We compute the iONE climate case inside the Climate Performance Potential framework — a single counterfactual basis (grid-average emissions on-grid, diesel off-grid), applied with per-location physics and AI-enabled grid intelligence and tightened by annualised embodied accounting, under Project Frame’s counterfactual discipline. Project Drawdown and the IPCC AR6 pathways are reference sources, not parallel scoring methods.
Our own calculations, which you can verify, show the iONE category reaching the institutional climate threshold of 100 megatonnes CO2e per annum by 2040 (CPP), on a conservative, per-country basis across 57 reachable markets — computed live in the calculator, a function of the deployed fleet and the sourced impact layers rather than a fixed coefficient. The figure resolves not from a uniform per-unit assumption but from per-country generation modelled on PVGIS solar yield and per-country grid intensity drawn live from the EEA and ENTSO-E inventories, against a single conservative counterfactual basis: diesel displacement off-grid (840 g CO2e/kWh), grid-average emissions on-grid. CPP was developed with Project Drawdown and Project Frame, so the latter inform the discipline rather than constituting separate scoring methods.
1. Three Methodological Steps Tighter
The iONE methodology takes three steps that the established frameworks do not take individually, though each step is grounded in published practice.
The first is the hardware counterfactual. The leading frameworks aggregate per-product impact through market-substitution scenarios, S-curve adoption models, and category-level attribution. The iONE methodology replaces this with a physical counterfactual: one iONE Core station generates a measurable kWh quantity at a measurable location against a counterfactual that already exists in the field. A diesel generator already runs, or a coal-dominant grid already supplies. Neither is a scenario.
The second is per-location physics. The established frameworks operate on aggregated regional factors. The iONE methodology resolves generation to the kilometre through the European Commission's PVGIS seriescalc service and grid intensity to the country through the EEA and ENTSO-E live inventories. Kraków at 6,340 kWh per annum and Nicosia at 9,366 kWh per annum produce different climate signal for the same product. The methodology preserves the difference.
The third is annualised embodied accounting. The established frameworks treat embodied carbon as a separate line item, a deferred lifecycle inventory, or do not subtract it from annual avoided emissions at all. The iONE methodology amortises the embodied footprint as decomposed component streams matching physical service lives — the LFP cell component (~2.16 tonnes) over its 15-year service life, the structural envelope (steel frame, foundation, power electronics, balance of system) over the 25-year structural design life — and subtracts the sum directly from annual avoided emissions, producing one figure of net climate impact per unit per annum. Embodied today resolves, on the LCA model, at ~9.7 tonnes total (cell ~2.2 t / envelope ~7.5 t); the full-2030 component stack at ~5.1 tonnes. The amortised per-yr quantity is computed live in the calculator.
2. The Counterfactual
iONE computes on a single, conservative counterfactual basis. On-grid, the platform displaces the country’s average grid emissions factor (the CPP grid basis) — not the marginal factor, which would score higher. Off-grid, it displaces a diesel genset at 840 g CO2e/kWh (DEFRA/DESNZ 2024) — the physical replacement that already runs in the field. We apply Project Frame’s counterfactual discipline (physical additionality, conservative-by-data); Project Drawdown and IPCC AR6 are reference sources, not separate scoring methods.
Applied to a single iONE Core station, the net avoided figure varies with country physics (PV yield, grid intensity) and with the off-grid/on-grid split — explorable per country in the live calculator above. Choosing the grid-average rather than the marginal counterfactual on-grid, and a fixed diesel factor off-grid, holds the figure at the conservative end.
The fleet composition is entered into the live calculator above — real per-country physics (PVGIS generation, EEA/ENTSO-E grid intensity), the diesel counterfactual, and the seven-layer model on the CPP basis. The coefficient against the 100 Mt/yr threshold is the calculator’s live output — a function of the deployed fleet and the sourced layers, not a fixed figure.
3. Path to 100 Megatonnes
The 100-megatonne-per-annum threshold is the institutional bar — not a number the platform reverse-engineers a fleet to hit. The path to it is bottom-up: each deployed station carries a measured per-unit net impact (the seven-layer model against live diesel and grid counterfactuals), and the aggregate is that per-unit figure across the fleet actually deployed — shown live in the calculator above, never as a fixed headline.
The fleet grows through two channels. GT direct production seeds the installed base; beyond the first million proprietary units the open-architecture regime activates a licensee channel — regional operators assembling under the iONEOS server gate, financed through national banking partnerships (the ProCredit network and equivalent regional development banks). The gate distinguishes licensed assembly from unlicensed; unlicensed assembly remains possible but accesses neither the banking channel, the warranty regime, nor the predictive-maintenance subscription. The category grows; the originating manufacturer stays at the centre of its financial and standard-setting cycle.
