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Feedstock Production

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.

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.

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DOI
10.23720/BT2023/2350581
Author(s)
Chad Hellwinckel , Daniel DeLaTorre Ugarte , Hope Cook , Maggie Davis , Matthew Langholtz
OSTI ID DOI
2350581
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10.23720/BT2023/2316171
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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

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Project Title
BT23
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DOI
10.23720/BT2023/2319081
Bioenergy Category
Author(s)
Andre Coleman , K. Davis , J. DeAngelo , T. Saltiel , B. Saenz , L. Miller , K. Champion , E. Harrison , A. Otwel
OSTI ID DOI
2319081
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10.23720/BT2023/2316185
10.23720/BT2023/2316177
10.23720/BT2023/2316165
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The U.S. Department of Energy Bioenergy Technology Office's (BETO's) 2023 Billion-Ton Report (BT23) is an assessment of renewable carbon resources potentially available in the United States. BT23 explores these resources in terms of quantity, price, geographical density and distribution, and market maturity. Resource quantities in this report are limited by specified economic and environmental sustainability constraints. Good practices are needed to ensure biomass production has positive environmental outcomes.

BT23 supports BETO's mission, particularly the 2023 Multi-Year Program Plan. To access 2023 Billion-Ton Report PDFs, appendices, and high-level messages, navigate to the 2023 Billion-Ton Report landing page at https://energy.gov/eere/bioenergy/2023-billion-ton-report-assessment-us… on the U.S. Department of Energy Bioenergy Technologies Office website.

To access information about the quality assumptions used in this report, please see the Biomass Feedstock Library at https://bioenergylibrary.inl.gov/Home/Home.aspx

Please cite the 2023 Billion-Ton Report as: U.S. Department of Energy. 2024. 2023 Billion‐Ton Report: An Assessment of U.S. Renewable Carbon Resources. M. H. Langholtz (Lead). Oak Ridge, TN: Oak Ridge National Laboratory. ORNL/SPR-2024/3103. doi: 10.23720/BT2023/2316165.

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Publication Date
Project Title
BT23
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DOI
10.23720/BT2023/2316165
Bioenergy Category
Author(s)
Matthew H Langholtz
OSTI ID DOI
2316165
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Data from Emerging Resources: Macroalgae. Please access the data through the BT23 Data Portal or directly at https://bioenergykdf.ornl.gov/bt23-macro-algae-download

Please cite as:
A. Coleman. 2024, Data from Emerging Resources: Macroalgae of Chapter 7.2 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (KDF) Data Center, https://doi.org/10.23720/BT2023/2282995

This study represents the first U.S. full exclusive economic zone (EEZ) analysis for macroalgae biomass potential, inclusive of a marine area screening analysis, macroalgae biomass growth model, and associated TEA with harvest and farm gate biomass delivery.

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BT23
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DOI
10.23720/BT2023/2282995
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Author(s)
Andre Coleman
OSTI ID DOI
2282995
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10.23720/BT2023/2316184
10.23720/BT2023/2316176
10.23720/BT2023/2316165
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Data from Emerging Resources: Microalgae

Please cite as:
A. Coleman, Davis, R., B. Klein. 2024, Data from Emerging Resources: Microalgae of Chapter 7.1 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (KDF) Data Center, https://doi.org/10.23720/BT2023/2282994

This data reflects the latest analysis from the 2022 Algae Harmonization Update, which uses the latest parameterized and high-performing saline algal strain, second-generation carbon capture of point-source waste CO2 and high-pressure pipeline transport resolved to specific point-source types, saline water sourcing up to 40,000 mg/L total dissolved solids for source and makeup water salinity, blowdown water treatment and recycle, and brine disposal handling.

Description:

Land-screening sites based on culmination of data through 2020 at a minimum contiguous area of 1,000 acres

Modeled biomass growth based on lab parameterizations of Tetraselmis striata LANL 1001 saline strain (DISCOVR program) using 40-years of hourly meteorology from NLDAS-2.

Microalgae growth model coupled with a pond temperature model at 10 acres per pond running at an operating salinity of 55,000 mg/L.

Cultivation productivity targets 26 g/m2-day annual average based on nutrient-replete, high-protein biomass composition at harvest.

Microalgae harvest set at a density of 0.5 g/L to maximize productivity.

Harvested microalgae sent through three-stage dewatering via gravity settling, membrane concentration, and centrifugation to 200 g/L.

Saline groundwater used as the exclusive source of water that is accessed at depths no greater than 500 m

Blowdown water disposal via forward osmosis brine concentration and well injection; clarified water from forward osmosis is recycled internally within the algae farm.

