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Changing the tyre while we’re driving: evolving a
model at the same time as it is being used for live
policymaking
Andrew ZP Smith, EPA Fellow, University College Cork
ETSAP 2021
Where?
Why?
Top-down: Recommend appropriate carbon budgets for
Ireland for the periods 2021-2025 and 2026-2030 based
on consideration of the global carbon budget
[addressing criteria: national climate objective, UN, Paris
Agreement, science, climate justice]
a. The potential for negative emissions
b. The role of different gases
c. The global carbon budget
Bottom-up: Consider what legislative requirements at national
and EU level mean for emissions up to 2030, covering the first
two carbon budgets. [addressing criteria: national climate
objective, 51%, EU, inventories and projections, science,
reporting, economy, and climate justice]
a. The implication of required compliance with EU and
National Targets (e.g. 51%) incl. treatment/inclusion of
LULUCF
b. Feasibility, competitiveness impacts, implications for
investment
c. Distributional impacts, jobs
Factors in green require a consideration of not just what size is the carbon budget, but how it
is allocated over time and over sectors and how policies and measures deliver mitigation
TIMES-Ireland Model (TIM)
Given
• Final energy demands
• e.g., passenger kms, home heating
• CO2 constraints on energy
• e.g., carbon budget, annual target
• Technology, fuel costs & efficiency
• Existing & future cost and performance
• Resource availability
• e.g., on/offshore wind, bioenergy
• User-defined constraints
• e.g., speed of technology uptake, policies
TIM calculates
• “Least-cost” energy system meeting
all constraints
• Investment and operation of energy
technologies
• Emissions trajectories
• Total system cost
• Imports/exports
• Marginal energy prices
TIM is an Energy Systems Optimisation Model (ESOM) which calculates the “least-
cost” configuration of the energy system which meets future energy demands,
respecting technical, environmental, social & policy constraints defined by the user.
How?
What questions can TIM inform in the short term?
❖ What energy system changes would be needed to meet given decarbonisation targets (budget or given year)
❖ For an “all-time carbon budget”, what is the “optimal” energy decarbonisation pathway over time and across sectors?
❖ What is the “effort gap” between current measures and what is needed, sector-by-sector?
❖ What is the impact of excluding mitigation options (or adding new options)? “Feasibility”
What can TIM not (yet) inform?
❖ What should the carbon budget for energy vs. agriculture emissions be?
❖ Who pays?
❖ What policies should be used to achieve the target?
❖ What are the interactions and trade-offs between energy, land-use and food systems for mitigation?
❖ Services and industry sectors in TIM are currently low-resolution
Additional considerations
❖ We can provide and run the tool – but the “recipe” (constraints, assumptions, etc.) need wider discussion – non-trivial
❖ Expertise needed for deep dives on different sectors and topics
❖ Long-term model maintenance, updating and development requires stable funding base, long planning horizon, and
the ability to attract and retain top modellers.
What?
Who?
❖ March 12-26th Expert review stage
❖ March 29th-now Model revision
❖ By April 16th Early scenario results
❖ Summer 2021 Model stabilisation
When?
Model
❖ Feb-June? Lawmakers pass Climate Bill
❖ Until Bill is passed Preparatory work on budgets
❖ On passing of Bill Finalise budgets
❖ After Bill is passed Recommend budgets to government.
Policy
❖ Model to be fully open-source – documentation can
be downloaded here: https://tim-
review1.netlify.app/documentation
❖ “Best-practice” development approach – Git used
for version control and integration, open web app for
results analysis & diagnostics
❖ Developers with international expertise and links
with global TIMES community, allowing knowledge-
sharing
❖ Using TIMES framework – well-proven, high quality,
continuously developed/maintained, open source
code
❖ Flexible integration – Simultaneously maintaining
“stable, policy-ready” model and development of
research variants, allowing innovations in ESOMs,
pushing state-of-the-art – leveraging across projects
❖ Strength of systems approach – automatic “sector
coupling” by design – where is the best use of
resources? What are sectoral trade-offs?
❖ Extensive stakeholder review (https://tim-
review1.netlify.app/)
❖ Training PhDs, interns etc. & wider engagement
integral for national capacity-building
❖ A focus on alternate scenarios, sensitivities, “what
if” analyses
❖ Dynamic integration with national data sources and
other national models (where possible)
• Will allow for “low-effort” updates going forward
• I3E/COSMO (macro-economy), PLEXOS (power system),
LEAP/Car Stock Model (transport & residential sectors)
How? (i)
❖ Set the client’s expectations early on
❖ Rapid iteration between modellers and client
❖ Embedding a client in the modelling team
❖ Embedding a modeller in the client team
How? (ii)
On consistency
“But why should you keep your head over your shoulder? Why drag about this corpse of
your memory, lest you contradict somewhat you have stated in this or that public place?
Suppose you should contradict yourself; what then? It seems to be a rule of wisdom never
to rely on your memory alone, scarcely even in acts of pure memory, but to bring the past
for judgment into the thousand-eyed present, and live ever in a new day.
…
A foolish consistency is the hobgoblin of little minds, adored by little statesmen and
philosophers and divines. With consistency a great soul has simply nothing to do. He may
as well concern himself with his shadow on the wall. Speak what you think now in hard
words, and tomorrow speak what tomorrow thinks in hard words again, though it
contradict every thing you said today.”
