Feedstock Production

Conventional agricultural crop production data

This dataset contains data on agricultural crop production. The agricultural crop in this dataset includes barley, corn, cotton, grain sorghum, hay, oats, rice, soybeans, and wheat, and the dataset was obtained from the database of the 2023 Billion-Ton Report (Davis et al., 2024) for the Feedstock Production Emissions to Air Model (FPEAM).

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

Keywords
crop
Publication Date
Organization
DOE
Metadata
Class: This indicates the land source or analysis source corresponding to the agricultural chapter of 2023 Billion-Ton Report.
Subclass: This indicates the class of biomass crop.
Resource: This indicates the type of agricultural crop.
Fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
County: This indicates the name of the county.
State_name: This indicates the name of the state.
Usdaregion: This indicates United States Department of Agriculture Region as specified.
Sqmi: This indicates the total area of the county in square miles including water.
Till: This indicates the tillage class. “NT” indicates no tillage, “RT” indicates reduced tillage, and “CT” indicates conventional tillage.
Model_name: This indicates the source of data from the Policy Analysis System (POLYSYS) model.
Scenario_name: This indicates the name of the scenario defined in the 2023 Billion-Ton Report. “mm” indicates mature market scenario, and it also contains “low”, “high”, and “emerging” scenarios.
Prc_ofr: This indicates a price offered for a ton of biomass.
Prod: This indicates the total production of the agricultural crop in biomass dry ton.
Harvest: This indicates the total harvested area in acres.
Yield_at_harverst: This indicates the yield with corresponding units at the time of harvest.
Mean_annual_yield_at_harvest: This indicates the mean annual yield at this time of harvest with defined units.
Produnit: This indicates the unit of production.
Yldunit: This indicates the unit of yield.
Btu_ton: This indicates the energy contents in British Thermal Unit (BTU) per biomass dry ton.
Production_energy_content: This indicates the total energy contents in BTU which is production tons multiplied by BTU/ton.
Energy_content_unit: This indicates the unit of energy content.
Prodens_dtpersqmi: This indicates a production divided by the total area of the county.
Landsrce: This indicates the type of agricultural land defined at onset of simulation.
Year: This indicates the year.
Rotation: This indicates the defined rotation of relevant resources (oilseeds) modeled in the Policy Analysis System (POLYSYS) model.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of U.S. Renewable Carbon Resources
Bioenergy Category
Feedstock Production
Supporting Data
Author(s)
Jin Wook Ro , Maggie Davis , Chad Hellwinckel
isPartOf parent DOI
https://doi.org/10.23720/BT2023/2282885
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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

A-customized-dataset-for-yield-agricultural-resources-modeled-with-POLYSYS

This dataset provides additional variables for modelers and other interested stakeholders for yield assumptions for modeled energy crops on agricultural land in the CONUS, as modeled by the POLYSYS model.

The yield unit was changed from lb/ac to dt/ac post-processing.
V0.1 changes include: tillage for subclass like 'energy crop' is now '[null]' and for subclass = 'Intermediate oilseeds' 'till' is now 'CT' (Conventional Tillage), format now uses pipe (|) delimiter.

This dataset can be cited as:
Hellwinckel, C., D. de la Torre Ugarte, H. Cook, M Davis, M. Langholtz. 2024. “A Customized Dataset for Yield from Agricultural Resources Modeled with POLYSYS as highlighted in Chapter 5: Biomass from Agriculture.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2350581.

The chapter relevant to this research can be cited as:
Hellwinckel, C., D. de la Torre Ugarte, J. L. Field, and M. Langholtz. 2024. “Chapter 5: Biomass from Agriculture.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316171.

