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Identifying Hidden Electricity Waste Ross Courtney ross@arkee.co.uk 01202 237700 www.arkee.co.uk
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What do I mean by ‘Hidden Electricity Waste’?
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Metering –Standard meter <100kW –Half-hourly meter >100kW (Rough rule of thumb - over £30,000 pa, but could be much lower)
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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
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Non Half Hourly Meter Data
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Half Hourly Meter Data
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Half Hourly Data
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One month Half-Hourly Data
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Other/Future Techniques Smart Meters AM&T Clip-on Display Meter
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What do we use?
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Electricity Usage Data
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Case Study & Examples
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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.
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Case study: Approach 24 hour analysis of usage Work with client on day end procedures to see if overnight usage can be reduced further
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Case study: Graphs
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Case Study: Graphs (Ch1) Before After
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Case Study: Graphs (Ch2) Before After
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Case Study: Graphs (Ch3) Before After
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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
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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
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Example 2: Usage Graphs
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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
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Example 3: Approach 24 hour electricity data analysis and diagnostics Individual equipment consumption check
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Example 3: Graphs
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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
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Questions?
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Thank you for listening Ross Courtney ross@arkee.co.uk www.arkee.co.uk 01202 237700
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