Presentation on aspects of Smart eEnergy research within the Energy and Environmental Analytics research group of the OeRC, 18/10/16

1. 1
Smarter Energy -
Infrastructure services, consumption analytics and
applications
Prof David Wallom
Oxford e-Research Centre, Oxford University

2. HPC Engine and Storage
Next Generation Infrastructure
The Smart Grid
High Speed Communications System
Service
Restoration
Voltage
Control
Condition
Monitoring/
Data
Mining
Distribution
System
State
Estimation
Distribution Management System
Smarter Distribution
Computation and Data
as a Service
 Distribution System
State Estimation
 Service Restoration
Algorithms
 Condition Monitoring
 Voltage Control

3. Advanced Dynamic Energy Pricing and Tariffs (ADEPT)
Normalised daily
power demand
profiles for all
businesses by
sector
An illustration of the
differences between the tariffs
used and the typical variation
of the RT
How complex can and should a dynamic energy tariff be?

4. When should you change tariffs?

5. W I
CK
ED
http://www.energy.ox.ac.uk/wicked/
Analysing commercial energy consumption

6. W I
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http://www.energy.ox.ac.uk/wicked/
What effects do large energy efficiency projects have?

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http://www.energy.ox.ac.uk/wicked/
What effects do large energy efficiency projects have?

8. W I
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ED
http://www.energy.ox.ac.uk/wicked/
What contributions to my overall energy consumption
do different store types make?

9. W I
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http://www.energy.ox.ac.uk/wicked/
What contributions to my overall energy consumption
do different store types make?

10. W I
CK
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http://www.energy.ox.ac.uk/wicked/
Which of my property portfolio should I
concentrate investment on?

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http://www.energy.ox.ac.uk/wicked/
Which of my property portfolio should I
concentrate investment on?

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http://www.energy.ox.ac.uk/wicked/
Where should I be looking examples of best
practice?

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http://www.energy.ox.ac.uk/wicked/
Where should I be looking examples of best
practice?

14. W I
CK
ED
http://www.energy.ox.ac.uk/wicked/
Which of my property portfolio should I
concentrate investment on?

15. DIET – Data Insights against Energy Theft
• ~£400M in theft per year
• £8 - £20 per property per year
• Smart Metering only commercially
viable by reducing human
interaction.
• Data Insights against Energy Theft
(DIET)
• 2 year Innovate UK
• British Gas(Lead), G4S & EDMI
• 300k meters per day, commercial
customers
• 48 half-hour kWh readings per day
• Details of 200 confirmed theft events
provided by partners ‘on demand’
• How to scale to near real-time for
50M meters?
• ~50k potential theft triggers per day

16. What can analytics say about energy usage?
• Turning Data into Actionable Information;
– Supporting network functions
– Predicting and classifying costs when there is a shift in the type of tariff, e.g. shifting to a
real-time tariff from a fixed price tariff.
– Clustering of load profiles, determining behaviour type and/or consumer response
– Determining fundamental drivers of energy consumption