Model Catalog Multi-Dimensional Climate Solution Scale

CE Climate Solution Scale Model

A multi-dimensional model that sizes the total climate action required to achieve net-zero, stacks every tracked technology's contribution against the gap, and computes the required breakthrough dimension — the minimum scale any transformative solution must deliver to close what the known technology portfolio cannot.

Standard models answer only part of the picture. Physical climate models (CMIP6, ERA5) project temperature and hazard under fixed scenarios but never ask: how much CO₂ is already locked into the infrastructure we've built? Macro-economic models (IMF WEO, NiGEM, FRB-US) project growth and inflation but don't account for the ~680 GtCO₂ of committed emissions embedded in today's coal plants, oil pipelines, and ICE vehicle fleets — or the fact that proven fossil reserves contain 3,500 Gt of burnable carbon, 14× the remaining 1.5°C budget. And no standard model stacks the deployment ceiling of commercially mature technologies to show how much of the gap we can close right now, before any unknown breakthrough is needed.

Committed Emissions Ignored
Existing coal plants, oil pipelines, gas furnaces, and ICE vehicles will emit ~680 GtCO₂ over their remaining economic lifetimes — nearly 3× the entire 1.5°C carbon budget — even if no new fossil fuel capacity is ever built. Standard macro models don't quantify this lock-in.
Proven Reserves vs Budget
Global proven fossil fuel reserves contain ~3,500 GtCO₂ of burnable carbon — 14× the remaining 1.5°C budget and 3× the 2°C budget. IMF and IEA commodity models price these reserves as financial assets; none model their physical climate incompatibility.
Mature Tech Ceiling Unmapped
Solar PV, wind, EVs, geothermal, heat pumps, and nuclear fission are all commercially deployed at scale today. No standard model aggregates their maximum feasible deployment potential and compares it directly to the net-zero gap — leaving policymakers unable to distinguish "we need more technology" from "we need faster deployment."
The Unknown Dimension
Even stacking every commercially available solution at optimistic deployment leaves a residual gap requiring a transformative unknown technology. Standard scenarios either assume this gap doesn't exist (by implicitly filling it with CDR) or don't model it explicitly. This model names and sizes it.
Deployment scenario:
Budget target:
57 Gt
2025 emissions baseline
GtCO₂e/yr · UNEP 2024
52 Gt
Total abatement required by 2050
Net-zero pathway to 5 Gt residual
~39 Gt
Technology portfolio coverage
Base scenario · 13 tracked technologies
~13 Gt
Breakthrough gap remaining (2050)
Base scenario · requires unknown solution
250 Gt
Carbon budget remaining
1.5°C · 67% probability · IPCC AR6
~2031
Budget exhaustion year
Under current trajectory
Carbon Lock-In: Committed Emissions vs Budget
GtCO₂ already committed by existing fossil fuel infrastructure over its remaining economic lifetime, even if no new fossil development ever begins. Compared directly against the remaining 1.5°C and 2°C carbon budgets (IPCC AR6 WG1). Source: IEA WEO 2022, Global Registry of Fossil Fuels, Carbon Brief.
What this tells you

Even if every government in the world agreed today to stop all new fossil fuel projects, the coal plants, gas furnaces, and gasoline-powered cars that already exist would continue burning fuels for their entire working lives — releasing roughly 680 billion tonnes of CO₂ before they retire. That's nearly 3 times the entire carbon budget remaining before we hit 1.5°C of warming.

The bars show how much CO₂ is already "baked in" to existing infrastructure, broken down by type. The green and orange horizontal lines are the 1.5°C and 2°C budgets we have left. When the bars tower above those lines, it means retiring existing fossil infrastructure early isn't optional — it may be mathematically required just to stay within budget, even before accounting for any new emissions.

Current Technology at Maximum Deployment (GtCO₂/yr)
Maximum abatement potential from commercially deployed technologies — solar PV, wind, electric vehicles, energy efficiency, nuclear fission, heat pumps, and geothermal — under the selected scenario, compared against the net-zero abatement requirement (current policy to net-zero gap). Source: IEA NZE 2023, IRENA World Energy Transitions 2023.
What this tells you

This chart answers a specific question: "If we deployed every technology we already have — as fast as physically possible — how much of the problem could we solve right now?" Solar panels, wind turbines, electric cars, nuclear reactors, heat pumps, and geothermal plants are all real, commercially available, and getting cheaper every year. These aren't future bets — they exist today.

