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Title: Biomass Scenario Model Documentation: Data and References

Abstract

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 inmore » each area of the supply chain.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy Biomass Program
OSTI Identifier:
1082565
Report Number(s):
NREL/TP-6A20-57831
DOE Contract Number:  
AC36-08GO28308
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; BIOMASS SCENARIO MODEL; BSM; BIOMASS; BIOFUEL; MODEL; DATA; REFERENCES; Bioenergy; Energy Analysis

Citation Formats

Lin, Y., Newes, E., Bush, B., Peterson, S., and Stright, D. Biomass Scenario Model Documentation: Data and References. United States: N. p., 2013. Web. doi:10.2172/1082565.
Lin, Y., Newes, E., Bush, B., Peterson, S., & Stright, D. Biomass Scenario Model Documentation: Data and References. United States. https://doi.org/10.2172/1082565
Lin, Y., Newes, E., Bush, B., Peterson, S., and Stright, D. 2013. "Biomass Scenario Model Documentation: Data and References". United States. https://doi.org/10.2172/1082565. https://www.osti.gov/servlets/purl/1082565.
@article{osti_1082565,
title = {Biomass Scenario Model Documentation: Data and References},
author = {Lin, Y. and Newes, E. and Bush, B. and Peterson, S. and Stright, D.},
abstractNote = {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.},
doi = {10.2172/1082565},
url = {https://www.osti.gov/biblio/1082565}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed May 01 00:00:00 EDT 2013},
month = {Wed May 01 00:00:00 EDT 2013}
}