Identifying Hidden
Electricity Waste
www.arkee.co.uk
Ross Courtney
ross@arkee.co.uk
01202 237700
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
350
300
250
kWh
200
150
100
50
0
23:00-00:00
Wed 06/09/2006
Tue 12/09/2006
Mon 18/09/2006
Sun 24/09/2006
Sat 30/09/2006
22:00-23:00
Tue 05/09/2006
Mon 11/09/2006
Sun 17/09/2006
Sat 23/09/2006
Fri 29/09/2006
21:00-22:00
Mon 04/09/2006
Sun 10/09/2006
Sat 16/09/2006
Fri 22/09/2006
Thu 28/09/2006
20:00-21:00
Sun 03/09/2006
Sat 09/09/2006
Fri 15/09/2006
Thu 21/09/2006
Wed 27/09/2006
19:00-20:00
Sat 02/09/2006
Fri 08/09/2006
Thu 14/09/2006
Wed 20/09/2006
Tue 26/09/2006
18:00-19:00
Fri 01/09/2006
Thu 07/09/2006
Wed 13/09/2006
Tue 19/09/2006
Mon 25/09/2006
Sun 01/10/2006
17:00-18:00
16:00-17:00
15:00-16:00
14:00-15:00
13:00-14:00
12:00-13:00
11:00-12:00
10:00-11:00
09:00-10:00
08:00-09:00
07:00-08:00
06:00-07:00
05:00-06:00
04:00-05:00
03:00-04:00
02:00-03:00
01:00-02:00
00.00-01.00
Time
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