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Stright, D.

Publications and source records attributed to Stright, D..

Overview of the Biomass Scenario Model

Biofuels are promoted in the United States through legislation, as one part of an overall strategy to lessen dependence on imported energy as well as to reduce the emissions of greenhouse gases (Office of the Biomass Program and Energy Efficiency and Renewable Energy, 2008). For example, the Energy Independence and Security Act of 2007 (EISA) mandates 36 billion gallons of renewable liquid transportation fuel in the U.S. marketplace by the year 2022 (U.S. Government, 2007). Meeting the volumetric targets has prompted an unprecedented increase in funding for biofuels research, much of it focused on producing ethanol and other fuel types from cellulosic feedstocks as well as additional biomass sources (such as oil seeds and algae feedstock). In order to help propel the biofuels industry, the U.S. government has enacted a variety of incentive programs (including subsidies, fixed capital investment grants, loan guarantees, vehicle choice credits, and corporate average fuel economy standards) -- the short-and long-term ramifications of which are not well understood. Efforts to better understand the impacts of incentive strategies can help policy makers to develop a policy suite which will foster industry development while reducing the financial risk associated with government support of the nascent biofuels industry.

09 BIOMASS FUELS↗

Biomass Scenario Model Documentation: Data and References

The Biomass Scenario Model (BSM) is a system dynamics model that represents the entire biomass-to-biofuels supply chain, from feedstock to fuel use. The BSM is a complex model that has been used for extensive analyses; the model and its results can be better understood if input data used for initialization and calibration are well-characterized. It has been carefully validated and calibrated against the available data, with data gaps filled in using expert opinion and internally consistent assumed values. Most of the main data sources that feed into the model are recognized as baseline values by the industry. This report documents data sources and references in Version 2 of the BSM (BSM2), which only contains the ethanol pathway, although subsequent versions of the BSM contain multiple conversion pathways. The BSM2 contains over 12,000 total input values, with 506 distinct variables. Many of the variables are opportunities for the user to define scenarios, while others are simply used to initialize a stock, such as the initial number of biorefineries. However, around 35% of the distinct variables are defined by external sources, such as models or reports. The focus of this report is to provide insight into which sources are most influential in each area of the supply chain.

09 BIOMASS FUELS↗