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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
| Instrument | Category | Primary Sector | Max Abatement Potential (GtCO₂/yr at full deployment, 2035) |
GDP Cost (% of GDP at full deployment) |
Co-benefits | Implementation risk |
|---|
- 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
- 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)