agricultural crop

National summary for agricultural crops and residues, 2041

This dataset contains national summary data on agricultural crop and residue production, which include agricultural crop, agricultural residue, herbaceous energy crop, and woody energy crop.

Each tab in the Excel file contains information corresponding to a resource category, and within each tab, there is a structured table presenting resource production (in dry short ton) by offered price (in USD per dry short ton) across multiple scenarios (mature-market low, mature-market medium, and mature-market high). Consistent with the 2023 Billion-Ton report for agricultural resources, these scenarios represent potential production scenarios for 2041.

List of the resources shown in this dataset:
- Agricultural crop: Barley, Corn, Cotton, Grain sorghum, Hay, Oats, Rice, Soybeans, Wheat
- Agricultural residue: Barley straw, Corn stover, Oats straw, Sorghum stubble, Wheat straw
- Herbaceous energy crop: Biomass sorghum, Energy cane, Miscanthus, Switchgrass
- Woody energy crop: Eucalyptus, Pine, Poplar, Willow

Keywords
agricultural residues
herbaceous energy crops
woody energy crops
production
feedstocks
feedstock production
scenario
agricultural crop
energy crops
Publication Date
Organization
DOE
Metadata
Resource: This indicates the feedstock resource name.
Scenario: This indicates the scenario name as defined in the 2023 Billion-Ton report.
Price offered: This indicates the price offered. (USD per dry short ton)
Production: This indicates the amount of resource modeled as produced under the scenario simulation. (dry short ton)
Lab
ORNL
Attachment
 National_summary.xlsx
Data Source
2023 Billion-Ton Report: An Assessment of the U.S. Renewable Carbon Source
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Chad Hellwinckel , Daniel DeLaTorre Ugarte , John L. Field , Matthew Langholtz
isPartOf parent DOI
10.23720/BT2023/2316171
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BT23

Agriculture Budget Operations Table

The Ag Budget Operations Table presents a detailed compilation of operations along with their corresponding parameters and material inputs for both conventional and energy crops used in the Billion Ton 2023 study. This dataset encompasses a range of activities, including land preparation, planting, fertilization, pest management, land maintenance, and harvesting.
Key fields within the dataset include equipment data, fertilizer and chemical application details, and seed information. Additionally, the dataset contains cost metrics such as purchase costs and labor costs, enabling users to effectively analyze the financial aspects of crop production.
To enhance understanding of the data, a supplementary spreadsheet is provided, containing field definitions that clarify the terminology and metrics used throughout the dataset.

Keywords
biomass
biomass feedstocks
crop budgeting
agriculture
agricultural crop
agricultural production
costs
Publication Date
Organization
DOE
Metadata
bdgt_id: Budget identifier
operunit: Operation unit
operseqn: Operation sequence
opertype: Operation type
opercatg: Operation category
machname: Machine name
implname: Implement name
fertname: Fertilizer name
fertapplunit: Fertilizer application unit (FAU)
fertapplqnty: Fertilizer application quantity
chemname: Chemical name
chemapplunit: Chemical application unit (CAU)
chemapplqnty: Chemical application quantity
seedname: Seed name
seedapplunit: Seed application unit (SAU)
seedapplqnty: Seed application quantity
othrname: Other operation name
othrapplunit: Other operation application unit (OAU)
othrapplqnty: Other operation application quantity
bdgtyr: Budget year
bdgtmo: Budget month
bdgtda: Budget day
areafrac: Fraction of area to which operation applies
oper_id: Operation identifier
impltype: Implement type
implprce: Implement list price ($)
implcost: Implement purchase cost ($)
implreprmult: Implement repair cost factor (frac)
impllife: Implement life (hr)
implrval1: Implement remaining value coefficient 1
implrval2: Implement remaining value coefficient 2
implrval3: Implement remaining value coefficient 3
implhous: Implement housing cost ($)
implpuse: Implement planned use (hr)
impltaxs: Implement tax rate (frac)
implinsr: Implement insurance rate (frac)
implopersped: Implement operation speed (mi/hr)
imploperwdth: Implement operation width (ft)
implopereffc: Implement operation efficiency (frac)
machtype: Machine type
machprce: Machine list price ($)
machcost: Machine purchase cost ($)
machreprmult: Machine repair cost factor (frac)
machlife: Machine life (hr)
machrval1: Machine remaining value coefficient 1
machrval2: Machine remaining value coefficient 2
machrval3: Machine remaining value coefficient 3
machhous: Machine housing cost ($)
machpuse: Machine planned use (hr)
machtaxs: Machine tax rate (frac)
machinsr: Machine insurance rate (frac)
machopersped: Machine operation speed (mi/hr)
machoperwdth: Machine operation width (ft)
machopereffc: Machine operation efficiency (frac)
machpowr: Machine power (hp)
machfuelmult: Machine fuel multiplier
machlubemult: Machine lubrication cost factor (frac)
fertprchunit: Fertilizer purchase unit (FPU)
fertprchcost: Fertilizer purchase cost ($/FPU)
ferttype: Fertilizer type
fert_n: Fertilizer nitrogen content (frac N)
fert_p: Fertilizer phosphorous content (frac P2O5)
fert_k: Fertlilizer potassium content (frac K2O)
fert_l: Fertilizer lime content (frac lime)
chemprchunit: Chemical purchase unit (CPU)
chemprchcost: Chemical purchase cost ($/CPU)
chemtype: Chemical type
chemingrconv: Chemical active ingredient (AI) factor (lb-AI/CPU)
seedprchunit: Seed purchase unit (SPU)
seedprchcost: Seed purchase cost ($/SPU)
seedunitconv: Seed unit conversion factor (SPU/SAU)
othrprchunit: Other operation purchase unit (OPU)
othrprchcost: Other operation purchase cost ($/OPU)
othrunitconv: Other operation conversion unit (OPU/OAU)
othrtype: Other operation type
othrfuelcnsp: Other operation fuel consumption (gal/OAU)
crop: Crop
till: Tillage
type: Crop type
polyfrr: POLYSYS farm resource region identifier
usdafpr: USDA farm production region
state: State
polyregn: POLYSYS region
fuelcost: Fuel cost, diesel ($/gal)
labrcost: Labor cost ($/hr) {Eaton e-mail 08/07/15 1:38 PM}
labrcostovhd: Labor cost overhead multiplier (frac of labrcost)[Turhollow 2009] [Eaton e-mail 08/07/15 1:38 PM]
labrtimemult: Labor time multiplier (frac of operunittime) {(Turhollow 2009, p 10) (Set at 20% (1.2))}
introper: Interest rate, operating (frac) [estimate] (Turhollow) (Set at 50% of intreqpt)
intreqpt: Interest rate, equipment (frac) NOT USED (Turhollow)
fertregn: USDA fertilizer region {(Turhollow e-mail 06/29/15 3:12 PM)}
fertpadj: Fertilizer price adjustment (frac of fertprchcost)
Lab
ORNL
Attachment
 AgBdgtOper_FieldDefinitions.xlsx
 bdgt_agri_tblbdgtoper.csv
Data Source
2023 Billion-Ton Report: An Assessment of U.S. Renewable Carbon Resources
Bioenergy Category
Feedstock Logistics
Supporting Data
Author(s)
Craig Brandt , Nicole Jennett , Jin Wook Ro , Maggie Davis
isPartOf parent DOI
10.23720/BT2023/2316171
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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
Create a DOI (from OSTI) for this document
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OSTI DOI Released
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OSTI DOI Infix
BT23
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