Estimated attribution of the RFS Program on soybean biodiesel in the U.S. using the Bioenergy Scenario Model.

Jesse Miller, Christopher Clark, Steve Peterson, Emily Newes
Author Information
  1. Jesse Miller: U.S. Environmental Protection Agency.
  2. Christopher Clark: U.S. Environmental Protection Agency.
  3. Steve Peterson: Independent Contractor.
  4. Emily Newes: National Renewable Energy Laboratory.

Abstract

Biofuels are supported by various governmental policies in the U.S. and globally as an alternative transportation fuel for environmental, geopolitical, and economic reasons. Much debate surrounds the effectiveness of these policies as well as the overall net environmental effect of increased biofuels use. In the U.S., recent studies have shown that the Renewable Fuels Standard (RFS) Program, overall, may not have been the leading driver of the ethanol industry from 2005 to 2020, contrary to common perception. Similar scrutiny has not been applied to biodiesel. This study uses the Bioenergy Scenario Model, a well-vetted system dynamics model, to retrospectively apportion historical biodiesel production between the RFS Program and other potentially influential drivers, such as the economics of biodiesel vs. diesel, the Biodiesel Tax Credit (BTC), California's Low Carbon Fuel Standard, and other factors. From 2002-2020 about 36% of biodiesel production can be attributed to the RFS Program, 35% to the BTC, and the rest to other factors. Thus, the overall effect of the RFS Program appears much larger on biodiesel than on corn ethanol. The finding that the same policy may have very disparate effects on different biofuels helps inform the design of future policies on biofuels.

Keywords

References

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Grants

  1. EPA999999/Intramural EPA

Word Cloud

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