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Customer Profiles – Analysing the customers of today

Customer Profiles – Analysing the customers of today. Peter Davison Durham University. The aims of CLNR. WHY? S o UK Distribution Network Operators (DNOs) can be robust to the challenges and are able to exploit the opportunities presented by decarbonisation WHAT?

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Customer Profiles – Analysing the customers of today

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  1. Customer Profiles – Analysing the customers of today Peter Davison Durham University

  2. The aims of CLNR • WHY? • So UK Distribution Network Operators (DNOs) can be robust to the challenges and are able to exploit the opportunities presented by decarbonisation • WHAT? • What is the optimum mix of technical, social and commercial interventions to facilitate the transition to a low carbon economy.

  3. How do we tackle the problem? • Heat pump cluster • Focussed integrated network technology on rural and urban network: • Enhanced automatic voltage control • Real-time thermal rating • Electrical energy storage National smart meter data offers baseline electricity profiles • Analysis of new loads and generation • Active customer participation to minimise electricity costs through flexibility • PV generation cluster

  4. Learning outcomes • Learning Outcome 1 - Monitoring:What are current, emerging and possible future customer (load and generation) characteristics? • Learning Outcome 2 – Customer flexibility: To what extent are customers flexible in their load and generation, and what is the cost of this flexibility? • Learning Outcome 3 – Network flexibility: To what extent is the network flexible and what is the cost of this flexibility? • Learning Outcome 4 – Optimum solutions: What is the optimum solution to resolve network constraints driven by the transition to a low carbon economy? • Learning Outcome 5 – Effective delivery: What are the most effective means to deliver optimal solutions between customer, supplier and distributor?

  5. Data Analysis • 14,000 I&C customers, ½ hourly - 2 years • ≈4,500 residential customers, ½ hourly - 1 year • 9,000 target • 1,700 SME , ½ hourly - 1 year • 2,250 target • Plus network monitoring LV, RTTR … • Test Cell 1 data alone is comparable to the size of the Irish Trials, we have 20 test cells

  6. Industrial and Commercial Customers (CDCM)

  7. Smart Meter Data (4,500 customers)

  8. Smart Meter Data (4,500 customers)

  9. Effect of Sample Size

  10. January 2012 Analysis

  11. Extreme Weather Analysis Coldest November since 1993 2nd warmest November in 100 years

  12. Extreme Weather Analysis Coldest April for 23 years Warmest April since 1910

  13. Urban Customers

  14. Rural On Gas

  15. Tuesday

  16. Wednesday

  17. Thursday

  18. Monday

  19. Friday

  20. Weekday

  21. Weekday / Weekend

  22. Thank you for listeningAny Questions?

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