Exploring Bioeconomy Growth through the Public Release of the Biomass Scenario Model

Emily Newes, Brian Bush, Daniel Inman, Laura Vimmerstedt, Steve Peterson, Mary Biddy

Research output: NRELPoster


The Biomass Scenario Model (BSM) is an important tool for exploring vibrant future bioeconomy scenarios that leverage domestic resources. Developed by NREL and BETO, this model of the domestic biofuels supply chain has been used to explore success strategies for BETO's activities towards bioeconomy growth. The BSM offers a robust test bed for detailed exploration of effects of BETO activities within the complex context of resource availability; physical, technological, and economic constraints; behavior; and policy. The public release of the model in 2017 will allow broad engagement with the theme of the conference as model users can analyze bioeconomy growth, domestic biomass resource use, and associated effects. The BSM is a carefully validated, state-of-the-art, dynamic model of the biomass to biofuels supply chain. Using a system dynamics simulation modeling approach, the model tracks long-term deployment of biofuels given technology development and investment, considering land availability, the competing oil market, consumer demand, and government policies over time. Sample outputs include biofuels production, feedstock use, capital investment, incentives, and costs of feedstocks and fuels. BSM scenarios reveal technological, economic, and policy challenges, as well as opportunities for dynamic growth of the bioeconomy with strategic public and private investment at key points in the system. The model logic and results have been reviewed extensively, through collaborative analysis, expert reviews and external publications (https://www.zotero.org/groups/bsm_publications/).
Original languageAmerican English
StatePublished - 2017

Publication series

NamePresented at Bioeconomy 2017, 11-12 July 2017, Arlington, Virginia

NREL Publication Number

  • NREL/PO-6A20-68784


  • bioeconomy
  • bioenergy
  • biofuel
  • biomass
  • system dynamics


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