Smarter Energy, Infrastruture service, consumtion analytics and applications

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Smarter Energy -Infrastructure services, consumption analytics and applicationsProf David Wallom Oxford e-Research Centre, Oxford University

HPC Engine and Storage

Next Generation Infrastructure

The Smart Grid

High Speed Communications System

Service Restoration

Voltage Control

Condition Monitoring/

Data Mining

DistributionSystem State

Estimation

Distribution Management System

Smarter Distribution

Computation and Data as a Service

Distribution System State Estimation

Service Restoration Algorithms

Condition Monitoring

Voltage Control

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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?

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When should you change tariffs?

W ICK ED

http://www.energy.ox.ac.uk/wicked/

Analysing commercial energy consumption

W ICK ED


What effects do large energy efficiency projects have?

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What effects do large energy efficiency projects have?

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What contributions to my overall energy consumption do different store types make?

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What contributions to my overall energy consumption do different store types make?

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Which of my property portfolio should I concentrate investment on?

W ICK ED



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Where should I be looking examples of best practice?

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Where should I be looking examples of best practice?

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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

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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

Science

Smarter Energy, Infrastruture service, consumtion analytics and applications