BATL BioFuels Diesel Fuel Test Program

   Welcome to the BATL BioFuels diesel fuel test program. Here you will find out how you can actually test the use of EnerBurn™ in your fleet. If you have run the Calculator (www.batlbiofuels.com/calculator), you have seen just how much you can expect to save using your own historical fueling data. Now it is time to take this fuel data and put it to use and prove the economies you can achieve using the EnerBurn diesel engine catalyst. This requires a good baseline and detailed input to ensure accuracy. Here’s how it works.

We follow this basic formula:

1.

   Collect your fleet fuel data on miles driven, fuel used and load weights hauled (load weight is optional) for the past 2-3 years. Copy all data into our master spreadsheet; Click Here for instructions on downloading and completing the spreadsheet. When completed, email it back to us at service@batlbiofuels.com

2.

   We will then run the data through our statistical protocol to determine if the fleet’s data is detailed and accurate enough to show a low variability (poor data, which from our experience, a lot of fleet’s have) leaves the variability so high that proving anything is impossible. For example, if a fleet has a monthly variability of 10-12%, proving a 10% improvement will be impossible)

3.

   Assuming the fleet’s data is viable, together we determine a fleet of 25-50 trucks to test, calculate the quantity of EnerBurn necessary to complete the test (9-12 month period as it takes 4 -5 months for the EnerBurn catalytic effect to fully develop in the engine) and determine the treatment method.

4.

   The treatment starts and your fleet is responsible for recording the fueling data and miles driven each month and sending it to us for analysis. After the catalytic effect is reached, we provide monthly updated charts of fleet MPG improvement.

5.

   Following a successful test, you can then become a full time EnerBurn customer! We only need to reach a 2-3% efficiency gain for most test program to be no net cost to the fleet owner.

   Please download the Electronic Data Exchange NDA, (PDF form), and return it with your excel data file if you are interested in testing. Please email it to us, along with your contact information, to service@batlbiofuels.com. We will perform the data analysis to determine if your fleet has statistically low enough variability to prove any MPG improvement.

   Below you will find a primer on why we need the fueling data and how we use it. Naturally we are prepared to sign NDA’s to keep your fueling data safe and secure.

Data requirements and why we need them

To prove a statistically significant change in MPG for a fleet of tractors, a proper benchmark must be prepared prior to the addition of any efficiency products. The test fleet must utilize the same tractors from which the baseline was established, otherwise one is comparing apples to oranges and the test is compromised. Here is the procedure:

1.

   Monthly data for fuel added and miles driven for the month (or odometer readings from last day of each month) are required for at least two years, preferably three for each individual vehicle. For a terminally fueled fleet that keeps the same vehicles in use over 95% of the time, we can utilize fleet level data for that terminal provided it’s on a monthly basis. We use a three-month moving average to smooth out the monthly variations in fuel economy. These data are then analyzed to determine the fleet variability of MPG.

2.

   The historical data are also used to establish fleet MPG seasonality. Tractor fleets show significant fluctuations in fuel economy throughout the year as the seasons change due to the variables in fuel formulas and weather effects. Fleets operating primarily in the northern half of the country will experience seasonal fluctuations of between 10-12% between January and July. Variations of this magnitude make proving a statistically significant change in fuel economy (from ANY type of fuel economy improvement program) extremely difficult. We have developed a protocol for measuring any change, which incorporates the seasonality changes.

3.

   The seasonality curve is then used to establish 5% variation bands (both lower and upper control limits) this shows on the graph as a banded channel 10% wide which can be forecast into the future based on the historical wear degradation of MPG over time. This band can then be adjusted by any amount to become an expected MPG improvement band (10% for example). The 3 MMA (month moving average) is then plotted as EnerBurn use starts. As the catalytic coating becomes more pervasive (approximately 4 months in line haul fleets) the 3 MMA will gravitate up into the improvement band proving the statistically significant improvement or impairment should the MPG decline!

4.

   Due to the mandatory use of ULSD which is due to commence shortly, proper pre ULSD baselines need to be established and then adjusted for the expected 2-2.5% reduction in fuel economy (July 24th, 2006 Transport Topics) to provide a ULSD adjusted baseline.

See sample graph of actual results of a fleet that used EnerBurn in over 8000 tractors for 3 years by clicking here.

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