This chapter applies the World Fund Climate Performance Potential methodology, developed by Daria Saharova and the World Fund team and published in September 2025, to the iONE platform across the 2026 to 2040 horizon. The assessment follows the methodology's guiding principle of measuring the system with and without the climate solution over time, applies a volumes analysis at the technology-level granularity prescribed for early-stage and pre-commercial assessments, grounds every counterfactual in published industry averages from DEFRA, the IPCC, the European Joint Research Centre, and the European Network of Transmission System Operators, and adheres to the methodology's stated preference for conservatism over upside scenario advocacy. The chapter is structured to be transferable in form and substance into the World Fund investment memorandum produced for the firm's institutional limited partners, including the European Investment Fund, KfW Capital, and the East Anglia Pension Fund.
The platform's contribution to greenhouse gas avoidance operates across four distinct mechanisms, each grounded in a separate counterfactual baseline and each assessed independently before aggregation. Layer 1 addresses direct fuel displacement at the unit level, where the counterfactual is the diesel generator operating in prime-power configuration; this layer establishes the unit impact value that the methodology requires as the foundation of every subsequent calculation. Layer 2 scales the unit impact across the GT direct attribution fleet of 1.24 million cumulative units to 2040, deriving the firm-level climate performance. Layer 3 extends the volumes analysis to the category level at 10 million globally deployed units by 2040, establishing whether the category passes the 100 Mt CO2e per annum institutional threshold that defines a World Fund investable technology bucket. Layer 4 addresses the grid-stabilisation multiplier that emerges from the 29 gigawatt-hour distributed storage capacity of the European installed base, against the counterfactual of marginal gas-peaker generation displaced from the European wholesale market under the merit-order regime now codified by the European Commission's bridging-infrastructure framework. A methodology sidebar, structured for direct lift into investor reporting, documents the counterfactual assumptions, attribution rules, and emissions factors on which each layer is built.
The architectural premise advanced in the preceding chapters carries one consequence specific to climate accounting which is treated explicitly throughout. The iONE platform is an enabling infrastructure asset whose climate contribution is realised in combination with the orchestration software layer operating across the European market — gridX, Octopus Kraken, 1KOMMA5°, Tibber, Next Kraftwerke, and their peers. The attribution question this raises is addressed in the methodology sidebar, but the substantive answer is given here: the orchestration software is necessary but not sufficient for the climate benefit. No software can shift load in time at a physical point in space without a physical asset capable of storing and dispatching energy at that point. iONE is the enabling asset; the orchestration software is the coordinating signal. The 50/50 attribution split applied in Layer 4 follows directly from this engineering relationship and from the Project Frame convention on enabling-versus-orchestrating asset attribution that the World Fund methodology cross-references.
Layer 1 — Direct Fuel Displacement: The Unit Impact
The first counterfactual is the most concrete. Across the off-grid deployment segments for which iONE is engineered — telecom edge sites, remote industrial assets, border infrastructure, critical communications relays, hardened government installations — the prevailing technology is the diesel generator operating in prime-power configuration: continuous duty, twenty-four hours per day, three hundred and sixty-five days per year, with the alternative of physical grid extension typically ruled out by cost-per-kilometre economics or by the strategic requirement for autonomous operation independent of external grid infrastructure. The counterfactual baseline is therefore not the grid emissions factor of the local zone, which would be the appropriate baseline for a behind-the-meter residential product. The counterfactual baseline is diesel combustion at the published DEFRA conversion factor of 2.68 kg CO2e per litre, applied to the prime-power consumption profile that the displaced generator would otherwise run.
A representative critical infrastructure node displaced by a single iONE unit, sized to the median telecom edge or border-asset load profile, consumes approximately 8,000 litres of diesel per annum in prime-power configuration. Applied against the DEFRA emissions factor and rounded to the conservative case, the avoided combustion emissions per unit per annum are approximately 21.4 tonnes of CO2e. The figure excludes the upstream emissions associated with diesel production, refining, and logistical distribution to remote sites, which IPCC well-to-tank inventories place at an additional 18 to 24 percent on top of combustion emissions, depending on transport distance and supply chain configuration. The conservative case used throughout this chapter is 21 tonnes per unit per annum, treating the upstream avoidance as methodological headroom rather than as a claimed benefit.
