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Fuel-cost volatility as a structural resilience risk

Low-CAPEX efficiency measures under elevated energy-price exposure

Analysis as of 25 May 2026. Market prices have not been updated to reflect later data. A note on what has changed since then appears at the end.

Summary

The short version

  • The disruption at the Strait of Hormuz produced one of the sharpest energy-price dislocations on record. The IEA has described it as the largest supply disruption in the history of the oil market.
  • The consequence for fuel-intensive operators is not only higher spending. It is a higher fuel share of total cost — and therefore permanently greater exposure to the next commodity shock.
  • Capital-intensive responses — scrubbers, engine modernisation, alternative fuels — require 12 to 24 months and seven- to eight-figure sums per unit. They remain necessary. They do not answer the next twelve months.
  • Measures that reduce specific fuel consumption without hardware changes or downtime become relatively more attractive when fuel prices are high and volatile. The payback horizon shortens while the capital commitment stays low.
  • Our recommendation is not to scale on an assumption. It is to validate on a small number of units first, then decide.
1 · The shock

What happened to prices

Tensions in the Strait of Hormuz escalated from late February 2026; on 2 March the Strait was declared closed to shipping linked to the United States and Israel. Throughput of around 20 million barrels a day was affected.

Benchmark levels at the 25 May 2026 cut-off date, with the assessment date for each.
BenchmarkPre-conflictAt cut-offChangeSource and assessment date
Brent (Dated)61 USD/bbl98 USD/bbl+60.7%Platts Dated Brent assessment, 25 May 2026
VLSFO, Rotterdam485 USD/mt758 USD/mt+56.3%Ship & Bunker daily price, 25 May 2026
Diesel, Germany1.696 EUR/L1.972 EUR/L+16.3%fuel-prices.eu, 18 May 2026

The German diesel figure carries an 18 May assessment date. It is a pump price including energy tax and VAT, assessed by a retail source rather than a wholesale benchmark, and we have not restated it as at 25 May.

The path matters as much as the level. Brent rose from 61 USD/bbl at the start of January to a peak of 126.30 USD/bbl on 31 March, then eased to 98 USD/bbl by late May as the market priced in hopes of a diplomatic settlement. Dated Brent is the physical spot benchmark and is assessed separately from ICE Brent futures; the two series need not move together.

Dated Brent crude oil price, January to May 2026 Four assessment dates against the pre-conflict level of 61 USD per barrel: 28 February 71.20, 15 March 104.80, 31 March 126.30 at the peak, and 98.00 on 25 May 2026, the cut-off date used in this analysis. Vertical axis starts at zero. 0 40 80 120 160 Pre-conflict 61 71.2 +16.7% 28 Feb first reaction 104.8 +71.8% 15 Mar closure priced in 126.3 +107.0% 31 Mar peak 98 +60.7% 25 May cut-off date USD per barrel · Dated Brent
Dated Brent, assessed by Platts. Market data, not our measurement — shown because it is the price input to the cost calculations in this piece. The vertical axis starts at zero; the accented column is the cut-off value the analysis uses, not the peak.
2 · Why it persists

Structural rather than temporary

A price spike raises costs. A sustained repricing changes the shape of the cost base.

Cost-share shift at the cut-off date. These are our own model values; they are not drawn from an external source.
MeasureBeforeAfter
Bunker share of total operating cost, container shipping45.0%55.2%
Diesel share of operating cost, 40-tonne long-haul truck36.2%39.0%
Energy-cost increase, heavy industry+33% to +47%

Once fuel accounts for more than half of the cost base, the operator’s margin is a function of a commodity price it does not control. That is the resilience problem, and it does not disappear when prices retreat.

3 · Lead times

Why the capital-intensive answers do nothing for the next twelve months

Scrubber installations, engine modernisation and conversion to alternative fuels typically require between one and ten million euros per unit and 12 to 24 months of lead time. Under current price and liquidity conditions, that is a necessary programme — but it cannot answer this year’s problem.

4 · Where NanoEFX fits

What it is, what the evidence supports, and what it does not

What it is. NanoEFX is a water-based treatment applied to the existing air filter or a suitable intake filter medium. It is not a fuel additive, not an oil additive, not an ECU remap and not a retrofit — nothing is introduced into the fuel or oil systems, and no hardware is changed.