CO2 capture and transport uses 2020 viable point-sources and reported annual mass, with capture costs and energy demands varying by CO2 concentration in the point source; CO2 utilization efficiency of the microalgae is set at 75%

Urea and diammonium phosphate are used as nitrogen/phosphorus nutrients and are based on biomass productivity and composition

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Publication Date
Project Title
BT23
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Lab
DOI
10.23720/BT2023/2282994
Bioenergy Category
Author(s)
Andre Coleman , Ryan Davis , Bruno Klein
OSTI ID DOI
2282994
isPartOf parent DOI
10.23720/BT2023/2316183
10.23720/BT2023/2316175
10.23720/BT2023/2316165
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This dataset includes waster resources prepared for BT23 Chapter 3. Please access the data through the BT23 Data Portal or directly at https://bioenergykdf.ornl.gov/bt23-wastes-download

Please cite as:
Milbrandt, A., and A. Badgett. 2024, Data from Biomass from waste streams, of Chapter 3 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (bioenergyKDF)Data Center, https://doi.org/10.23720/BT2023/2282886

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CC0-1.0 license
Publication Date
Project Title
BT23
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Lab
DOI
10.23720/BT2023/2282886
Data Source
Landfill gas: EPA LMOP Database, 07-2023
Author(s)
Anelia Milbrandt , Alex Badgett
OSTI ID DOI
2282886
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This dataset includes POLYSYS model output prepared for BT23 Chapter 5. Please access the data through the BT23 Data Portal or directly at https://bioenergykdf.ornl.gov/bt23-agricultural-download

Please cite as:
Hellwinckel, C., D. de la Torre Ugarte, J. L. Field, and M. Langholtz. 2024, Data from Biomass from the Agricultural Land Base, of Chapter 5 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (bioenergyKDF) Data Center, https://doi.org/10.23720/BT2023/2282885

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.

Note: Oilseed Crops have rotations and therefore may have duplicate rows by resource with differing production units. Users may sum these production numbers for aggregated data.

Note 2: Cotton gin trash and Rice hulls are downloaded separately and were not included in visualizations by resource.

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CC0-1.0 license
Publication Date
Project Title
BT23
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Lab
DOI
10.23720/BT2023/2282885
Bioenergy Category
Author(s)
Chad Hellwinckel , Daniel DeLaTorre Ugarte , John L Field , Matthew H Langholtz
OSTI ID DOI
2282885
isPartOf parent DOI
10.23720/BT2023/2316182
10.23720/BT2023/2316171
10.23720/BT2023/2316165
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This dataset includes ForSEAM and BioSUM model output prepared for BT23 Chapter 4, as well as USDA-FS Forest Inventory Analysis datasets used to calculate waste biomass from the forested land base. Please access the data through the BT23 Data Portal or directly at https://bioenergykdf.ornl.gov/bt23-forestry-download

Please cite as:
Davis, M., L. Lambert, R. Jacobson, C. Brandeis, J. Fried, B. English. 2024, Modeled Output and Other Data from Biomass from the Forested Land Base, of Chapter 4 in the 2023 Billion-Ton Report. Version 0.0.1, Bioenergy Knowledge Discovery Framework (KDF) Data Center, https://doi.org/10.23720/BT2023/2281324

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Publication Date
Project Title
BT23
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Contact Email
davismr@ornl.gov
DOI
10.23720/BT2023/2281324
Contact Person
Maggie Davis
Contact Organization
Oak Ridge National Lab
Author(s)
Maggie Davis , Lixia Lambert , Ryan Jacobson , Consuelo Brandeis , Jeremy Fried , Burton English
OSTI ID DOI
2281324
isPartOf parent DOI
10.23720/BT2023/2316181
10.23720/BT2023/2316170
10.23720/BT2023/2316165
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A-customized-dataset-for-national-timberland-resources-modeled-with-ForSEAM

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Project Title
BT23
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Lab
DOI
10.23720/BT2023/2283271
Author(s)
Lixia Lambert , Burton English , Maggie Davis
OSTI ID DOI
2283271
isPartOf parent DOI
10.23720/BT2023/2281324
10.23720/BT2023/2316181
10.23720/BT2023/2316170
10.23720/BT2023/2316165
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Simulations under this dataset were targeted to a specific fuelshed in Iowa.
Integrated land management (ILM) applications were targeted under this research, although the results of these simulations are at the county level; downscaling post-processing will be applied.

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Please use the citation
Publication Date
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Lab
DOI
10.11578/1797943
Data Source
Budgets are consistent with BT16 (DOE 2016)
Author(s)
Maggie R. Davis
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.
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