The bars show the maximum annual emissions reduction each technology could achieve at full deployment. The green line shows the total reduction needed each year to hit net-zero. When the combined bars approach or exceed the green line, it means deployment speed — not invention — is the binding constraint. When they fall short, new technology or major policy action is also required. Use the scenario buttons above to see how much this picture changes between optimistic and pessimistic deployment assumptions.

Emissions Trajectory vs Net-Zero Pathway
Current policy trajectory (red) vs IPCC AR6 C1 net-zero pathway (green) and emerging & near-commercial technology portfolio coverage (blue fill) under the selected deployment scenario. Does not include fully commercial technologies (solar, wind, EVs, nuclear, heat pumps) — see the Mature Technology chart for their contribution. The purple gap between the technology stack and the net-zero line is the required breakthrough dimension.
What this tells you

The red line is where the world is headed under today's policies — largely flat, because new fossil fuel consumption roughly keeps pace with clean energy additions. The green line is where emissions need to be each year to stay on the IPCC's 1.5°C pathway.

The blue shaded area shows how much the combined portfolio of emerging and near-commercial technologies (hydrogen fuel cells, carbon capture, next-gen nuclear, advanced biofuels, etc.) could contribute under the selected scenario. These are technologies that work but aren't yet fully deployed at scale. The purple gap above the blue area is the portion that no currently tracked technology addresses — this model calls it the breakthrough dimension. Switch to the Optimistic scenario to see how much faster deployment shrinks it; Pessimistic shows how much worse the picture gets if deployment lags.

Carbon Budget Countdown
Cumulative CO₂ consumed under each trajectory vs the remaining carbon budget for 1.5°C and 2°C targets (IPCC AR6 WG1). Once cumulative emissions cross a budget line, that temperature threshold is essentially locked in — future reductions can slow warming but cannot reverse it without large-scale carbon removal.
What this tells you

Think of the carbon budget like a bank account with a fixed balance. Every year we emit CO₂ under current policies, we withdraw from that account. The chart tracks cumulative spending — the running total of all CO₂ emitted — and marks when it hits the 1.5°C and 2°C limits.

Under current policies, the 1.5°C budget is exhausted in the early 2030s. That's not a distant future problem — it's this decade. Once the budget is spent, additional warming is essentially committed. Reducing emissions after the budget runs out can slow the rate of further warming but cannot undo the overshoot without pulling CO₂ back out of the atmosphere — a far more expensive and uncertain proposition.

Abatement Required by Sector (2050)
IPCC AR6 WG3 sector mitigation breakdown of the 52 Gt gap. Each segment's size reflects that sector's proportional share of required emissions cuts by 2050. Energy production is the largest single contributor, but no sector gets a pass — transport, industry, and buildings together are comparable in scale.
What this tells you

Climate change isn't caused by one industry — it comes from power generation, manufacturing, driving, heating buildings, farming, and land use all at once. This chart shows the relative size of each sector's contribution to the 52-billion-tonne gap we need to close.

The energy sector (power generation) is the largest single piece, which is why solar and wind receive so much attention. But notice that transport, industry, and buildings together are roughly as large as the energy sector. A climate plan that only focuses on electricity generation leaves more than half the problem unsolved. Any serious net-zero strategy requires action across all six sectors simultaneously.

Technology Portfolio Contribution Stack (GtCO₂/yr)
Stacked abatement contributions from all 13 emerging & near-commercial technologies, aggregated to global total under the selected scenario. Fully commercial technologies (solar PV, wind, EVs, heat pumps, nuclear, geothermal) are shown separately in the Mature Technology chart above — do not add both charts together. The purple band at the top is the required breakthrough gap — the share no current technology covers.
What this tells you

Each colored layer in this chart represents a different emerging or near-commercial technology — things like green hydrogen, enhanced geothermal, direct air capture, bioenergy with carbon capture (BECCS), and advanced nuclear. These aren't fully commercial yet at the scale needed, but they are real and being actively developed. Stacked together, they show the combined abatement potential year by year through 2060.

The purple band at the top is the gap none of these technologies currently covers — the "breakthrough dimension." Key takeaway: even under the Optimistic scenario, the stack doesn't reach the net-zero line — some combination of faster policy action and/or a genuine breakthrough technology is still required. Note: this chart shows only emerging technology. Fully commercial technologies (solar, wind, EVs) are in the Mature Technology chart above and should not be added to this stack.

