Analysis of the required global energy system transformations and the associated macroeconomic implications in order to meet ambitious decarbonization targets
Analysis of the required global energy system transformations and the associated macroeconomic implications in order to meet ambitious decarbonization targets
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This presentation is part of the Sustainable Management: Tools for Tomorrow (TOO4TO) learning materials. It covers the following topic: Sustainable Energy Solutions (Module 4). The material consists of 3 parts. This presentation covers Part 2.
You can find all TOO4TO Modules and their presentations here: https://too4to.eu/e-learning-course/
TOO4TO was a 35-month EU-funded Erasmus+ project, running until August 2023 in co-operation with European strategic partner institutions of the Gdańsk University of Technology (Poland), the Kaunas University of Technology (Lithuania), Turku University of Applied Sciences (Finland) and Global Impact Grid (Germany).
TOO4TO aims to increase the skills, competencies and awareness of future managers and employees with available tools and methods that can provide sustainable management and, as a result, support sustainable development in the EU and beyond.
Read more about the project here: https://too4to.eu/
This project has been funded with support from the European Commission. Its whole content reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein. PROJECT NUMBER 2020-1-PL01-KA203-082076
Planning a reliable power system with a high share of renewables in France by...IEA-ETSAP
Planning a reliable power system with a high share of renewables in France by 2050: a new multi-scale, multi-criteria framework
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This presentation is part of the Sustainable Management: Tools for Tomorrow (TOO4TO) learning materials. It covers the following topic: Sustainable Energy Solutions (Module 4). The material consists of 3 parts. This presentation covers Part 2.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
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Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
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Analysis of the required global energy system transformations and the associated macroeconomic implications in order to meet ambitious decarbonization targets
1. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
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Institut für Energiewirtschaft und
Rationelle Energieanwendung (IER)
IER
Analysis of the required
global energy system
transformations and the
associated macroeconomic
implications in order to
meet ambitious
decarbonization targets
Babak Mousavi
Markus Blesl
11.07.2017The 71st Semi-Annual ETSAP workshop – University of Maryland
2. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
Outline
IER Universität Stuttgart 2
Motivation
Objectives
Methodology: TIAM-MACRO
Scenario analysis
Conclusions and outlook
Appendix: main model assumptions
3. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
IER Universität Stuttgart 3
Motivation
• The Paris agreement in December 2015 codified aspiration to hold the increase in global average temperature to well-
below 2°C above pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5°C.
• Such ambitious climate policies would significantly reduce the risks of climate change and, therefore, they can be
considered safer guardrails.
• According to the report of IPCC (2014), the cumulative CO2 emissions from 2011 to limit warming to less than 2°C
and 1.5°C at different levels of probability are as below:
• Despite the presence of climate policy measures in some world regions, progress in the implementation of concrete
world-wide decarbonization policies has been slow. Therefore, it is essential to study how a further delay of
cooperative action closes the window for achieving the targets.
Net warming/
Probability
1.5°C 2°C
> 66% 400 GtCO2 1000 GtCO2
> 50% 500-600 GtCO2 1300-1400 GtCO2
> 33% 700-900 GtCO2 1500-1700 GtCO2
*
* http://cdn.shopify.com/s/files/1/0579/7061/files/hourglass.gif?10139010899704076681
4. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
IER Universität Stuttgart 4
Objectives
• This study identifies the feasible solution space for achieving the described decarbonization targets.
• It investigates in a systematic manner the required global energy system transformations and behavioral
changes in order to meet the feasible targets.
• For a comprehensive analysis, macroeconomic implications of the implemented mitigation policies are taken
into account.
• To emphasize on the urgency of reaching a more practical global climate agreements, impacts of a further
delay in taking emission reduction action are evaluated.
5. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
IER Universität Stuttgart 5
Methodology: TIAM-MACRO
• Adapted by Kypreos and Lehtila (2013) to link multi-regional TIMES models (e.g., TIAM) with the MACRO model.
6. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
6IER Universität Stuttgart
Scenario definition
Start year
(Delay action)
1.5°C 2°C
66% 50% 33% 66% 50%
2020
2030
2040
• Based on our current knowledge of future technological and economic development, the feasibility of the
decarbonisation targets can be summarized here:
• Accordingly, following scenarios can be considered:
Scenario Description
Base • No major CO2 reduction policy
WB2DS
• Carbon budget: 1000GtCO2 ; insuring the 2°C target with a probability of more than 66%
• Start year: 2020
2DS
• Carbon budget: 1400GtCO2 ; insuring 2°C with a probability of more than 50%
• Start year: 2020
2DS-D
• Carbon budget: 1400GtCO2 ; insuring 2°C with a probability of more than 50%
• Start year: 2030
7. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
7IER Universität Stuttgart
Cumulative Primary Energy Consumption by energy carrier
• The fuel mix in the decarbonisation scenarios in 2100 is substantially different from the current mix, with the share of
renewables increasing from 14% in 2020 to 58% in the 2DS, 63% in the 2DS-D and 65% in the WB2DS.
