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.
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