This figure is the unit impact value on which the volumes analysis of the subsequent layers operates. It is grounded in a single published industry emissions factor, applied to a single counterfactual operating profile, against a single deployment segment for which the counterfactual is unambiguous. Layer 1 carries 100 percent attribution to the iONE platform: in the off-grid critical infrastructure case, no software-layer orchestration is necessary for the climate benefit to be realised, because the diesel generator is the asset being directly substituted by the iONE node operating in standalone configuration. The attribution question that arises in Layer 4 does not apply here.
Layer 2 — GT Direct Attribution to 2040
The volumes analysis at the firm level follows the production trajectory documented in the operating plan: 3,000 units in the first full production year, 12,000 in the second, scaling through the European Power Electronics Validation Programme deployment phase and into industrial-scale assembly in years three through fifteen. The cumulative fleet reaches approximately 1.24 million units by 2040 under the central case, against a European addressable market of roughly 8 to 12 million critical infrastructure sites for which the off-grid or grid-edge counterfactual applies. The 1.24 million figure represents the GT direct attribution case, treating GT-manufactured units only and excluding any licensed or co-produced units that may emerge under the European platform expansion.
At a steady-state contribution of 21 tonnes of CO2e per unit per annum, a fleet of 1.24 million units in operation by 2040 corresponds to approximately 26 megatonnes of CO2e in annual avoided emissions in that year alone. The figure scales linearly with the operational fleet across the deployment horizon: at one quarter of the 2040 fleet, the annual contribution is approximately 6.5 megatonnes; at half, approximately 13 megatonnes. The cumulative avoided emissions across the entire 2026-to-2040 fleet build-out, integrated under the standard convention of even distribution of impact per product across time, exceed 200 megatonnes of CO2e in the conservative case, and approximately 240 to 260 megatonnes when the IPCC upstream well-to-tank avoidance is included on the optional-headroom basis.
Layer 2 is the GT firm-level CPP figure that the methodology defines as climate performance planned for commercial-stage assessment and as climate performance potential at the current pre-commercial stage. Both formulations resolve to the same arithmetic at this layer; the distinction is methodological — the figure is treated as planned once commercial sales are operational, and as potential until then. The platform's transition from CPP to CPplanned occurs at the first production-series shipment under the European Power Electronics Validation Programme.
Layer 3 — Category Potential Against the 100 Mt Threshold
The methodology explicitly directs that for early-stage assessment the focus should be on the underlying technology rather than the startup itself, and that the volumes analysis should extend to the technology-level total addressable market projected against evidence-based adoption curves out to 2050. Applied to the iONE category — autonomous, foundation-free, tracker-integrated, telemetry-equipped distributed generation and storage nodes for critical infrastructure — the global addressable market by 2040 resolves to approximately 10 million units across European, MENA, North American, and rest-of-world critical infrastructure segments. The figure is derived from three independent technology-adoption tracks: the diesel-generator displacement market in off-grid telecom and remote industrial applications (approximately 4 million units globally), the grid-edge resilience market driven by critical-entity-resilience legislation in Europe (the EU's CER Directive and analogous frameworks in North America, approximately 3 million units), and the disaster-recovery and conflict-zone reconstruction markets that the post-2022 European security context has structurally enlarged (approximately 3 million units).
At 10 million globally deployed units operating against a unit impact of 21 tonnes per unit per annum, the category-level annual avoided emissions resolve to approximately 210 megatonnes of CO2e. This figure passes the World Fund 100 Mt CO2e per annum institutional threshold by a factor of approximately 2.1, with the GT first-mover share — projected at 10 to 15 percent of the category at maturity — corresponding to a defensible 21 to 31 megatonne annual contribution by 2040 under the volumes analysis at the firm-attribution level.