Portfolio Coverage of Gap (%)
What percentage of the required 52 Gt annual abatement the combined emerging technology portfolio covers in each year under the selected deployment scenario. 100% would mean technology alone could theoretically close the gap; anything below 100% requires additional policy action, behavioral change, or breakthrough solutions.
What this tells you

This converts the technology stack into a simple percentage: out of the total emissions reduction we need, how much can our current pipeline of emerging technologies actually deliver? 100% would mean technology alone solves the problem. Anything below 100% is the share that depends on something else — policy changes, behavior shifts, or a technology that doesn't yet exist at scale.

Notice how coverage builds over time as technologies scale up, but often dips or plateaus mid-period before recovering — this reflects ramp-up time. Compare this across the three scenarios: the Optimistic scenario likely shows much higher coverage. The gap between Optimistic and Pessimistic coverage is essentially the deployment risk — the range of outcomes depending on how quickly industry and governments execute.

Required Breakthrough Scale (GtCO₂/yr)
If one transformative technology had to close the entire remaining gap that the known technology portfolio cannot cover — what annual impact would it need to deliver year by year? This is the minimum specification for any "silver bullet" solution, from fusion energy to large-scale direct air capture.
What this tells you

Imagine describing the climate problem as a single engineering challenge: "Build one technology that removes X billion tonnes of CO₂ per year by year Y." This chart shows what X has to be, year by year, if one breakthrough solution had to close the entire gap the known portfolio can't handle.

Use this as a reality check. If someone claims a new technology — nuclear fusion, direct air capture, enhanced weathering — will "solve climate change," look at this chart and ask: can it plausibly operate at this scale in the required timeframe? The earlier a breakthrough technology is deployed, the smaller the peak scale it needs to reach, because existing technologies will have already closed part of the gap. This is why deployment speed of known technologies and breakthrough investment are complementary, not alternatives.

Technology Sensitivity — 2050 Contribution (GtCO₂/yr)
Optimistic vs base vs pessimistic contribution for each technology in 2050, sourced from the CE Emerging Technology Library. Wide bars indicate high uncertainty; narrow bars indicate more consensus on likely trajectory. This is the same data that drives the scenario selector above.
What this tells you

Every technology on this page comes with uncertainty. Experts have a range of views on how much green hydrogen, carbon capture, advanced biofuels, or next-gen nuclear can realistically deliver by 2050. This chart shows that range for each technology — the left end of each bar is the pessimistic estimate; the right end is the optimistic estimate. The middle dot is the base case.

Wide bars are "wild card" technologies — they could be transformative or could underperform significantly. Narrow bars mean experts are more aligned, giving higher confidence in those estimates. Technologies with wide ranges are the highest-stakes investment decisions — the upside is large but so is the risk of disappointment. Note that these estimates are for emerging technology only; mature technologies like solar and wind have much narrower uncertainty ranges.

Economic Policy Levers & Projected Impact
How Policy Accelerates or Constrains the Abatement Stack
Technology alone does not close the emissions gap — deployment speed and scale depend on the economic signals that governments create. The policy levers below range from explicit carbon pricing and trade measures to behavioural regulations (speed limits, efficiency standards) and fiscal tools (subsidy removal, public investment). Each lever has a quantified effect: an abatement potential expressed in GtCO₂ per year by a target year, a sector distribution, and an economic cost/co-benefit profile. Use the simulator to build a policy mix and see its aggregate gap-closing potential.

Policy changes can happen fast — sometimes in months — unlike new technology development which takes decades. This means the policy levers on this page could move faster than the technology stack, if governments choose to use them. The scatter chart on the right shows which instruments deliver the most abatement at the lowest economic cost: these are the priority levers that offer the best starting point for any government's climate policy package.

