Reduce Fuel Costs
Independent tests have shown that the combined installation of TrailerBlade, AeroFlap, and Rocketail can result in a composite score of up to 9.98% in fuel savings:
TrailerBlade™ has proven fuel savings of greater than 7.15% at highway speeds in strict accordance with EPA testing guidelines. Not only did the TrailerBlade™ pass the SmartWay® certification requirement for an Advanced Side Skirt, it conclusively exceeded the certification requirement.
TrailerFlap’™ advanced vented design helps reduce fuel consumption by 1%, typically saving 100 gallons of diesel fuel per year.
Rocketail™ is SmartWay verified and CARB approved for GHG2 and shown to reduce rear-end drag on trailers by 3.36%.
How Delta CdA is Calculated
At highway speed, aerodynamic drag accounts for more than half of your fleet’s fuel consumption. Reducing drag is the quickest and most cost-effective way to reduce both your fleet’s fuel consumption and carbon footprint.
The GHG2 standard established by the EPA requires devices to be tested to a uniform standard of drag reduction. They are classified on the amount of drag area they reduce (expressed in square meters). The effectiveness of aerodynamic devices is then measured in terms of how much of this drag area they remove or Delta CdA. Once the baseline drag and drag reduction amounts are known, fuel savings can be calculated.
For example, if a device has a .40 Delta CdA, it removes .40 square meters of drag area from the tractor-trailer combination, and is designated as a Bin III.
| If a trailer's measured Delta CdA is | Designate the trailer as | Use this value for the Delta CdA | |
| ≤0.09 | Bin I | 0.0 | |
| 0.10—0.39 | Bin II | 0.1 | |
| 0.40—0.69 | Bin III | 0.4 | |
| 0.70—0.99 | Bin IV | 0.7 | |
| 1.00—1.39 | Bin V | 1.0 | |
| 1.40—1.79 | Bin VI | 1.4 | |
| >1.80 | Bin VII | 1.8 |
Delta to Dollars Calculator
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Our model is based on the 2015 Canadian NRC Report: “Improving the Aerodynamic Efficiency of Heavy Duty Vehicles”, 2015, p.19. These numbers are only a guide. You should derive your own conclusions based on your specific fleet’s data.