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Digitalisation and Energy Savings

Digitalisation and the Rebound

Effect – Seminar HS2020

(2)

DRAFT

September 2020 2

Estimations show that digitalisation could save energy in different sectors

Overview of High-level Industry Examples

Avoided emission: 2.6Gt CO 2

Industry examples show that digitalisation could save energy and carbon in different sectors

Sources: Global e-Sustainability Initiative. #SMARTer 2030 report, 2015. | Our World in Data, CO2 and Greenhouse Gas Emissions, report, 2020 Our World in Data, Energy, report, 2018.

Transportation

Smart energy Energy

Self-driving, connected vehicles

Energy savings: 6300 TWh

40 Gt CO2/ year 140 000 TWh /year

(3)

1. Definition of digitalisation

2. Digital solutions in various sectors

Buildings

Industry

Transportation

Energy

3. Assessment challenges 4. Conclusion

Agenda

September 2020 3

(4)

DRAFT

Definition of digitalisation

September 2020 4

(5)

September 2020 5

There are various definitions of digitalisation

Definitions of Digitalisation

Public The International Encyclopedia of Communication Theory and Philosophy

Digitisation

“…as the material process of converting analog streams of information into digital bits…”

Digitalisation

”…as the way many domains of social life are restructured around digital communication and media infrastructures…”

”The process of using ICT to solve real life problems”

- Student at ETH

”Digitalisation is the ’organisational process’ or ‘business process’ of the technologically-induces change within industries, organisations, markets and branches.”

- Wikipedia

How would you define digitalisation?

1 Definition of Digitalisation

Digitalisation

Sources: J. Scott Brennen, Daniel Kreiss. 2016. Digitalization. In The International Encyclopedia of Communication Theory and Philosophy, K.B. Jensen, E.W. Rothenbuhler, J.D. Pooley, and R.T. Craig (Eds.). 1–11. https://doi.org/10.1002/9781118766804. wbiect111

(6)

DRAFT

Digital solutions in various sectors

September 2020 6

(7)

September 2020 7

Estimated energy savings due to digitalisation in the buildings sector 10%

Digital Solutions Buildings

2 Digital solutions in various sectors

10%

33% of global energy consumption

55% of global

electricity demand

• Smart thermostat

• Smart lighting

Environmental impact Digitalisation

Today Going forward

Estimated energy savings

Sources: International Energy Agency. Digitalisation & Energy, report, 2017

(8)

DRAFT

September 2020 8

Energy usage in the transportation sector could halve or more than double due to digitalisation

Digital Solutions Transportation

2 Digital solutions in various sectors

Best-case scenario: energy savings up to 50%

Worst-case scenario: energy consumption increases with

100%

28% of global energy consumption

23% of global CO

2

emission

• Sensors on planes and ships

• Revolutionary change?

Sources: International Energy Agency. Digitalisation & Energy, report, 2017

Environmental impact Digitalisation

Today Going forward

Estimated energy savings

(9)

September 2020 9

Energy savings in industry sector due to digitalisation primarily from 3D printing and robots

Digital Solutions Industry

2 Digital solutions in various sectors

Example: US aircraft fleet Avoid

20 kt metal use/ year

38% of global energy consumption

24% of global CO

2

emission

• 3D printing

• Industrial robots

Sources: International Energy Agency. Digitalisation & Energy, report, 2017

Environmental impact Digitalisation

Today Going forward

Estimated environmental impact

Reduced fuel use

6.4%

(10)

DRAFT

September 2020 10

Energy savings in energy sector due to digitalisation primarily from integrating renewables

Digital Solutions Industry

2 Digital solutions in various sectors

Mt CO

2

30 emission (EU)

• Petroleum products 36%

• Natural gas 21%

• Solid fossil fuels 15%

• Renewable energy 15%

• Nuclear energy 13%

• Integrating renewables

Sources: International Energy Agency. Digitalisation & Energy, report, 2017

European Commission. Shedding light on energy in the EU, 2018, https://ec.europa.eu/eurostat/cache/infographs/energy/bloc-2a.html

Energy Landscape Digitalisation

Today Going forward

Estimated energy savings

40 Gt CO2/ year

(11)

Assessment challenges

September 2020 11

(12)

DRAFT

September 2020 12

Formula show how to quantify energy savings in theory

The Formula

3 Assessment challenges

Sources: A. Stephens, V. Thieme. Framework for Assessing Avoided Emissions, Accelerating innovation and disruptive low- and zero-carbon solutions. Part 2: Draft methodology for calculating avoided emissions, report, 2020

The formula is not easy to apply in practice

(13)