Keywords
feedstock yield
bioenergy crops
Usage Policy
CC0-1.0 license
Publication Date
Organization
DOE
Metadata
Date: 20240523
State: Published
Title: A Customized Dataset for Yield from Agricultural Resources Modeled with POLYSYS as highlighted in Chapter 5: Biomass from Agriculture
Authors: Chad Hellwinckel , Daniel DeLaTorre Ugarte , Hope Cook, Maggie Davis , Matthew H Langholtz
Last_editor: Maggie R. Davis
Short_Description: This dataset provides additional variables for modelers and other interested stakeholders for yield assumptions for modeled energy crops on agricultural land in the CONUS, as modeled by the POLYSYS model.
Description: We present an updated estimate of potential biomass supplies from agricultural lands. The potential for farmers to respond to new markets for biomass has been assessed with the Policy Analysis System Model (POLYSYS) in previous versions of the billion-ton report (DOE 2017, 2016, 2011) and other studies (Oyedeji et al. 2021; Davis et al. 2020; Langholtz et al. 2019; Woodbury et al. 2018; Eaton, Langholtz, and Davis 2018; Langholtz et al. 2014; Langholtz et al. 2012; Jensen et al. 2007; De la Torre Ugarte and Ray 2000; Hellwinckel et al. 2015). Building on previous analyses, POLYSYS was used to update estimates of biomass supplies and prices from agricultural lands given environmental, land use, and technical constraints. The POLYSYS model, methods, and constraints are summarized in the chapter and detailed in the appendix. Changes from previous billion-ton reports include the use of the new 2023 USDA baseline, reporting of mature-market biomass supplies (see chapter Section 5.2: Methods Summary), oilseed supply estimates, and reporting of changes to carbon emissions and soil sequestration. For more information, please see https://bioenergykdf.ornl.gov/document/customized-dataset-yield-agricultural-resources-modeled-polysys
Keywords: Feedstock Production
Variables: Class,subclass,resource,fips,county,state_name,usdaregion,sqmi,till,model_name,scenario_name,prc_ofr,prod,harvest,yield_at_harvest,mean_annual_yield_at_harvest,produnit,yldunit,btu_ton,production_energy_content,energy_content_unit,prodens_dtpersqmi,landsrce,year,rotation
Variable descriptions:
Class is a assigned label to denote land source or analysis source corresponding to the agricultural chapter of 2023 Billion-Ton Report,subclass defines a class of biomass crops, resource shows the common name of the biomass crop type, fips is a geographic defined variable corresponding to counties provided as a 5-digit code, county as county name, state_name, usdaregion is a US Department of Agriculture defined region, sqmi is square miles for the county, till shows tillage class as nt = no till & rt = reduced tillage & ct = conventional tillage, model_name defines source of data from the POLYSYS model, scenario_name defined BT23 specific scenarios (see report for more information) as mm = mature market and low to high scenarios as well as an emerging scenario, prc_ofr as price offered from the POLYSYS model, prod as production with corresponding units, harvest as harvested acres corresponding to production levels, yield_at_harvest as the yield with corresponding units at the time of harvest, mean_annual_yield_at_harvest as the mean annual yield at this time of harvest with defined units, produnit as production units corresponding to “prod” column, yldunit as yield unit corresponding to yield_at_harvest and mean_annual_yield_at_harvest, btu_ton as British Thermal Unit (btu) per ton of resource, production_energy_content as calculated from btu_ton and prod, energy_content_unit as the units corresponding to production_energy_content, prodens_dtpersqmi as production density in dry tons per square mile as calculated from semi and prod, landsrce as the type of agricultural land defined at onset of simulation, year as year of harvest (selected) to correspond to scenario year, rotation as the defined rotation of relevant resources (oilseeds) modeled in POLYSYS
Publisher: Bioenergy Knowledge Discovery Framework (bioenergyKDF) Data Center
Publication Date: 2024-05-23
Type: plain text file (txt) with pipe (|) delimiter, as zipped (compressed)
Identifier: version 0.1 (v0.1)
DOI: https://doi.org/10.23720/BT2023/2282885
Relation: 2023 Billion-Ton Report, resource=“10.23720/BT2023/2282885” relation=“isVersionOf”
Description: Version 0.1: Corrected error within version 0.0 by changing data within variable ‘till’ to ‘[null]’ for ‘subclass’ of ‘Energy crops, herbaceous’ and ‘Energy crops, woody’ and ‘till’ is CT (Conventional Tillage) for ‘subclass’ of ‘Intermediate Oilseeds’
Source: agricultural_based_biomass.AgriResdJetCropProd_wHrvYldwAnnl
Language: English
Rights: CC0-1.0 license
Lab
ORNL
Attachment
 AgriResdJetCropProd_wHrvYldwAnnl_0.1.zip
DOI
10.23720/BT2023/2350581
Bioenergy Category
Feedstock Production
Supporting Data
Author(s)
Chad Hellwinckel , Daniel DeLaTorre Ugarte , Hope Cook , Maggie Davis , Matthew Langholtz
OSTI ID DOI
2350581
isPartOf parent DOI
10.23720/BT2023/2316171
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BT23

