© OECD/IEA 2015 © OECD/IEA 2015

Duncan Millard

Chief Statistician

International Energy Agency

Dissemination

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Overview

Why dissemination is important

Charts – the basics of visulisation

Innovation – ideas

Exercise

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Why is dissemination important

What are quality data

“Official statistics are fundamental to good government, to the delivery of public services and to decision-making in all sectors of society” – preamble to UK Code of Practise for Official statistics

© OECD/IEA 2015

Why is dissemination important

What are quality data

“Official statistics are fundamental to good government, to the delivery of public services and to decision-making in all sectors of society” – preamble to UK Code of Practise for Official statistics

Quality data – data produced to good and open methodology that are used

and make an impact

© OECD/IEA 2015

Charts Everyone can understand a good chart!

UK Final Energy Consumption 2001 - 2011

180

190

200

210

220

230

240

2001 2003 2005 2007 2009 2011

Mto

e

Has been on the decline since 2005

Record decline in 2011,a fall of 7%.

Cold year

A good picture is worth a thousand words

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Good chart?

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Good chart?

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UK Energy consumption by main industrial groups 2009

Iron& steel and non -ferrous metals

8% Mineral products11%

Chemicals17%

Mechanical engineering and metal products

5%

Vehicles5%

Food, drink & tobacco

12%

Paper, priniting publishing

9%

Other industries21%

Unclassified12%

Good chart?

© OECD/IEA 2015

UK Energy Consumption by main industrial groups 2009

Source: Energy Consumption in the UK 2010

Iron& steel and non -ferrous metals

8%

Mineral products11%

Chemicals17%

Mechanical engineering and metal products

5%

Vehicles5%

Food, drink & tobacco

12%

Paper, priniting publishing

9%

Other industries21%

Unclassified12%

Clearer chart?

© OECD/IEA 2015

0

200

400

600

800

1,000

1,200

1,400

1,600

1,800

Mill

ion

s

Rural

Urban

Number of people without electricity, 2006 (million)

Chart or table

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Number of People without Electricity, 2006 (million)

Urban Rural Total

Africa 110 443 553

Sub-Saharan Africa 109 439 548

North Africa 1 6 7

Developing Asia 145 822 966

East Asia and China 39 189 228

South Asia 88 650 739

Middle East 17 25 42

Latin America 7 38 45

Developing Countries 248 1,342 1,590

OECD and transition economies <1 8 8

World 284 1,339 1,623

Source: International Energy Agency

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Dissemination of Statistics Keep it simple but factual

Who is audience, what level of numerical skill

Charts must make point easier to understand – they are the hook

Should raise a “why” question

Some examples IEA – they hopefully tell a story

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OECD energy supply from 1971 to 2014

0

1000

2000

3000

4000

5000

6000

1971 1975 1980 1985 1990 1995 2000 2005 2010 2014

TPES* Production Net imports

Million tonnes of oil equivalent

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Total final consumption of electricity

0

5000

10000

15000

20000

25000

1973 1983 1993 2003 2013

TW

h

OECD Non-OECD World

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2013 fuel shares in electricity production

Coal 32.5%

Oil 3.0%

Natural Gas

24.3%

Nuclear 18.1%

Hydro 13.6%

Other¹5.7%

Biofuels and

Wastes 2.9%

Coal 48.6%Oil

5.6%

Natural Gas

19.5%

Nuclear 4.1%

Hydro 19.1%

Other 2.0%

Biofuels and

Wastes1.2%

OECD Non - OECD

© OECD/IEA 2015

Annual growth rates of world renewables supply from 1990 to 2013

Total TPES1.9%

Renewables2.2%

Solar PV46.6%

Wind 24.8%

Biogases 13.9%

Solarthermal12.3%

Liquid biofuels 10.2%

Geo-thermal2.9%

Hydro2.5%

Solid biofuels/Charcoal

1.4%

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

© OECD/IEA 2015

OECD Europe: Non-Hydro Renewable Electricity by source

0

50

100

150

200

250

300

TW

h

Wind Solar photovoltaics Primary solid biofuels

Biogases Renewable municipal waste Geothermal

Liquid biofuels Solar thermal Tide, wave and ocean

© OECD/IEA 2015

World natural gas demand by region

0

500

1 000

1 500

2 000

2 500

3 000

3 500

4 000

Africa

Non-OECDAmericas

Middle East

Asia (incl.China)

Non-OECDEurope/Eurasia

OECD

Billion cubic metres

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New format for Monthly Statistics

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Release of free excerpts of publications

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Summary

Good presentation of data is key

Need to get data noticed and used

Visualisation – a moving story – engages users

Quick exercise in pairs