Ralph Waldo Emerson, “Self-Reliance” (1841)
https://archive.vcu.edu/english/engweb/transcendentalism/authors/emerson/essays/selfreliance.html

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Changing the tyre while we’re driving: evolving a model at the same time as it is being used for live policymaking

  • 1. Changing the tyre while we’re driving: evolving a model at the same time as it is being used for live policymaking Andrew ZP Smith, EPA Fellow, University College Cork ETSAP 2021
  • 3. Why? Top-down: Recommend appropriate carbon budgets for Ireland for the periods 2021-2025 and 2026-2030 based on consideration of the global carbon budget [addressing criteria: national climate objective, UN, Paris Agreement, science, climate justice] a. The potential for negative emissions b. The role of different gases c. The global carbon budget Bottom-up: Consider what legislative requirements at national and EU level mean for emissions up to 2030, covering the first two carbon budgets. [addressing criteria: national climate objective, 51%, EU, inventories and projections, science, reporting, economy, and climate justice] a. The implication of required compliance with EU and National Targets (e.g. 51%) incl. treatment/inclusion of LULUCF b. Feasibility, competitiveness impacts, implications for investment c. Distributional impacts, jobs Factors in green require a consideration of not just what size is the carbon budget, but how it is allocated over time and over sectors and how policies and measures deliver mitigation
  • 4. TIMES-Ireland Model (TIM) Given • Final energy demands • e.g., passenger kms, home heating • CO2 constraints on energy • e.g., carbon budget, annual target • Technology, fuel costs & efficiency • Existing & future cost and performance • Resource availability • e.g., on/offshore wind, bioenergy • User-defined constraints • e.g., speed of technology uptake, policies TIM calculates • “Least-cost” energy system meeting all constraints • Investment and operation of energy technologies • Emissions trajectories • Total system cost • Imports/exports • Marginal energy prices TIM is an Energy Systems Optimisation Model (ESOM) which calculates the “least- cost” configuration of the energy system which meets future energy demands, respecting technical, environmental, social & policy constraints defined by the user. How?
  • 5. What questions can TIM inform in the short term? ❖ What energy system changes would be needed to meet given decarbonisation targets (budget or given year) ❖ For an “all-time carbon budget”, what is the “optimal” energy decarbonisation pathway over time and across sectors? ❖ What is the “effort gap” between current measures and what is needed, sector-by-sector? ❖ What is the impact of excluding mitigation options (or adding new options)? “Feasibility” What can TIM not (yet) inform? ❖ What should the carbon budget for energy vs. agriculture emissions be? ❖ Who pays? ❖ What policies should be used to achieve the target? ❖ What are the interactions and trade-offs between energy, land-use and food systems for mitigation? ❖ Services and industry sectors in TIM are currently low-resolution Additional considerations ❖ We can provide and run the tool – but the “recipe” (constraints, assumptions, etc.) need wider discussion – non-trivial ❖ Expertise needed for deep dives on different sectors and topics ❖ Long-term model maintenance, updating and development requires stable funding base, long planning horizon, and the ability to attract and retain top modellers. What?
  • 7. ❖ March 12-26th Expert review stage ❖ March 29th-now Model revision ❖ By April 16th Early scenario results ❖ Summer 2021 Model stabilisation When? Model ❖ Feb-June? Lawmakers pass Climate Bill ❖ Until Bill is passed Preparatory work on budgets ❖ On passing of Bill Finalise budgets ❖ After Bill is passed Recommend budgets to government. Policy
  • 8. ❖ Model to be fully open-source – documentation can be downloaded here: https://tim- review1.netlify.app/documentation ❖ “Best-practice” development approach – Git used for version control and integration, open web app for results analysis & diagnostics ❖ Developers with international expertise and links with global TIMES community, allowing knowledge- sharing ❖ Using TIMES framework – well-proven, high quality, continuously developed/maintained, open source code ❖ Flexible integration – Simultaneously maintaining “stable, policy-ready” model and development of research variants, allowing innovations in ESOMs, pushing state-of-the-art – leveraging across projects ❖ Strength of systems approach – automatic “sector coupling” by design – where is the best use of resources? What are sectoral trade-offs? ❖ Extensive stakeholder review (https://tim- review1.netlify.app/) ❖ Training PhDs, interns etc. & wider engagement integral for national capacity-building ❖ A focus on alternate scenarios, sensitivities, “what if” analyses ❖ Dynamic integration with national data sources and other national models (where possible) • Will allow for “low-effort” updates going forward • I3E/COSMO (macro-economy), PLEXOS (power system), LEAP/Car Stock Model (transport & residential sectors) How? (i)
  • 9. ❖ Set the client’s expectations early on ❖ Rapid iteration between modellers and client ❖ Embedding a client in the modelling team ❖ Embedding a modeller in the client team How? (ii)
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  • 13. On consistency “But why should you keep your head over your shoulder? Why drag about this corpse of your memory, lest you contradict somewhat you have stated in this or that public place? Suppose you should contradict yourself; what then? It seems to be a rule of wisdom never to rely on your memory alone, scarcely even in acts of pure memory, but to bring the past for judgment into the thousand-eyed present, and live ever in a new day. … A foolish consistency is the hobgoblin of little minds, adored by little statesmen and philosophers and divines. With consistency a great soul has simply nothing to do. He may as well concern himself with his shadow on the wall. Speak what you think now in hard words, and tomorrow speak what tomorrow thinks in hard words again, though it contradict every thing you said today.” Ralph Waldo Emerson, “Self-Reliance” (1841) https://archive.vcu.edu/english/engweb/transcendentalism/authors/emerson/essays/selfreliance.html