Data from Emerging Resources: CO2

Data from emerging resources, CO2 from chapter 7.3 in the 2023 Billion-Ton Report. Please access the data through the BT23 Data Portal or directly at https://bioenergykdf.ornl.gov/bt23-co2-high-purity-download and https://bioenergykdf.ornl.gov/bt23-co2-total-supply-download

Please cite as:
Coleman, A., K. Davis, J. DeAngelo, T. Saltiel, B. Saenz, L. Miller, K. Champion, E. Harrison, and A. Otwel. 2024, Data from Emerging Resources: CO2 of Chapter 7.3 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (KDF) Data Center, https://doi.org/10.23720/BT2023/2319081

Stationary sources of CO2 arise from a wide range of industrial and commercial activities, and their characteristics can vary between facilities in terms of CO2 purity, the type and percentage of any trace contaminants, and the temperature and pressure of emissions (EPA 2022a). Based on EPA’s Greenhouse Gas Reporting Program (GHGRP) data, it is estimated that 2,724 million tons of CO2 were emitted by stationary sources in 2022 (EPA 2022b). About 95% (2,584 million tons) comes from non-biogenic sources, and the remaining 5% (141 million tons) is from biogenic sources. This dataset provides High Purity data and Total Supply through the Download Tool

Usage Policy
CC0-1.0 license
URL
bt23-co2
Publication Date
Project Title
BT23
Organization
DOE
Metadata
This dataset is authorized for use under CC0-1.0 license, provided the dataset is cited as follows:
Coleman, A., K. Davis, J. DeAngelo, T. Saltiel, B. Saenz, L. Miller, K. Champion, E. Harrison, and A. Otwel. 2024, Data from Emerging Resources: CO2 of Chapter 7.3 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (KDF) Data Center, https://doi.org/10.23720/BT2023/2319081

Text from the associated chapter of the 2023 Billion-Ton Report should be cited as:
Chapter 7.3 — Badgett, A., G. Cooney, J. Hoffmann, and A. Milbrandt. 2024. “Chapter 7.3: CO2 Emissions from Stationary Sources.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316177.
Lab
PNNL
DOI
10.23720/BT2023/2319081
Bioenergy Category
Feedstock Production
Author(s)
Andre Coleman , K. Davis , J. DeAngelo , T. Saltiel , B. Saenz , L. Miller , K. Champion , E. Harrison , A. Otwel
OSTI ID DOI
2319081
isPartOf parent DOI
10.23720/BT2023/2316185
10.23720/BT2023/2316177
10.23720/BT2023/2316165
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BT23

Appendix F. Appendix to Chapter 7.3: CO2 Emissions from Stationary Sources

Badgett, A., G. Cooney, J. Hoffmann, and A. Milbrandt. 2024. “Appendix F. Appendix to Chapter 7.3: CO2 Emissions from Stationary Sources.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316185.

Publication Date
Project Title
BT23
Organization
DOE
Lab
PNNL
DOI
10.23720/BT2023/2316185
Bioenergy Category
Feedstock Production
Author(s)
Andrew Badgett , Gregory Cooney , Jeffrey Hoffmann , Anelia Milbrandt
OSTI ID DOI
2316185
isPartOf parent DOI
10.23720/BT2023/2316177
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BT23

Appendix E. Appendix to Chapter 7.2: Macroalgae

Coleman, A., K. Davis, J. DeAngelo, T. Saltiel, B. Saenz, L. Miller, K. Champion, E. Harrison, and A. Otwell. 2024. “Appendix E. Appendix to Chapter 7.2: Macroalgae.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316184.

