Toyama Transport — Japan
A Hino truck at Toyama Transport was measured after each of three separate applications over 66 days and 20,422 km. Fuel efficiency improved by 7.7%, then 9.7%, then 19.0% against the same baseline — an aggregate of 13.1% across the whole trial. The rising pattern is the interesting part, not the peak value.
Three applications, three measurements, one baseline: the shape of the curve says more than any single point on it.
| Operator | Toyama Transport, Japan — logistics |
|---|---|
| Fleet context | 10+ Hino trucks |
| Vehicle measured | 1 Hino truck, odometer 401,928 km at start |
| Baseline | 2.48 km/L |
| Applications | Three: 23 Feb, 17 Mar, 16 Apr 2017 |
| Trial period | 66 days, 20,422 km, 7,364 L consumed |
| Aggregate result | 2.805 km/L — 13.1% above baseline |
Every measurement, not just the best one
| Application | Measured on | Distance since (km) | Fuel efficiency (km/L) | Change vs baseline |
|---|---|---|---|---|
| 1st — 23 Feb 2017 | 13 Mar 2017 | 5,134 | 2.67 | +7.7% |
| 2nd — 17 Mar 2017 | 12 Apr 2017 | 8,944 | 2.72 | +9.7% |
| 3rd — 16 Apr 2017 | 30 Apr 2017 | 6,344 | 2.95 | +19.0% |
| Whole trial | 66 days | 20,422 | 2.805 | +13.1% |
Method before result
The truck ran its normal duty throughout. NanoEFX was applied three times over the trial, and fuel efficiency was measured after each application against the same starting baseline of 2.48 km/L, with odometer readings and distance recorded at every step.
The aggregate figure is calculated across the full trial: 20,422 km driven on 7,364 litres, giving 2.805 km/L, or 13.1% above baseline. That is the number that describes the trial as a whole.
The individual measurements rise steadily: 7.7% after just 18 days, then 9.7%, then 19.0%. A positive signal this early is consistent with other documented trials — some measurable effects have appeared within weeks — and the further rise across repeated applications is broadly consistent with the time-dependent behaviour seen on the KOSEN engine test bench, though a single truck cannot establish that pattern on its own.
The limits of this trial
We publish these next to the result rather than in a footnote. If a limitation would change how you read the number, you should read it at the same time as the number.
Known limitations
- This is a single truck, not the ten-truck fleet. The fleet size describes the operator, not the sample.
- The three intervals cover different distances (5,134 / 8,944 / 6,344 km) and different calendar periods, so they are not equally weighted observations.
- There is no control group and no correction for load, route or season across the 66 days.
- The published case study leads with 18.87%, the third measurement. That is a real number, but it is one point in the series, not the trial result — the trial result is 13.1%.
- Our recalculation of the third interval gives 18.95% where the published figure states 18.87%, and 9.68% where it states 9.76%. Small, but we are asking for the calculation basis before adopting either.
Reading this evidence in context
For an operator, the useful finding is not the peak but the shape: a single application measured after two weeks would have shown 7.7% and understated what the same truck did later.
It also sets an expectation for pilot design. A trial that runs one application and measures once, early, will tend to see the smallest number the product produces.
And it sets an expectation for honesty: when we quote this trial, we quote 13.1% with the curve next to it.
Questions operators ask about this trial
Why do you quote 13.1% when the case study says 18.8%?
Why did the effect increase with each application?
Does that mean results keep improving indefinitely?
Provenance
- Operator
- Toyama Transport, Japan
- Vehicle
- Hino truck, odometer 401,928 km at trial start
- Sources
- Published case study dataset; Eco-Spray master test dataset (2020), anonymised entry matched by odometer and trial distance
- Trial period
- 23 February to 30 April 2017
- Last checked
- 15 August 2026
The only baseline that matters is yours
Every trial on this site was run on someone else’s vehicles, duty cycle and baseline. A NanoEFX pilot measures yours — and we will help you design it with a control group so the result stands up.