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Using the TIMES-Ireland Model (TIM) to understand Ireland's Carbon Budget implementation gap
1. Using the TIMES-Ireland Model (TIM) to inform Irelandโs
energy transition
ETSAP Winter Workshop โ 2022 โ Columbia University
Prof. Hannah Daly
University College Cork โ December 1st 2022
1
TIM development team:
Dr. Olexandr Balyk
Andrew Smith
Ankita Gaur
Vahid Aryanpur
Jason McGuire
2. Irelandโs climate commitment
Legally-binding carbon budget framework consistent with Paris Agreement
-
20
40
60
80
1990 2000 2010 2020 2030 2040 2050
Mt
CO
2
e
COVID19 Pandemic
3.6% fall in GHGs
Carbon Budget 1
4.8% annual fall
Carbon Budget 2
8.3% annual fall
CB1:
295 Mt
CB2:
200 Mt
3. Ireland has one of the most ambitious 2030 decarbonisation
targets in the world
Irelandโs high share of emissions from agriculture make achieving this target even more challenging
Agriculture share of total GHGs, 2018
Excluding LULUCF emissions
New Zealand targets 10%
reduction on 2017 methane
by 2030 and ~40% reduction
in emissions of other gases
Irelandโs target relative to
1990 is not world-leading
because of historical lack of
action
4. TIMES- Ireland Model (TIM)
Energy systems modelling to inform climate mitigation policy:
Feasibility & mapping of detailed decarbonised energy pathways
Given
โข Climate policy constraints
โข Energy demand dynamics
โข Future technology evolution
โข Geopolitical outlook โ energy prices
โข Feasible growth rates
TIMcalculates
โข Energy flows & investment needs
โข Emissions trajectories
โข Total system cost
โข Energy imports & exports
โข Marginal energy & CO2 prices
โข Unmitigated emissions: โBackstopโ
technology at โฌ2k/tCO2
Transparency& accessibility
โข Model is freely available on GitHub: https://github.com/MaREI-EPMG/TIMES-Ireland-model
โข Documentation paper is peer-reviewed and open source: https://gmd.copernicus.org/preprints/gmd-2021-359/
โข Interactive results dashboard: https://tim-carbon-budgets-2021.netlify.app/results
5. โ Model fully open-source
โ โBest-practiceโ development approach โ Git used
for version control and integration, open web app for
results analysis & diagnostics
โ Developers with international expertise and links
with global TIMES community, allowing knowledge-
sharing
โ Using TIMES framework โ well-proven, high quality,
continuously developed/maintained, open source
code
โ Flexible integration โ Simultaneously maintaining
โstable, policy-readyโ model and development of
research variants, allowing innovations in ESOMs,
pushing state-of-the-art โ leveraging across projects
TIM development process
โ Strength of systems approach โ automatic โsector
couplingโ by design โ where is the best use of
resources? What are sectoral trade-offs?
โ Extensive stakeholder review
โ Training PhDs, interns etc. & wider engagement
integral for national capacity-building
โ A focus on alternate scenarios, sensitivities, โwhat
ifโ analyses
โ Dynamic integration with national data sources and
other national models (where possible)
6. 15.7
13.9
17.3
19.7
-
20
40
2018 2025 2030 2050
Mt
CO
2
-65% -61%
-57% -51%
Four core scenarios modelled, representing
the decarbonisation effort allocated to the
energy system between 2018 & 2030 to meet
overall carbon budgets:
Carbon Budget 1 Carbon Budget 2
Additional scenarios: Alternative GHG constraints Alternative technology deployment constraints & demand
Early action (from 2020); Low Energy Demand (LED) scenario
Late action; Higher wind & solar
Constrained carbon budget; Limited Bioenergy/High bioenergy
No mitigation; No CCS/Early CCS
Climate Action Plan 2019 ambition โTechnology optimismโ
Carbon budget scenarios modelled
TIM supported Climate Change Advisory Council evidence base for carbon budgets
7. Marginal Abatement Cost
Informing the valuation of carbon in the Public Spending Code
-
500
1,000
1,500
2,000
2,500
2023 2025 2027 2029 2031 2033 2035 2037 2039 2041 2043 2045 2047 2049
โฌ/tCO2
Core Low DC High DC High REN Low Energy Demand
MAC is sensitive to parameters we
modelled:
โข Lower final demand, faster RE
deployment, lower Data Centre
(DC) demand lower the MAC
โข The opposite signal increases the
MAC
โข Considerable uncertainty in
longer-term, based on
8. A-51%,E-51% A-40%,E-57% A-33%,E-61% A-25%,E-65%
Core
โBAUโ demands, no bioenergy imports, 4-times
2018 indigenous bioenergy, no power-CCS
available, no H2 import, ~74% RES-E
โฌ674 โฌ1,100 โฌ1,292 โฌ1,485
Low Energy
Demand (LED)
Decoupling energy service demands: mobility
shifting; dematerialisation; lower heating
โฌ128 โฌ403 โฌ545 โฌ757
Tech-Optimism
Up to 25GW VAR-RE by 2030; additional H2 &
Bioenergy, 400 MW CCS available from 2027.
