Identifying Hidden Electricity Waste

Ross Courtneyross@arkee.co.uk

01202 237700www.arkee.co.uk

What do I mean by ‘Hidden Electricity Waste’?

Metering

– Standard meter <100kW

– Half-hourly meter>100kW

(Rough rule of thumb - over £30,000 pa,

but could be much lower)

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

Non Half Hourly Meter Data

Half Hourly Meter Data

Half Hourly Data

One month Half-Hourly Data

0

50

100

150

200

250

300

350

00.00-01.00

01:00-02:00

02:00-03:00

03:00-04:00

04:00-05:00

05:00-06:00

06:00-07:00

07:00-08:00

08:00-09:00

09:00-10:00

10:00-11:00

11:00-12:00

12:00-13:00

13:00-14:00

14:00-15:00

15:00-16:00

16:00-17:00

17:00-18:00

18:00-19:00

19:00-20:00

20:00-21:00

21:00-22:00

22:00-23:00

23:00-00:00

Time

kWh

Fri 01/09/2006 Sat 02/09/2006 Sun 03/09/2006 Mon 04/09/2006 Tue 05/09/2006 Wed 06/09/2006Thu 07/09/2006 Fri 08/09/2006 Sat 09/09/2006 Sun 10/09/2006 Mon 11/09/2006 Tue 12/09/2006Wed 13/09/2006 Thu 14/09/2006 Fri 15/09/2006 Sat 16/09/2006 Sun 17/09/2006 Mon 18/09/2006Tue 19/09/2006 Wed 20/09/2006 Thu 21/09/2006 Fri 22/09/2006 Sat 23/09/2006 Sun 24/09/2006Mon 25/09/2006 Tue 26/09/2006 Wed 27/09/2006 Thu 28/09/2006 Fri 29/09/2006 Sat 30/09/2006Sun 01/10/2006

Other/Future Techniques

• Smart Meters

• AM&T

• Clip-on Display Meter

What do we use?

Electricity Usage Data

Case Study & Examples

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.

Case study: Approach

• 24 hour analysis of usage

• Work with client on day end procedures to see if overnight usage can be reduced further

Case study: Graphs

Case Study: Graphs (Ch1)

Before

After

Case Study: Graphs (Ch2)

Before

After

Case Study: Graphs (Ch3)

Before

After

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

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

Example 2: Usage Graphs

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

Example 3: Approach

• 24 hour electricity data analysis and diagnostics

• Individual equipment consumption check

Example 3: Graphs

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

Questions?

Thank you for listening

Ross Courtney

ross@arkee.co.uk

www.arkee.co.uk

01202 237700