skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Agricultural Baseline (BL0) scenario

Abstract

Scientific reason for data generation: to serve as the reference case for the BT16 volume 1 agricultural scenarios. The agricultural baseline runs from 2015 through 2040; a starting year of 2014 is used. Date the data set was last modified: 02/12/2016 How each parameter was produced (methods), format, and relationship to other data in the data set: simulation was developed without offering a farmgate price to energy crops or residues (i.e., building on both the USDA 2015 baseline and the agricultural census data (USDA NASS 2014). Data generated are .txt output files by year, simulation identifier, county code (1-3109). Instruments used: POLYSYS (version POLYS2015_V10_alt_JAN22B) supplied by the University of Tennessee APAC The quality assurance and quality control that have been applied: • Check for negative planted area, harvested area, production, yield and cost values. • Check if harvested area exceeds planted area for annuals. • Check FIPS codes.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. University of Tennessee
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Bioenergy Technologies Office (EE-3B)
OSTI Identifier:
1337885
DOE Contract Number:  
AC05-00OR2272
Resource Type:
Data
Resource Relation:
Related Information: U.S. Department of Energy. 2016. 2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy, Volume 1: Economic Availability of Feedstocks. M. H. Langholtz, B. J. Stokes, and L. M. Eaton (Leads), ORNL/TM-2016/160. Oak Ridge National Laboratory, Oak Ridge, TN. 448p. doi: 10.2172/1271651. http://energy.gov/eere/bioenergy/2016-billion-ton-report
Data Type:
Numeric Data
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS

Citation Formats

Davis, Maggie R., Hellwinckel, Chad M, Eaton, Laurence, Turhollow, Anthony, Brandt, Craig, and Langholtz, Matthew H.. Agricultural Baseline (BL0) scenario. United States: N. p., 2016. Web. doi:10.11578/1337885.
Davis, Maggie R., Hellwinckel, Chad M, Eaton, Laurence, Turhollow, Anthony, Brandt, Craig, & Langholtz, Matthew H.. Agricultural Baseline (BL0) scenario. United States. doi:10.11578/1337885.
Davis, Maggie R., Hellwinckel, Chad M, Eaton, Laurence, Turhollow, Anthony, Brandt, Craig, and Langholtz, Matthew H.. Wed . "Agricultural Baseline (BL0) scenario". United States. doi:10.11578/1337885. https://www.osti.gov/servlets/purl/1337885.
@article{osti_1337885,
title = {Agricultural Baseline (BL0) scenario},
author = {Davis, Maggie R. and Hellwinckel, Chad M and Eaton, Laurence and Turhollow, Anthony and Brandt, Craig and Langholtz, Matthew H.},
abstractNote = {Scientific reason for data generation: to serve as the reference case for the BT16 volume 1 agricultural scenarios. The agricultural baseline runs from 2015 through 2040; a starting year of 2014 is used. Date the data set was last modified: 02/12/2016 How each parameter was produced (methods), format, and relationship to other data in the data set: simulation was developed without offering a farmgate price to energy crops or residues (i.e., building on both the USDA 2015 baseline and the agricultural census data (USDA NASS 2014). Data generated are .txt output files by year, simulation identifier, county code (1-3109). Instruments used: POLYSYS (version POLYS2015_V10_alt_JAN22B) supplied by the University of Tennessee APAC The quality assurance and quality control that have been applied: • Check for negative planted area, harvested area, production, yield and cost values. • Check if harvested area exceeds planted area for annuals. • Check FIPS codes.},
doi = {10.11578/1337885},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 13 00:00:00 EDT 2016},
month = {Wed Jul 13 00:00:00 EDT 2016}
}

Dataset:

Save / Share: