Top Banner
Nick Hunn
28
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: TechWorld Nick Hunn presentation

Nick Hunn

Page 2: TechWorld Nick Hunn presentation

Smart Meters

More than just automated metering

Nick HunnCTO

Page 3: TechWorld Nick Hunn presentation

In Home Displayunit

Home Area Network

Smart meterelectricity

Smart metergas

Wide AreaNetwork

Smart MeteringSystem

SmartAppliances

AuxiliarySwitches

Generator

Other devices

DataCommsCo

The proposed UK system

Between 2014 and 2019, the UK is planning to install over 47 million smart meters and supply 27 million In Home Displays to domestic consumers.

Page 4: TechWorld Nick Hunn presentation

Electricity Gas

Remote reads at defined time periods

Two way comms

HAN to provide “real-time” consumer information

Support for time of use tariffs

Remote control load management

Remote enablement and disablement of supply

Exported electricity measurement

Support for microgeneration

The UK Programme – High Level Functionality

Page 5: TechWorld Nick Hunn presentation

Benefit Area Benefit Description

Consumer Benefits Energy Saving

Load shifting

Customer switching

Time-of-use Tariffs

CO2 reduction

Supplier Benefits Avoided meter reading

Inbound enquiries

Customer service overheads

Debt handling

Avoided prepayment costs (domestic only)

Remote disconnection

Avoided site visit

Other benefits Reduced losses

Reduced theft

Microgeneration

Identified benefits for the UK

Page 6: TechWorld Nick Hunn presentation

Proposed UK smart metering responsibilities

Page 7: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

The growth of data

The transitions through this data path for utilities are massive. Each step increases the volume of data that needs to be captured and processed by a factor of thousands. For the UK population, that’s:

Analogue world – 30 million readings / year

Smart metering – 500 billion readings / year

Smart living – 900 trillion readings / year

It needs a special levels of expertise to capture, store and analyse this quantity of data in a cost effective way.

Page 8: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Moving beyond Smart

Making it more than just automated metering

Page 9: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Onzo’s Smart Energy Kit – a Smart IHD

An energy harvesting, self-installed, high accuracy clamp.

An easy to read display with energy tools to help behaviour change.

Page 10: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

The end to end systemAdrian’s graphic

Sensor

ZigBee

Page 11: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Our Experience of:

~ 800 billion customer readings

and how they can help consumers

Page 12: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Engaging the Customer

Otherwise why will they bother?

Page 13: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

It offers the consumer web engagement

Page 14: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

GridWatch

BaseCheck

Other Use 6.08 kWhr5.77 kWhr

2.09 kWhr1.82 kWhr

1.84 kWhr 1.61 kWhr

Total: 10.0 kWhr 9.2 kWhr

Overall Energy Usage reduced by 8%.

Peak use shifted by 5%

No financial incentives.

And they do change behaviour

Download the report at:

www.onzo.com/docs/ihd1

Page 15: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

The Value of Data

How we know this and what else we can learn

Page 16: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Appliance Inference – Applying intelligence

We read real and reactive power every second from a single feed from our sensor.

The data is compressed using wavelet compression to reduce the data flow by a factor of around 20:1.

We have amassed a database of 1600 household devices to perform blind detection of appliances.

Page 17: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

From kettles…

Page 18: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

To multiple appliances

Page 19: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Users can see the effect of each appliance

Page 20: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

How they use them over time

Page 21: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

And how they all add up

Page 22: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Which makes itemised smart bills possible

Page 23: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

But there’s more…Data analytics mean utilities can develop new services

Page 24: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Appliance Condition

We know what a fridge looks like when it's working:

Page 25: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Appliance Condition

We know when it is about to fail. Here the compressor is not cycling.

Page 26: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

So we can warn the consumer

Page 27: TechWorld Nick Hunn presentation

TechWorld 2011 – 17th November 2011. Copyright © Onzo 2011.

Customer Support Knowing which appliances are being used and when? Alerting customers to change in usage when new appliances are detected. Knowing when it is the right time to call.

“Nudge Tariffing” Determining which customers have the capacity to change their usage patterns by analysing current usage. This is far more effective than the blunt stick of dynamic pricing.

HVAC Providing smart climate control that uses appliance detection and derived occupancy to adjust the HVAC to optimise performance and comfort levels.

Smart Maintenance Detecting appliances in use and their condition to allow intelligent preventative service plans to be offered.

Assisted Living Monitoring usage patterns to support independent living.

EV Charging Determining the household use patterns that can gauge when and how much to charge an electric vehicle.

Virtual Power Operators Providing the usage information to allow Virtual Power Operators to tailor tariffs to individual users on a daily basis.

This ability does not just improve existing business models, it allows completely new ones, as well as new business opportunities.

Generating insight and value from data

Page 28: TechWorld Nick Hunn presentation

Nick HunnCTO

M +44 7768 890 [email protected] www.onzo.com 6 Great Newport Street, London, WC2H 7JB, UK.

Thank you for listening.

Questions?

Download the White Paper at www.onzo.com/docs/ihd1