September 2020 13

Case study shows that there are challenges in quantifying avoided emissions

3 Assessment challenges

Background Assumptions and approximations Avoided

emissions

kt CO 60

2

eq/

year

Sources: V. Coroama, M. Höjer. Assessing GHG Benefits Induced by ICT Services in Practice: A Case Study and Resulting Challenges, 2016

• Smart system for gas detection

• Pipes replaced blockwise

• 25% to reduce emissions

• Traditional methods could have caught 50%

• One replacement, one leakage

• Average leak flow 6.41 kg/ day

8160 segments 2040 segments ICT  additional

1020 segments 1020 segments

2340 kg NG/ (year and leak)

2400 t NG/

year

It is possible to do estimations! However, there are a lot of uncertainties

(14)

DRAFT

September 2020 14

First challenge in quantifying energy savings

Finding the Baseline

3 Assessment challenges

No implementation of digital service

Case to compare with

Sources (including graph): V. Coroama, P. Bergmark M. Höjer, J. Malmodin. A Methodology for Assessing the Environmental Effects Induced by ICT Services: Part I: Single Service, Proceedings of ICT for Sustainability (ICT4S) 2020, pp. 36-45, 2020

What is the baseline?

Challenges

• Uncertainties

• The baseline will affect the magnitude

One Approach for Finding the Baseline

(15)

September 2020 15

Second challenge in quantifying energy savings

Data Quality

3 Assessment challenges

Challenges

Uncertainties

Assumptions

No primary data

Reliable sources

How ‘true’ is the data?

Sources: A. Stephens, V. Thieme. Framework for Assessing Avoided Emissions, Accelerating innovation and disruptive low- and zero-carbon solutions. Part 2: Draft methodology for calculating avoided emissions, report, 2020

(16)

DRAFT

September 2020 16

Third challenge in quantifying energy savings

Forecasting Digital Solutions

3 Assessment challenges

How ‘true’ is the data?

Challenges

• Success in development of product or service

• Adoption in market

• Environmental impact per use

Sources: A. Stephens, V. Thieme. Framework for Assessing Avoided Emissions, Accelerating innovation and disruptive low- and zero-carbon solutions. Part 2: Draft methodology for calculating avoided emissions, report, 2020

In which stage of development is the product or service?

Technical readiness level Benefits of Conducting avoided Emissions Assessment

(17)

September 2020 17

Fourth challenge in quantifying energy savings

Generalising Individual Cases

3 Assessment challenges

How ‘true’ is the data?

Challenges

• Different systems, different products and services

• Adoption

• Effect per use

• Conservative assumptions and approximations

Sources: V. Coroama, M. Höjer. Assessing GHG Benefits Induced by ICT Services in Practice: A Case Study and Resulting Challenges, 2016

(18)

DRAFT

September 2020 18

Fifth challenge in quantifying energy savings

Anticipating Rebound Effect

3 Assessment challenges

When CO

2

emissions increases due to use of the digital enabler

What is the rebound effect?

Challenges

• Predicting the markets response

• Large impact on the result

In many reports, the rebound effect is not included in the estimations

of energy savings or avoided emissions

Sources: V. Coroama, P. Bergmark M. Höjer, J. Malmodin. A Methodology for Assessing the Environmental Effects Induced by ICT Services: Part I:

Single Service, Proceedings of ICT for Sustainability (ICT4S) 2020, pp. 36-45, 2020

(19)

Conclusion

September 2020 19

(20)

DRAFT

September 2020 20

There are 3 key takeaways

Conclusion

4 Conclusion

Digitalisation could help save energy, or not

Uncertainties

1

Assessment challenges

Industry reports

2

3

Several challenges

The formula

Many reports written within the industry, ignoring possible negative effects

Sources: V. Coroama, P. Bergmark M. Höjer, J. Malmodin. A Methodology for Assessing the Environmental Effects Induced by ICT Services: Part I:

Single Service, Proceedings of ICT for Sustainability (ICT4S) 2020, pp. 36-45, 2020

(21)

Thank you

Pictures: https://merculexenergy.com/celebrating-world-environment-day/ | https://eitrawmaterials.eu/expert-forum-digitalisation-in-the-raw-materials-sector/ |

https://asiatimes.com/2020/08/us-china-both-lag-badly-in-industrial-robot-race/ | https://aqualith-park.nl/smart-lighting-showdown-bluetooth-smart-vs-wi-fi-vs-zigbee/ | https://www.azocleantech.com/article.aspx?ArticleID=1094 | https://www.bizjournals.com/sanfrancisco/news/2017/04/19/self-driving-car-baidu-china.html |

https://www.photowall.com/us/world-map-detailed-without-roads-wallpaper |

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