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Identifying Hidden Electricity Waste

This guide sheds light on 'Hidden Electricity Waste' and its impact on business costs. We explore metering types, including standard and half-hourly meters, and how to identify which one you have. Through compelling case studies from a public house, a children’s playgroup, and a restaurant, we demonstrate practical approaches to analyzing electricity usage, optimizing energy efficiency, and reducing costs. Discover the significance of 24-hour data capture, and learn how minor adjustments can lead to substantial savings on energy expenses.

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Identifying Hidden Electricity Waste

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  1. Identifying Hidden Electricity Waste Ross Courtney ross@arkee.co.uk 01202 237700 www.arkee.co.uk

  2. What do I mean by ‘Hidden Electricity Waste’?

  3. Metering • Standard meter <100kW • Half-hourly meter >100kW (Rough rule of thumb - over £30,000 pa, but could be much lower)

  4. Metering • What type do you have? MPAN (Meter Point Administration Number) Profile Type is ’00’ then Half Hourly, any other number then not half Hourly. Found on bills

  5. Non Half Hourly Meter Data

  6. Half Hourly Meter Data

  7. Half Hourly Data

  8. One month Half-Hourly Data

  9. Other/Future Techniques • Smart Meters • AM&T • Clip-on Display Meter

  10. What do we use?

  11. Electricity Usage Data

  12. Case Study & Examples

  13. Case Study • Activities: Public House (medium size) • Size: 3 full time staff, 12+ casual • Electricity use per year: £25,000 - £35,000 • Specific Issues: None • Other relevant information: Taken as a challenge, this pub has one of the lowest overnight usage figures in the south area (40+ pubs). Landlord is energy efficient aware and feels there are insignificant savings achievable. Note: Already have AMR & display meter.

  14. Case study: Approach • 24 hour analysis of usage • Work with client on day end procedures to see if overnight usage can be reduced further

  15. Case study: Graphs

  16. Case Study: Graphs (Ch1) Before After

  17. Case Study: Graphs (Ch2) Before After

  18. Case Study: Graphs (Ch3) Before After

  19. Example 2 • Activities: Children’s Playgroup • Size: 6 to 10 staff • Electricity costs per year: approx £8000 • Specific Issues: Received large bill for electricity usage from new supplier, creating a query on whether meter was reading correctly • Other relevant information: Government funded energy efficiency organisation had surveyed electricity and concluded there was a circa £2K difference between usage and billing

  20. Example 2: Approach • Perform 24 hour data capture and analysis • Cross reference to new energy supplier’s readings to see if there was a case for meter checks/replacements

  21. Example 2: Usage Graphs

  22. Example 3 • Activities: Restaurant • Size: 2 Staff (owner/operators) + casual • Electricity costs per year: Approx £7,000 • Specific Issues: Costs have increased more than expected. Owners suspected a chilling unit was not working correctly, could we verify and help them understand the cost implications if faulty • Other relevant information: None

  23. Example 3: Approach • 24 hour electricity data analysis and diagnostics • Individual equipment consumption check

  24. Example 3: Graphs

  25. Conclusions • Overnight usage can be significant (in these case studies 5%-25% reductions identified) • Many companies have limited access to meaningful data about their electricity usage • It is not always obvious what is wasting your energy

  26. Questions?

  27. Thank you for listening Ross Courtney ross@arkee.co.uk www.arkee.co.uk 01202 237700

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