Sources: Carbon price and mandate effects calibrated from IMF (2019) carbon pricing elasticity analysis, IPCC AR6 WG3 Chapter 13, IEA NZE 2023, and OECD (2021) CBAM analysis. Fuel subsidy and transport measures from IEA World Energy Subsidies 2023 and ICCT Road Transport 2023. Land use from FAO SOFA 2023. All estimates are approximate order-of-magnitude guidance.
Policy Mix Configuration
Additional Policy Levers
Abatement Contribution by Policy (GtCO₂/yr by 2035)
Projected additional annual abatement in 2035 from each active policy lever, over and above the current-policy baseline. Assumes a 10-year implementation horizon from 2025. Move the sliders or enable toggles on the left to see the bars grow. The callout below updates to show how much of the 2035 IPCC gap your selected mix covers.
Sector Emissions Impact of Policy Mix (%)
Estimated % emissions reduction per sector in 2035 from the active policy mix. Each sector responds differently — transport is most sensitive to EV mandates and speed limits; buildings respond to efficiency standards; energy is most affected by carbon pricing and renewable mandates. Agriculture and land use respond primarily to deforestation rules and subsidy removal.
Policy Instrument: Cost vs Abatement Potential
Abatement potential (GtCO₂/yr in 2035 at full deployment) vs estimated economic cost to GDP for each policy instrument. Instruments in the right half deliver high abatement at low or zero GDP cost — the priority levers. Instruments that also show a GDP benefit (positive x-axis) both reduce emissions and improve economic output — typically because they eliminate wasteful fossil fuel subsidies or reduce energy import costs. Source: IMF, IPCC AR6 WG3 Ch13, OECD.
Policy Instrument Reference Table
Instrument Category Primary Sector Max Abatement Potential
(GtCO₂/yr at full deployment, 2035)
GDP Cost
(% of GDP at full deployment)
Co-benefits Implementation risk
Methodology & Data Sources
Emissions Baseline & Pathway
Global GHG emissions baseline of 57 GtCO₂e/yr for 2025 sourced from UNEP Emissions Gap Report 2024. The net-zero pathway follows IPCC AR6 WG3 C1 category (1.5°C, low/no overshoot) median trajectory: ~−39% by 2030 from 2019 baseline, reaching 5 GtCO₂e/yr residual emissions by 2050 (hard-to-abate sectors offset by CDR). The C1 median requires 2030 emissions of ~34 GtCO₂e; the model uses 36 Gt to account for a 2025 rather than 2019 starting reference. The current-policy trajectory is held near-flat at −0.2 Gt/yr reduction rate, consistent with stated policies but far short of net-zero.
Carbon Budget
Carbon budgets from IPCC AR6 WG1 Table SPM.2: 250 GtCO₂ remaining from 2025 for 1.5°C (67% probability) and 1,150 GtCO₂ for 2°C (67% probability). Budget exhaustion year is computed by integrating the current-policy trajectory against the remaining budget — the year when cumulative emissions cross the budget threshold.
Sector Decomposition
The 52 Gt abatement gap is split across sectors using IPCC AR6 WG3 Chapter 6 mitigation potential proportions: Energy 38%, Industry 24%, Transport 16%, Buildings 9%, Agriculture 8%, Land Use & LULUCF 5%. These are approximate and vary by modelling approach; the model uses them as structural reference, not precise forecasts.
Technology Stack
Abatement contributions are drawn directly from the CE Emerging & Near-Commercial Technology Library (13 technologies). Fully commercial deployed technologies (solar PV, wind, nuclear fission, EVs, heat pumps, geothermal, energy efficiency) are shown in the separate Mature Technology chart — the two stacks should not be summed. SAI is excluded (it cools but does not remove CO₂). Technologies with overlapping coverage are adjusted by a 15% de-duplication factor. The breakthrough gap is the residual between the adjusted technology total and the IPCC C1 net-zero pathway — the minimum scale a transformative unknown solution must deliver.
Limitations
  • Non-CO₂ GHGs simplified as CO₂e; sector-specific CH₄ and N₂O dynamics not modelled
  • Technology abatement estimates have wide uncertainty — do not imply precision
  • Double-counting correction is approximate; real-world overlaps are complex
  • Economic feasibility of reaching optimistic deployment not assessed
  • Negative emissions accounting (CDR) included in tech stack but not independently verified
Key References
  • IPCC AR6 WG3 Summary for Policymakers (2022)
  • IPCC AR6 WG1 Table SPM.2 — Carbon budgets (2021)
  • UNEP Emissions Gap Report 2024
  • IEA Net Zero by 2050 — A Roadmap (2023 update)
  • CE Emerging Technology Library — internal dataset
  • NGFS Phase 4 Climate Scenarios (2023)