The technology is patented in Japan (2018) and the United States (2021) and is listed on UNIDO ITPO Tokyo’s Sustainable Technology Promotion Platform. A patent records that an invention is novel. It is not evidence that it works, and we do not present it as one. That listing recognises the technology as relevant to sustainable industrial development. It is not a performance test, and UNIDO did not test the product. The EU safety data sheet is prepared under the applicable REACH framework and states that no chemical safety assessment has been carried out.

What the evidence supports. Across 17 results — supervised trials and operator records, which we rank below them — 71% show consumption reductions between 5% and 15%, with a median of 10.7%. That is an observation across a specific set of trials — not a level of performance we promise. Some individual trials were weak, and some were mixed or inconclusive. The weakest is a Nigerian generator fleet, IHS Towers: a small positive median of +1.7%, too small and variable to establish a clear treatment effect for that duty cycle. Results depend on engine type, duty cycle, filter condition and correct application. We do not explain here how a coating on a filter would change combustion: that is the manufacturer’s proposed mechanism, and we have not independently measured it.

What the evidence does not support

We have no field validation for large marine two-stroke engines. Any figure for that application is a projection, not a result. Where fuel consumption falls, fuel-related CO₂ falls proportionally — but that is a figure calculated from the fuel burned, not a separately measured exhaust effect.

5 · Illustrative economics

Scenario calculations, not results

The figures below are scenario calculations under a deliberately conservative assumption of a 5.5% consumption reduction — below the observed median. They are not field-validated results, and the confidence attached to each differs.

Payback under a 5.5% consumption-reduction assumption at cut-off prices.
CasePaybackConfidence
40-tonne long-haul truck165 daysAssumption sits within the range observed for road applications
Container vessel59 days (50 including the EU ETS effect)Not field-validated. No marine two-stroke validation exists; treat as an order of magnitude only

The vessel figure looks implausible until the denominator is visible. The modelled vessel burns around 17,700 tonnes of bunker a year, which at the cut-off price is roughly USD 13.4 million. A 5.5% reduction is about USD 740,000 — hence the payback. The saving is large because the fuel bill is large, not because the effect is. Investment per unit is approximately USD 120,000, against USD 2–4 million for capital-intensive alternatives. The calculation assumes a product price of USD 500 per litre, ex works and undiluted. The EU ETS component — additional cost of around EUR 2.14 million per vessel per year at the cut-off date — improves the maritime case, but it is a cost avoided through lower fuel consumption, calculated from the fuel figure, not a separately measured emissions result.

We have deliberately not extended these figures to fleet level. A projection built on an unvalidated application does not become more reliable by being multiplied.

6 · A staged approach

Validate first, then decide

  • Phase 1 — Pilot (0–3 months). Three to five representative units per asset class. Measure consumption against a clearly defined baseline. For large marine engines, test the application protocol and filter logistics before anything else.
  • Phase 2 — Validation (3–6 months). Standardised measurement. Confirm or revise the efficiency assumption against your own data. This is the decision gate: a result that does not hold up on your duty cycle should stop the programme, not be averaged away.
  • Phase 3 — Scale (6–24 months). Prioritise by fuel intensity and cost exposure. Integrate into existing maintenance cycles.
7 · Our assessment

What this is, and what it is not

This is our own assessment, and we state its limits. NanoEFX does not replace the long-term transition of propulsion systems, and it does not replace capital-intensive decarbonisation. What it offers, in a period of elevated price volatility, is one of the few levers that can take effect within a maintenance cycle, preserve operating liquidity and reduce fuel-related emissions costs as a consequence of lower consumption.

For operators with high fuel-cost exposure, it is worth testing as a short-term resilience measure — one element of a broader efficiency programme, not a substitute for one.

Note on the cut-off date

This analysis reflects market conditions as of 25 May 2026 and has deliberately not been recalculated using later data. Since then, prices rose again in mid-August as expectations of a reopening faded. The US Energy Information Administration does not expect Middle East production to return to near pre-conflict levels before early 2027, and projects a Brent average of around 87 USD/bbl for 2026. German diesel has risen further, to roughly EUR 2.23–2.29 per litre in early September 2026. The structural argument is unchanged. The specific figures above are not current.

Next step

Measure it on your own units

A pilot with a defined baseline settles in one maintenance cycle what no projection can.

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