• While fossil-fuels remain the leading energy carrier in the Base scenario, reliance on fossil fuels in the decarbonisation
scenarios dramatically falls from 81% in 2020 to 11% in the WB2DS, 12% in the 2DS-D and 15% in the 2DS.
8. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
8IER Universität Stuttgart
Final Energy Consumption by energy carrier and sector
• Fossil fuels dominate in the Base scenario dominate the final energy carriers, final energy consumptions in the 2DS
and WB2DS reflect the significant role of electrification of end-use sectors. The share of electricity and heat in
cumulative final energy consumption increases from 24% in the Base to 43% in the 2DS and 47% in the WB2DS.
• The cumulative final energy consumption in the 2DS is 18% and in WB2DS is 22% lower than the Base. Major
efficiency improvements and service-demand reductions are experienced in the Industry sector.
9. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
9IER Universität Stuttgart
Annual electricity generation by energy carrier
• Coal remains the leading source of electricity in the base scenario, in the 2DS scenario conventional coal power plants
are almost completely phased-out by 2040.
• Bio-CCS 13% share turns the global electricity mix into a source of negative carbon emissions over the period of
2050-2100.
• The rapid deployment of variable renewable electricity (VRE) sources in the 2DS scenario, reaching a share of 43% in
2100, will need to be enabled by increasing system flexibility.
10. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
10IER Universität Stuttgart
Changes in the electricity generation between the WB2DS and the 2DS
• Initially the WB2DS leads to a lower
generation from fossil fuels without
CCS, compensated mainly by other
renewables, gas with CCS and
biomass with CCS.
• More stringent carbon budget
constraint, lead to less fossil fuel with
CCS and more biomass with CCS
especially after 2070. This is due the
fact that remaining CO2 emissions
from fossil-fuel CCS technologies
make them less attractive than the
biomass with CCS.
• After 2040, the increasing electricity
demand in the WB2DS scenario is
mainly covered by other renewables,
nuclear and biomass with CCS.
11. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
11IER Universität Stuttgart
Critical role of bioenergy
More stringent carbon budget constraint increases the need for bioenergy with CCS. Recognizing its key mitigation role
and constrained availability of sustainable biomass, the development of integrated systems to support highly efficient
production and consumption of biomass will be crucial.
Bioenergy consumption by sector Power generation by bioenergy w CCS and w/o CCS
0
50
100
150
200
250
300
350
Base
2DS
WB2DS
Base
2DS
WB2DS
Base
2DS
WB2DS
Base
2DS
WB2DS
2030 2050 2070 2100
EJ
Others
Transport
Industry
Electricity
0
5
10
15
20
25
30
2DS
WB2DS
2DS
WB2DS
2DS
WB2DS
2DS
WB2DS
PWh
Non-CCS biomass
CCS biomass
12. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
12IER Universität Stuttgart
Cumulative CO2 emissions
accumulated
over
2011-2020
• While in the 2DS, the energy
system reaches carbon neutrality by
almost 2080, in the 2DS-D and the
WB2DS it happens 10 years earlier
in 2070.
• In the 2DS, 51% and in the
WB2DS, 69% of the total CO2
budget is expected to be used up by
2030. This denotes the importance
of short-term measures.
13. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
13IER Universität Stuttgart
CO2 reductions by measure
• In all scenarios renewables dominates the other measures.
Hence, renewables can be considered as the backbone in the
transition to a decarbonized energy system.
• Energy-service demand reduction seems to be necessary for
reaching ambitious climate policies.
14. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
14IER Universität Stuttgart
Investment needs in the power sector
• Renewables (excluding biomass
CCS) with a share of around 67% of
the cumulative investments in the
period of 2020-2100, dominate in all
the decarbonization scenarios the
future investments in the power
sector.
• Investments in fossil CCS and
biomass CCS represent around 16%
of the cumulative investments, while
nuclear account for around 13%.
• Compared to the 2DS case,
cumulative investments over the
period 2020-2100 increase by 14%
in the WB2DS and 6% in the 2DS-D.
15. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
15IER Universität Stuttgart
WB2DS
2DS
2DS-D
Macroeconomic implications of the decarbonization scenarios
• GWP losses are notably higher in the 2DS-D (5.4% in
2100) than in the 2DS (4.6% in 2100), once more
highlighting the importance of early action.
16. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
IER Universität Stuttgart 16
Conclusions
• Based on our current knowledge of technological and economic developments, reaching
the decarbonization targets seems to be barely feasible and implies huge
macroeconomic impacts.
• Renewables (excluding bioenergy) will be the backbone of the decarbonized energy
systems. However, rapid deployment of variable renewable electricity (VRE) sources
will need to be enabled by increased system flexibility.