Publication Date
Project Title
BT23
Organization
DOE
Lab
PNNL
DOI
10.23720/BT2023/2316184
Bioenergy Category
Feedstock Production
Author(s)
Andre Coleman , Kristen Davis , Julianne DeAngelo , Troy Saltiel , Benjamin Saenz , Lee Miller , Kathleen Champion , Eliza Harrison , Anne Otwell
OSTI ID DOI
2316184
isPartOf parent DOI
10.23720/BT2023/2316176
10.23720/BT2023/2316165
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Appendix D. Appendix to Chapter 7.1: Microalgae

Davis, R., A. Coleman, T. R. Hawkins, B. Klein, J. Zhang, Y. Zhu, S. Gao, et al. 2024. “Appendix D. Appendix to Chapter 7.1: Microalgae.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316183.

Publication Date
Project Title
BT23
Organization
DOE
Lab
PNNL
DOI
10.23720/BT2023/2316183
Bioenergy Category
Feedstock Production
Author(s)
Ryan Davis , Andrew Coleman , Troy R. Hawkins , Bruno Klein , Jingyi Zhang , Yunhua Zhu , Song Gao , Udayan Singh , Longwen Ou , Matthew Wiatrowski , Lesley Snowden-Swan , Peter Valdez , Yiling Xu
OSTI ID DOI
2316183
isPartOf parent DOI
10.23720/BT2023/2316175
10.23720/BT2023/2316165
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Appendix C. Appendix to Chapter 5: Biomass from Agriculture

Hellwinckel, C., D. de la Torre Ugarte, J. L. Field, and M. Langholtz. 2024. “Appendix C. Appendix to Chapter 5: Biomass from Agriculture.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316182.

Keywords
BT23
Publication Date
Project Title
BT23
Organization
DOE
Lab
ORNL
DOI
10.23720/BT2023/2316182
Bioenergy Category
Feedstock Production
Author(s)
Chad Hellwinckel , Daniel DeLaTorre Ugarte , John L Field , Matthew H Langholtz
OSTI ID DOI
2316182
isPartOf parent DOI
10.23720/BT2023/2316171
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BT23

Appendix B. Appendix to Chapter 4: Biomass from the Forested Land Base

Davis, M., L. Lambert, R. Jacobson, D. Rossi, C. Brandeis, J. Fried, B. English, et al. 2024. “Appendix B. Appendix to Chapter 4: Biomass from the Forested Land Base.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316181.

Keywords
BT23
Publication Date
Project Title
BT23
Organization
DOE
Lab
ORNL
DOI
10.23720/BT2023/2316181
Bioenergy Category
Feedstock Production
Author(s)
Maggie Davis , Lixia Lambert , Ryan Jacobson , David Rossi , Consuelo Brandeis , Burton English , Jeremy Fried
OSTI ID DOI
2316181
isPartOf parent DOI
10.23720/BT2023/2316170
10.23720/BT2023/2316165
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BT23

Appendix A. Appendix to Chapter 2: Biomass Currently Used for Energy and Coproducts

Jacobson, R., and S. Curran. 2024. “Appendix A. Appendix to Chapter 2: Biomass Currently Used for Energy and Coproducts.” In 2023 Billion‐Ton Report. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. doi: 10.23720/BT2023/2316180.

Keywords
BT23
Publication Date
Project Title
BT23
Organization
DOE
Lab
ORNL
DOI
10.23720/BT2023/2316180
Bioenergy Category
Feedstock Production
Author(s)
Ryan Jacobson , Scott Curran
OSTI ID DOI
2316180
isPartOf parent DOI
10.23720/BT2023/2316167
10.23720/BT2023/2316165
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