Smart Grid Investments
14. Smart Grid Project Inventory
15. US –Inventory of Smart Grid projects 99 projects under SGIG total budget $8.1 billion 32 projects under SGDP total budget $1.7 billion Submission of project information is required under the project scheme Inventory of all US Smart Grid projects is underway (ISGAN)
16. US –Inventory of Smart Grid projects www.sgiclearinghouse.org
17. Progress and Performance
18. Policy goals and business case European Union United States How much are we progressing toward a Smart Grid? How do we measure the level of smartness? Which smart grid solutions have a viable business case? For whom? KPI analysis Cost & benefit analysis Metrics & benefits analysis Tools: Smart Grid Computational Tool Energy Storage Computational Tool
19. Features of the Ideal Smart Grid - Services versus Characteristics
20. DOE Analytical Approach Example What does the Smart Grid do? How does it do that? What “goodness” results? What is the goodness worth? What are Smart Grid technologies? Assets Functions Mechanisms Benefits Monetary Value Capacitor controls Distribution Management System Automatic Voltage and VAR Control Improves feeder voltage regulation Reduced feeder losses worth $60 per MWh $6000
21. US – Build Metrics Key Questions to Address 1. What was purchased, built, and deployed? • # of assets or programs • Type of assets or programs Configuration of assets 2. How much did it cost? • Cost segmentation: assets, labor , and specific asset type 3. Where was it installed? • NERC Region, State, or recipient locations 4. How much of the system was affected? • % of system, % of customers, % of load 5. What does it do? • Characteristics of assets or programs: Intended function or use of assets
22. Smart Grid Functions
23. Energy Storage Applications
24. Benefits Analysis Framework .
25. Five Primary Analytical Focus Areas Operations & Maintenance Savings from Advanced Metering Meter reading Service changes Outage management Peak Demand and Electricity Consumption Advanced metering infrastructure Pricing programs & consumer devices Direct load control Distribution System Reliability Automated & remote operations Feeder switching Monitoring & health sensors Energy Efficiency in Distribution Systems Voltage optimization Conservation voltage reduction Line losses Operational efficiency Transmission System Operations & Reliability Application of synchrophasor technology for wide area monitoring, visualization, and control
26. SGIG Consumer Behavior Studies: Overview of Research Topics Given the diversity of studies being undertaken as part of the SGIG program, we have a unique opportunity to evaluate issues in several topical areas: Research Topical Areas Customer Acceptance: What motivates customers to accept time-based rate programs? Customer Retention: What motivates customers to remain on time-based rate programs? Customer Response: Will customers respond, and if so by how much will they respond, to time-based rate programs? Role of enabling technology and information/education: Will customers respond, and if so by how much will they respond, to control and/or information technology and/or education alone?
27. Dissemination
28. Dissemination platforms - US www.sgiclearinghouse.org www.smartgrid.gov www.energy.gov/oe/technology-development/smart-grid
29. Future Collaboration
30. Future EU US Collaborative Smart Grid Work Mapping activities Coordination of EU and US mapping exercises of Smart Grid projects within the ISGAN framework. Clarify definition of large- and small-scale demonstrations, & R&D, demonstration and deployment Extrapolation of project results Possible approaches to scale-up project and meta-analyses results to larger control areas Project Assessment Approaches to capture non-quantifiable impacts (e.g., social, environmental) Approaches to capture best practices and lessons learned Case Study Analysis Evaluate use of SGCT and ESCT Parallel consumer behavior studies Approaches to capture best practices and lessons learned Other Areas Clarify driver differences between EU and US and how assessment methodology reflects differences