>90% zero-carbon power generation
โฌ436 โฌ639 โฌ812 โฌ1,284
LED +
Tech-optimism
โฌ76 โฌ125 โฌ202 โฌ317
The Marginal Abatement Cost represents the cost of mitigating the most expensive
tonne of CO2 in each scenario for the energy sector
Marginal Abatement Cost (2025-30 average) in core
mitigation scenarios and scenario variants
9. Fossil fuels fall from 90% of primary energy
demand in 2018 to 45-56% in 2030
46%
34%
11%
3%
6%
2018
Oil* Natural Gas Solid fuel** Bioenergy Other renewables***
2030
* Oil excludes kerosene for international aviation
** Coal, peat and MSW
*** Primary wind, solar, ambient heat, hydro & ocean
22%
33%
1%
12%
32%
A-51%, E-51%
14%
30%
1%
15%
40%
A-25%,E-65%
Dr. Hannah E. Daly, 3/11/2021
10. Final energy consumption & power generation
-
50
100
150
200
2018 E-51% E-65%
2030
PJ
Power generation
-
30
60
90
120
2018 E-51% E-65%
2030
PJ
Industry
-
45
90
135
180
2018 E-51% E-65%
2030
PJ
Transport
-
50
100
150
200
2018 E-51% E-65%
2030
PJ
Buildings
Dr. Hannah E. Daly, 3/11/2021
11. -
20
40
60
80
1990 2000 2010 2020 2030 2040 2050
Mt
CO
2
e
Greenhouse gas emissions are still rising
Gap between carbon budget commitments and delivery will create further
challenges later in the decade
12. High fossil fuel prices make energy transition less costly
1.2
3.8
3.0
2.1
-4
-2
-
2
4
6
8
2021-25 2026-30 2031-40 2041-50
โฌbn
(2018)
High fossil fuel prices
Fixed Investment Variable Net
1.3
5.2 5.2 5.0
-4
-2
-
2
4
6
8
โฌbn
(2018)
Low fossil fuel prices
Annualised undiscounted average annual energy system cost to meet 61% reduction in CO2
emissions by 2030, net-zero by 2050, in addition to โno mitigationโ case
Upfront investment of โฌ60bn this decade (in addition to
BAU) in low carbon technologies is necessary to transform
the energy system
Creates a huge finance challenge, but if realised, can:
โข Lock in short- and long-term savings from decreased
fossil fuel consumption
โข Create substantial opportunities for the economy to
specialise in building low-carbon technologies &
services
Current energy security & affordability crises increase the
imperative for a clean- & low-energy transition: High
fossil fuel prices lower the relative cost of meeting
national climate targets & lowers household bills
13. Strong drop in natural gas power gen. this decade
Energy security & affordability policy must be compatible with carbon
budgets
14. Conclusions
โCarbon budgets require transition of unprecedented speed & scale and Herculean effort. High marginal
abatement cost signal need for rapid action: any delay in mitigation raises cost.
โCombination of measures to accelerate innovation & deployment of new technology and lower energy
demands is necessary to meet sectoral budgets: broad-brush approach necessary.
โTechnologies required to meet trajectory to 2030 are already mature, and often cost-optimal or bring
wider societal benefits. Modelling driven by user constraints on speed โ how to remove barriers?
โAnalysis at the centre of highly political and public discourse โ important role for models and analysis to
inform policymakers, hold commitments to account, communicate what is required to public