• The availability of sustainable bioenergy supply sources, and carbon storage sites are
two key factors for Bioenergy with CCS.
• Decarbonizing power generation and allowing electricity to substitute fossil fuels in
inflexible energy sectors (e.g., mobility) is recognized as a cost-effective mitigation
strategy.
• Delaying action by 10 years will imply considerably higher direct and general
equilibrium costs.
17. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
Vielen Dank!
IER
Institut für Energiewirtschaft und
Rationelle Energieanwendung (IER)
Heßbrühlstraße 49a
70565 Stuttgart
Babak Mousavi
babak.mousavi@ier.uni-stuttgart.de
PD Dr.-Ing. Markus Blesl
markus.blesl@ier.uni-stuttgart.de
E-Mail
Telefon +49 (0) 711 685- 87866
E-Mail
Telefon +49 (0) 711 685- 87865
18. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
18IER Universität Stuttgart
Main model assumptions
19. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
19IER Universität Stuttgart
Total energy sector CO2 emissions and marginal abatement costs in the
decarbonization scenarios
• The delay leads in the early years to higher CO2 emissions compared to the 2DS, which are being offset by lower
emissions in the period after 2040 to stay within the same carbon budget limit as in the 2DS.
• Higher carbon budget in the WB2DS leads to lower emissions in the whole time horizon, starting from 2020.
• Delaying action by 10 years will lead to around 50% higher marginal abatement costs by 2100.
• More ambitious carbon budget constraint in the WB2DS will double the marginal abatement costs by 2100.
20. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
20IER Universität Stuttgart
Electricifaction of final consumption and decarbonization of the power
sector
• Decarbonizing power generation and allowing electricity to substitute fossil fuels in inflexible energy uses (e.g.
mobility) is a cost-effective decarbonisation strategy.
• Delaying action implies more rapid decarbonization of the power sector and higher contribution of the electricity in
the final energy consumption.
21. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
21IER Universität Stuttgart
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
Solar
EJ
0
200
400
600
800
1000
1200
1400
1600
1800
WindEJ
0
5
10
15
20
25
30
35
40
45
50
Ocean
EJEstimates for renewables global potential over the century
0
10
20
30
40
50
60
70
80
90
100
Hydro
EJ
0
50
100
150
200
250
300
350
400
450
500
Biomass
EJ
Sims et al (2007)
Resch et al. (2008)
Klimenko et al. (2009)
Cho (2010)
Tomabechi (2010)
WEC (2010)
ECOFYS (2008)
WBGU (2011a)
This thesis
0
5
10
15
20
25
30
35
40
45
50
Geothermal power
EJ
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
Geothermal heat
EJ
22. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
22IER Universität Stuttgart
Realizable potential of renewables
• The realized potential for each renewable type is
calculated based on following two points:
1. The whole estimated potentials can be reby
the end of the century.
2. The realized potentials until 2050 are given
according to the following studies:
IEA Technology Roadmap Solar PV (2014)
IEA Technology Roadmap Solar Thermal (2014)
IEA Technology Roadmap Geothermal (2012)
IEA Technology Roadmap Hydro (2012)
Global Wind Energy Outlook (2014)
0
500
1000
1500
2000
2500
3000
2020 2030 2040 2050 2060 2070 2080 2090 2100
EJ
Biomass
Ocean
Geothermal
Hydro
Wind
Solar CSP
Solar PV
*
* Here only geothermal for power production is considered.
23. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
Estimation of nuclear capacity
0
1000
2000
3000
4000
5000
6000
2000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100
GW
Low growth (IAEA, 2010) Moderate growth (IAEA, 2010) Low growth (IAEA, 2013)
High growth (IAEA, 2013) This study HiNuc (IEA, 2012)
24. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
24IER Universität Stuttgart
CO2 storage potential (Gt) (optional)
• For this study we used the ‘best estimate’ of ecofys (Hendriks et al., 2004).
• Due Public resistance against onshore storages, they are excluded.
• The assumed cumulative CO2 storage is thus 748 Gt.
Reservoir IPCC
(2005)
Manancourt &
Gale (2005)
Dooley et al.
(2005)
Hendriks et al. (2004)
Best estimate Range of
estimates
Coal beds 3.5-200 150-250 176 267 0-1480
Saline Aquifers 1000-10000 200-200000 9530 240 30-1081
Oil & Gas
Fields
Depleted
Gas 675-900
(900-1200)
Including
undiscovered
reserves
500-1000 810
700
1153
332
239 24-423
110
Oil 93 42-151
- -Remaining
Gas
821
672 368-1703
Oil 149 12-1043
25. Analysis of the required global energy system transformations and the associated
macroeconomic implications in order to meet ambitious decarbonization targets
25IER Universität Stuttgart
Average investment cost for different types of power plants