Stephen Galsworthy, Toon

Saving energy with Apache Spark and Toon

#EUds10 #ToonTalks

31 October 2017

Data management

Solar solution

Network

Mobility

Control by demand

Heat pump

Services

Storage

The beating heart of your smart life

�Smart Platforms & Energy Services

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Boiler adapter

Z-Wave

Meter adaptor

Gas sensor

Electricity sensor

Philips Hue

Z-Wave

Toon data sources

Central heating system

Solar panels

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Scale of Toon data

100 MB data per user

collected per month

350,000 thermostats installed

300 types of sensor and

user interaction

data

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Data Privacy

Data from all Toons is collected and stored

anonymously. Data is tagged with an anonymous ID,

generated locally on Toon.

The end user maintains control over this key and we

only use data in a non-anonymous way when a

customer explicitly opts-in.

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Toon Innovators

Innovators agree to share their data for research

and product development.

In return they they are first in line to try out our

new services!

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Data Collection setup

data collector

datastorage

Processed data

Data science platform

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Apache Airflow

Data Science platform

For managing Spark clusters and notebooks

For scheduling complex workflows

For production grade algorithms and R&D

For machine learning on distributed data

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Concept testing(3 employees)

Initial tests (10-50 users)

Development(600 users)

Commercial launch

(300,000+ users)

Manual

Our journey

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Data driven services

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Energy Waste Checker

We don’t always notice how much energy we’re

wasting.

Toon can now expose the energy guzzlers in

your home.

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Toon detects inefficient appliances and behaviours

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Electricity data Appliance signals

An underlying concept: Load disaggregation

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Run on 10s electricity meter data

1

Disaggregation algorithms

Dryer DishwasherWashing machine x2

Power(Wh)

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Determine appliance ‘fingerprint’

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Efficiency classification

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Personalised advice for the end user“It looks like your

washing machine uses

more energy than an

efficient one”

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Another example: Heating and Insulation advice1. Analyse how much gas is used forheating the home

2. Analyse the cooling down rate of the home overnight from temperaturedata

3. Benchmark with comparablehomes

4. Personalised insulation advice for the customer

InsulationIt looks like your home loses energy more

quickly than efficient homes

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Scale of Toon data

35,000,000 washing machine cycles detected per year

100,000 washing machine cycles detected per day

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What else is on its way?

Boiler MonitoringToon will keep an eye on your boiler 24 hours per day.

It’ll tell you if it’s still working correctly and when the next maintenance is due.

Monthly Energy InsightsA personalised overview of energy usage for all Toon users.

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Stephen GalsworthyHead of Data Science

+31 (0) 20 462 1680 stephen.galsworthy@quby.com