feedstock production

Agricultural crop and residue production by county - mature-market medium scenario

This dataset contains data on agricultural crop and residue production by county from 2022 to 2041. The agricultural crop in this dataset includes barley, biomass sorghum, corn, cotton, energy cane, eucalyptus, grain sorghum, hay, miscanthus, oats, pine, poplar, rice, soybean, switchgrass, wheat, and willow, and the agricultural residue includes barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al., 2024) for the mature-market medium scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use teh contact form and indicate the dataset by name.

Keywords
BT23
agriculture
agricultural production
Agricultural residues
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agri_crop.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural crop.
prod: This indicates the total production of the agricultural crop in biomass dry ton.
plnt: This indicates the total planted area in acres.
harv: This indicates the total harvested area in acres.
Agri_resd.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural residue.
total_resd: This indicates the in-field production of residue excluding grain in biomass dry ton.
prod: This indicates the total production of harvested residue in the scenario in biomass dry ton.
harv: This indicates the total harvested area in acres.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of U.S. Renewable Carbon Resources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
https://doi.org/10.23720/BT2023/2282885
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BT23

Agricultural crop and residue production by county - near-term scenario

This dataset contains data on agricultural crop and residue production by county in 2041. The agricultural crops in this dataset include barley, corn, cotton, grain sorghum, hay, oats, rice, soybeans, and wheat. The agricultural residues include barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al.,2024) for the near-term scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use the contact form and indicate this dataset by name.

Keywords
BT23
agriculture
agricultural production
agricultural crop
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agcrop.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
landsrce: This indicates the land source.

Agresid.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod_totl: This indicates the total amount of resource modeled as produced under the scenario simulation.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
Landsrce: This indicates the land source.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of the U.S. Renewable Carbon Sources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
10.23720/BT2023/2316171
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BT23

2021 Forestland Biomass Production Costs for the 2024 Billion Ton Analysis

This dataset contains harvesting, chipping, and production cost data for forestland production by region and forest harvest system. The dataset supports Biomass from the forested land base analysis in the BT23 (Davis et al., 2024) and subsequent modeling using the Forest Sustainable and Economic Analysis Model (ForSEAM). The cost data was updated by Burton English and is in 2014 dollars and 2021 dollars. Data sources can be found in the accompanying PDF, ‘2021 Biomass Production Costs for the 2024 Billion Ton Analysis’, and the details can be found in the accompanying Microsoft Word file.

Associated Content in the KDF
A-customized-dataset-for-national-timberland-resources-modeled-with-ForSEAM
Keywords
feedstock production
costs
forestland
BT23
forestry
small-diameter trees
logging residues
forest harvest system
harvesting cost
chipping cost
forest production cost
Publication Date
Metadata
Cost_by_FHS_and_Region.csv is a comma-separated file that holds the following variables: Forest_Harvest_Systems: This is for different forest silvicultural and harvest methods.
Region: This is for different production cost zones of the CONUS as defined by ForSEAM.
Slope_over_40%: This is a binary variable to indicate if the slope exceeds 40%.
CutToLength: This is a binary variable to indicate if the cut-to-length method is used.
Cut: This indicates the forest management practice of either thinning or clearcutting.
Type: This indicates the type of forest.
Harverst_Production_Costs_2021$_per_bdt: The harvest costs of production per bone dry ton (bdt) in 2021 dollars.
Chipping_Costs_2021$_per_bdt: The costs of production to chip the biomass per bone dry ton (bdt) in 2021 dollars.
Total_Costs_2021$_per_bdt: The costs of production to harvest and chip the biomass per bone dry ton (bdt) in 2021 dollars.
Harverst_Production_Costs_2014$_per_bdt: The harvest costs of production per bone dry ton (bdt) in 2014 dollars.
Chipping_Costs_2014$_per_bdt: The costs of production to chip the biomass per bone dry ton (bdt) in 2014 dollars.
Total_Costs_2014$_per_bdt: The costs of production to harvest and chip the biomass per bone dry ton (bdt) in 2014 dollars.
Total_Forest_Production_Costs_2021$_per_bdt: The total production costs of forestland biomass per bone dry ton (bdt) in 2021 dollars.
Timber_Costs_2014$_per_dry_ton: The costs for timber per dry ton biomass in 2014 dollars.
Chipper_Costs_2014$_per_dry_ton: The costs for chipper per dry ton biomass in 2014 dollars.
Total_Costs_2014$_per_dry_ton: The costs for timber and chipper per dry ton biomass in 2014 dollars.
Cost_by_Region.csv is a comma-separated file that holds the following variables:
Region: This is for different production cost zones of the CONUS as defined by ForSEAM.
Slope_over_40%: This is a binary variable to indicate if the slope exceeds 40%.
CutToLength: This is a binary variable to indicate if the cut-to-length method is used.
Type: This indicates the type of forest.
Cut: This indicates the forest management practice of either thinning or clearcutting.
Forest_Production_Costs_2021$_per_bdt: The total production costs of forestland biomass per bone dry ton (bdt) in 2021 dollars.
Timber_Costs_2014$_per_dry_ton: The costs for timber per dry ton biomass in 2014 dollars.
Chipper_Costs_2014$_per_dry_ton: The costs for chipper per dry ton biomass in 2014 dollars.
Total_Costs_2014$_per_dry_ton: The costs for timber and chipper per dry ton biomass in 2014 dollars.
Cost_by_FHS.csv is a comma-separated file that holds the following variables:
Forest_Harvest_Systems: This is for different forest silvicultural and harvest methods.
Cut: This indicates the forest management practice of either thinning or clearcutting.
Harverst_Production_Costs_2021$_per_bdt: The harvest costs of production per bone dry ton (bdt) in 2021 dollars.
Chipping_Costs_2021$_per_bdt: The costs of production to chip the biomass per bone dry ton (bdt) in 2021 dollars.
Total_Costs_2021$_per_bdt: The costs of production to harvest and chip the biomass per bone dry ton (bdt) in 2021 dollars.
Harverst_Production_Costs_2014$_per_bdt: The harvest costs of production per bone dry ton (bdt) in 2014 dollars.
Chipping_Costs_2014$_per_bdt: The costs of production to chip the biomass per bone dry ton (bdt) in 2014 dollars.
Total_Costs_2014$_per_bdt: The costs of production to harvest and chip the biomass per bone dry ton (bdt) in 2014 dollars.
Lab
ORNL
Attachment
 Forest Costs of production_vJuly2024_FromEnglish2023_0.pdf
 vJuly22_2024_0.zip
Data Source
2021 Biomass Production Costs for the 2024 Billion Ton Analysis
Bioenergy Category
Feedstock Production
Author(s)
Burton English , Jin Wook Ro , Lixia Lambert , Maggie Davis , Matthew H Langholtz
isPartOf parent DOI
https://doi.org/10.23720/BT2023/2281324
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BT23

U.S. Billion-Ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry

The report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of “potential” biomass available within the contiguous United States based on assumptions about current and future inventory production capacity, availability, and technology. This follow-up report, U.S. Billion-Ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry (generally referred to as the 2011 BT2), expands on the 2005 BTS to include:

  • A spatial, county-by-county inventory of potentially available primary feedstocks
  • Price and available quantities (e.g., supply curves) for the individual feedstocks
  • A more rigorous treatment and modeling of resource sustainability.  
Associated Content in the KDF
Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply
2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy
Keywords
billion-ton update
feedstock production
URL
http://energy.gov/sites/prod/files/2015/01/f19/billion_ton_update_0.pdf
Bioenergy Category
Feedstock Production
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.
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