The methodology's preference for conservatism applies in two directions to this figure. The category total addressable market is derived from observable counterfactual operating populations — installed diesel generators in critical infrastructure applications, with their associated published fuel consumption profiles — rather than from technology-substitution scenario modelling that would expand the market through adjacent-use-case capture. The unit impact value is held constant at the Layer 1 figure rather than escalated through fleet learning effects or through the predictive layer's lifecycle-extension contributions documented in the lifecycle sidebar below. Both conservatisms understate the category potential. The 210 megatonne figure is the conservative case, not the central case.
Layer 4 — The Grid-Scale Stabilisation Multiplier
The fourth layer addresses the climate contribution that emerges from the aggregate operating behaviour of the European installed base in its grid-connected configuration, and it is the layer at which the architectural argument of Chapter III translates most directly into climate-accounting consequences. A one-million-unit European fleet, structured around the CORE-32 storage configuration at 29.0 kilowatt-hours usable capacity per node, constitutes approximately 29 gigawatt-hours of distributed storage operating against the European wholesale market through the orchestration platforms on which iONE is protocol-compatible. The climate contribution of this distributed buffer is realised through the displacement of marginal gas-peaker generation at moments of grid stress, under the merit-order dispatch regime that governs the European wholesale market today.
The mechanism is observable at the daily and seasonal level in the EPEX SPOT price record. The German bidding zone clears at 15-minute resolution since October 2025, generating 96 price points per day with a Q1 2025 standard deviation of approximately 33 euros per megawatt-hour and a daily range that during the November 25, 2025 Dunkelflaute event reached intraday peaks of approximately 1,000 euros per megawatt-hour against a day-ahead clearing price of 371 euros per megawatt-hour. The price differential reflects the marginal generation technology required to balance load: at the trough hours of negative pricing — 570 hours in 2024 alone — the marginal generator is curtailed wind or solar; at the peak hours of grid stress, the marginal generator is gas. The European Commission's approval of 12 gigawatts of new German gas capacity in January 2026, framed explicitly as bridging infrastructure for the energy transition, codifies this marginal-generation profile into the regulatory architecture of the next decade.
The marginal emissions factor for European gas-peaker generation operating at the wholesale-market margin, against the published ENTSO-E and JRC inventories for combined-cycle gas turbines operating in load-following mode, resolves to approximately 380 to 420 kg CO2e per MWh delivered, with the figure varying by turbine generation and dispatch profile. The conservative case used here is 400 kilograms per megawatt-hour. A 29 gigawatt-hour distributed buffer cycling once daily under fleet-orchestration through grid-flexibility participation displaces approximately 29 gigawatt-hours of gas-peaker generation per cycle, corresponding to approximately 11.6 kilotonnes of CO2e per cycle. Applied across 250 effective annual cycling days (a deliberately conservative figure that derates the 365-day calendar for partial-state-of-charge operations and for the fraction of the fleet not in grid-connected configuration on any given day), the annual gas-displacement contribution is approximately 2.9 megatonnes of CO2e.
The attribution rule for Layer 4 follows the engineering relationship documented in the chapter introduction. The orchestration software signal — the market-participation logic, the price-discovery interface, the dispatch instruction — is necessary for the climate benefit to be realised in the grid-flexibility regime. The physical asset — the storage capacity, the dispatch capability, the protocol-compatible interface — is necessary for the orchestration signal to have any effect at the relevant point in space. The two are co-required, in a clean engineering co-dependency that the Project Frame convention on enabling-versus-orchestrating asset attribution resolves through a 50/50 split between the enabling and the orchestrating layer. Applied here, the iONE attribution share of the Layer 4 contribution is 1.45 megatonnes of CO2e per annum at the one-million-unit European fleet milestone, additive to the Layer 2 direct attribution figure.