What carries the climate number is therefore real deployment, not a category-total assumption. The hard physical core (Layers 1–4, carried at full attribution — direct diesel-and-grid displacement, fuel-logistics avoidance, peak-shaving/VPP, and 5G future-avoidance) scales with the deployed fleet, the direct off-grid displacement of a diesel generator being the richest per-unit lever. The enabling layers (Layers 5–7 — disaster prevention, precision agriculture, infrastructure avoidance) add as independently sourced, attribution-capped upside. Every layer is source-gated — it contributes nothing until a primary citation is entered — and as of the May–June 2026 data pass those citations are in (GSMA Mobile Net Zero 2024 for L4, Climate TRACE for L5, FAOSTAT for L6, ENTSO-E TYNDP for L7), so the layers register as evidenced contribution rather than placeholders. If the honest figure sits below the threshold today, that is what the calculator shows; the path to 100 is built, not assumed. It won’t build itself.
4. Technology Trajectory as a Hedge
The architectural envelope of iONE — mast geometry, peak power, tracker mechanism, orchestration layer — is held constant across the 2026–2040 horizon. The components inside the envelope are substituted as published industrial milestones arrive: perovskite-on-silicon tandem cells from Oxford PV (Brandenburg), whose first commercial 24.5% modules shipped in 2024 and whose 26.9% record (Fraunhofer-certified, 2024) is scaling toward mainstream pricing through 2030, with a Hanwha Qcells-class 28% mainstream stack expected by 2032; sodium-ion chemistry from CATL Naxtra, in mass production since late 2025 and scaling across sectors through 2026; and low-carbon aluminium from Norsk Hydro CIRCAL 75R already at industrial volumes.
The technology trajectory operates as a hedge on per-unit impact. Better components raise the net avoided per station: the Full 2030 component stack lifts an iONE Core’s annual avoided figure materially above the Today configuration, so any given aggregate is reached with a smaller fleet — lower production-capital exposure. If milestones arrive on schedule, per-unit impact rises along the documented technology fronts; if they are delayed, the Today configuration continues to ship and the signal accrues from deployment volume, with substitutions overlaid sequentially as components mature, without halting the production line. The 100 Mt/yr threshold is the commitment; the technology trajectory varies the per-unit path to it — the live figure is shown in the calculator above.
5. Subscription Economy at Fleet Scale
The iONEOS orchestration layer is the institutional gate that distinguishes licensed assembly from unlicensed across the category. It is also the revenue layer that operates across both GT direct production and licensee production at parity. Every iONE Core station — manufactured by GT or by a licensed regional operator — runs on iONEOS for its operational lifetime. Three subscription tiers structure the platform: basic orchestration, a standard tier adding predictive maintenance, and a premium tier adding fleet analytics and banking-channel integration — priced to the market for industrial-asset platform subscriptions, with per-configuration pricing resolved in the live configurator.
iONEOS sits in the category of industrial-asset platform subscriptions — fleet-management (John Deere Operations Center), connected-vehicle services (Tesla), industrial-automation suites (Schneider Electric EcoStruxure) — priced at a fraction of their per-asset fee; aggregate recurring revenue scales with the deployed fleet rather than from any fixed headline figure. The economic logic mirrors the Android architecture: distributed production by licensed operators earns its margin on hardware, while GT earns concentrated platform margin across the entire installed base. The climate signal is the institutional headline. The subscription economy is the engine that funds its continuation.
6. Position Within the Climate-Energy Ecosystem
The architectural thesis on which iONE builds — decentralised renewable infrastructure, orchestrated by software, financed and deployed without burden to the end customer — has been progressively validated by the Berlin-based gridX platform and the Munich-based enerkii energy-as-a-service operator, with the successful exit of gridX to E.ON serving as the institutional proof point. The two companies have established this thesis at scale within the German industrial sector and the E.ON service area. The iONE platform extends the same thesis into the deployment envelopes where the rooftop and ground-adjacent EaaS configuration is architecturally not present: off-grid and grid-edge critical infrastructure across the European resilience corridor — border zones, islands, the telecom edge, and remote industrial sites — and foundation-free deployment where the consumer’s electrical mass is not the boundary condition. The same architecture applies to off-grid markets beyond Europe, but the platform’s resilience thesis is anchored in the European critical-entities envelope. iONE represents a continuation of the family work along a divergent geographic and architectural axis. No projected customer overlap.
7. Methodology Sources
EEA / ENTSO-E grid intensity inventory 2024; DEFRA UK Government conversion factors 2024; JRC Battery LCA 2024; Fraunhofer ISE module weight reference 2024; International Aluminium Institute April 2025; PVGIS 5.3 European Commission JRC seriescalc API; Ember Global Electricity Review 2025; World Customs Organization Harmonised System Nomenclature 2022 (next review 2027); Climate Performance Potential (CPP) methodology developed with TU Berlin; Project Drawdown Solutions Library; Project Frame guidance under Prime Coalition; IPCC AR6 Working Group III Mitigation pathways.