Aggregate Climate Performance Potential
The four layers integrate into a quantified CPP profile that maps directly onto the World Fund institutional reporting requirement. Layer 1 establishes the unit impact at 21 tonnes of CO2e avoided per unit per annum. Layer 2 scales the unit impact across the GT direct attribution fleet to approximately 26 megatonnes per annum by 2040, with cumulative avoidance across the 2026-to-2040 deployment exceeding 200 megatonnes in the conservative case. Layer 3 establishes category potential at approximately 210 megatonnes per annum at the 10-million-unit global maturity, passing the 100 Mt institutional threshold by a factor of 2.1. Layer 4 adds approximately 1.45 megatonnes per annum at the one-million-unit European fleet milestone, attributable to iONE under the 50/50 enabling-asset convention applied to grid-flexibility participation.
The figures pass the methodology's stated preference for assessments that combine top-down technology-level volumes analysis with bottom-up unit-impact lifecycle assessment. The unit impact is derived bottom-up from a published, auditable emissions factor applied to an observable counterfactual operating profile. The fleet and category projections are derived top-down from the observable diesel-generator installed base in critical infrastructure applications, escalated through documented adoption curves rather than through scenario modelling. The grid-stabilisation contribution is grounded in published wholesale-market behaviour and in the regulatory architecture of the European bridging-infrastructure framework. Each layer is independently auditable; the aggregate is conservative.
Lifecycle Optimisation — A Conditional Second-Order Contribution
A second-order contribution to the chapter's CPP profile arises from the predictive layer of iONEOS, as the architectural separation between deterministic control and probabilistic intelligence documented in Chapter IV resolves into fleet-scale operation. The deterministic core operates from the first deployed unit on auditable, hard-coded engineering envelopes — the calculations of this chapter apply on the deterministic baseline. The probabilistic layer activates as fleet-scale telemetry accumulates beyond the statistical thresholds required for model validation, and processes the second-by-second cell-level telemetry of the 48-cell CORE-32 configuration into degradation-curve forecasting, optimal-cycling regimes, and end-of-life replacement timing.
The climate consequence of this second-order layer is the potential extension of the cell-pack calendar life from a normative 10 to 12 years, characteristic of LFP chemistries operated under generic battery-management-system regimes, to approximately 15 years or longer under cell-level optimisation against fleet-derived degradation signatures. This extension translates directly into lifecycle carbon displacement: the embodied emissions of the cell-pack manufacturing cycle, depreciated across a longer operational life, deliver a higher avoided-emissions-per-tonne-of-embodied-CO2 ratio across the asset's service life. The order-of-magnitude effect on the unit impact figure of Layer 1 is approximately a 15 to 25 percent increase, accumulating across the fleet as the predictive layer activates against fleet-derived telemetry.
This contribution is treated throughout this chapter as a conditional second-order figure rather than as a claimed first-order benefit. The conditionality is engineering, not aspirational: the deterministic core operates from unit one; the probabilistic layer activates as the dataset reaches the volume required for model validation. The architectural commitment is documented; the activation timing is dependent on fleet expansion. The chapter's headline CPP figures — 26 megatonnes GT direct attribution by 2040, 210 megatonnes category potential, threshold passage at factor 2.1 — are computed on the deterministic baseline alone, without lifecycle-extension headroom. The lifecycle layer is the upside; the chapter's defended figures are the floor.
Bridge to Chapter VI
The climate performance potential established in this chapter is the institutional precondition for World Fund participation in the iONE financing round. The chapter has established that the category passes the 100 Mt CO2e per annum threshold by a factor of 2.1 under the conservative case, that GT direct attribution to 2040 reaches approximately 26 megatonnes per annum at fleet maturity, and that the underlying methodology is constructed in alignment with the framework the firm has publicly committed to in its investor communications. The figures are auditable, the counterfactuals are observable, the emissions factors are published, and the attribution rules are documented.
The climate-performance argument, however, is necessary but not sufficient for the investment thesis. A platform passing the institutional climate threshold by a factor of 2.1 has cleared the impact-side hurdle; it has not yet demonstrated the economic engine through which the impact is delivered to the European market at the scale the threshold-passage requires. The next chapter addresses the unit economics, the three-layer revenue architecture, and the financial mechanics through which the platform converts its architectural and climate position into the commercial trajectory that the volumes analysis of this chapter presupposes.