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An Introduction to the 2023 Billion-Ton Report   Oak Ridge National Laboratory’s Matthew Langholtz provides a brief summary of the 2023 Billion-Ton Report findings.
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What’s in the 2023 Billion-Ton Report?   Oak Ridge National Laboratory’s Matthew Langholtz provides a short background summary for each of the resource classes and market scenarios explored in the 2023 Billion-Ton Report.
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BioenergyKDF: How to access the data   Oak Ridge National Laboratory’s Maggie Davis shares how to access the resources from the 2023 Billion-Ton Report using the Bioenergy KDF data portal.
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Interpreting Results of the 2023 Billion-Ton Report   Oak Ridge National Laboratory's Matthew Langholtz gives an in-depth look at the results of the 2023 Billion-Ton Report.
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Current Biomass Use in the U.S.   ORNL’s Ryan Jacobson dives into Chapter 2 of the 2023 Billion-Ton Report, discussing biomass resources currently used for energy and coproducts in the United States.
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Timberland Resources: Forestry Biomass in the 2023 Billion-Ton Report   ORNL’s Maggie Davis discusses the biomass potential of U.S. timberlands as highlighted in the 2023 Billion-Ton Report.
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Modeling Agricultural Resources in the 2023 Billion-Ton Report   ORNL’s Chad Hellwinckel discusses the economic model used to estimate the biomass available from U.S. agricultural lands in the 2023 Billion-Ton Report.
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Emerging Resources: Microalgae in the 2023 Billion-Ton Report   NREL’s Ryan Davis discusses microalgae production potential as highlighted in the Emerging Resources chapter of the 2023 Billion-Ton Report.
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Constraints in Modeling Agricultural Resources in the 2023 Billion-Ton Report   ORNL’s Chad Hellwinckel discusses the constraints applied to the economic models of agricultural resources in the 2023 Billion-Ton Report.
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2023 Billion-Ton Report: Macroalgae   Anne Otwell, a contractor in the Department of Energy's Bioenergy Technologies Office, highlights the findings about macroalgae from the 2023 Billion-Ton Report.

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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Featured Data Updates

a. Cotton gin trash and rice hulls, totaling 2.1 and 1.3 million tons per year in all scenarios, were omitted in error from the BT23 figures and initial data release. Data for these resources were added to the BT23 Agricultural Download on April 23rd, 2024. Methods are described in BT23 Appendix C, pages 6-7.

b. Orchard prunings, totaling 6 million tons per year in all scenarios, were classified as agricultural processing waste in the report, but are now classified as agricultural residues in the data. The combined changes from cotton gin trash, rice hulls, and orchard prunings cause agricultural residues to increase by 6 million tons per year and agricultural processing wastes to decrease by 2.5 million tons per year, as compared to values provided in Summary Table ES-1. This is less than a 1% change in the national results in all scenarios.

Constraints

Biomass resources in the 2023 Billion-Ton Report are presented as production capacity under specified environmental constraints, prices, and market scenarios. Modeling varies by resource class. For example:

  • Agricultural residue production capacity is limited to about 1/3 of national total by retention constraints for soil conservation.
  • Timberland resources are constrained such that total harvests are less than net growth, and sensitive areas are excluded.
  • Energy crop production capacity is modeled as producer response to biomass markets in addition to projected demands for food, feed, fiber, and export. More detail is provided this summary document and in the report.
Errata
  • Data for rice hulls and cotton gin trash are missing in the report, but have been added in the data portal (see data update information in “Featured Data Updates”)
  • In Table 1.5 on page 15, the phrase “except where cable systems are in use (Northwest United States)” is an error. Cable harvesting systems were modeled for conventional timber products, but biomass from logging residues from cable harvesting systems were not included in the analysis. This assumption to exclude logging residues from cable harvesting systems can be questioned, because cable harvesting systems produce piles of logging residues at collection.
  • In Figure ES-1 on page xix, labeling of microalgae and macroalgae in the top right of the figure are switched. The correct labeling should follow the symbology provided in the lower right of the figure, i.e. 169 million tons per year of microalgae at a weighted average price of $650 per ton, and 79 million tons per year of macroalgae at $500 per ton.
  • In Figure ES-6 on page xxviii, under “Remaining timberland (unharvested)”, the "/year" was included in error. This is because remaining timberland is a stock, not an annual rate of production. However, the “/year” is correct for the “Harvest for conventional forest products” and “Reference scenario (small-diameter trees)” categories in the same figure.
  • In Figure 5.11 on page 116, the primary and secondary y-axis scales are misaligned. The axes values should align with the horizontal lines.
  • In the text box on page 23, “During CO2 fermentation some of this recycled CO2 can be harnessed…” should instead say “During fermentation some of this recycled CO2 can be harnessed…”
  • A disclaimer was omitted in error. The disclaimer in the front matter of the 2016 Billion-Ton Report (https://energy.gov/eere/bioenergy/2016-billion-ton-report) is equally applicable to the 2023 Billion-Ton Report.
  • The following errors in v0.1 of waste data were corrected in v1.0:
    • The wet waste and solid waste price data released were erroneously inflated 14%, and has been reduced to 0 to report as 2022$. The wastes summary in Table 3.1 remains unchanged as $2022.
    • A moisture content of 6% was assumed for waste paper, which was corrected to 5.5%, causing an increase of 447,000 dry tons of waste paper (i.e, 0.5% of waste paper).
    • Food waste (residential, nonresidential) and yard waste energy content were updated to 14000000 btu per ton and 7000.0 btu per lb.    
Keywords
Publication Date
Project Title
BT23
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DOI
10.23720/BT2023/2316165
Bioenergy Category
Author(s)
Matthew H Langholtz , Maggie Davis , Chad Hellwinckel , Daniel DeLaTorre Ugarte , Rebecca Efroymson , Ryan Jacobson , Anelia Milbrandt , Andre Coleman , Ryan Davis , Keith L. Kline , et al.
OSTI ID DOI
2316165
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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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BT23
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Contact Email
davismr@ornl.gov
DOI
10.23720/BT2023/2281324
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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
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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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CC0-1.0 license
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BT23
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DOI
10.23720/BT2023/2283271
Author(s)
Lixia Lambert , Burton English , Maggie Davis
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2283271
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10.23720/BT2023/2281324
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This dataset includes longitudinal measurements of water quality in four streams and rivers across the United States that were collected using the AquaBOT, an unmanned surface vehicle equipped with water quality sensors developed as part of a BETO-funded project ('Spatially resolved measurements of water quality indicators within a bioenergy landscape'). Measured water quality indicators include: nitrate concentration, temperature, specific conductivity, dissolved oxygen, turbidity, chlorophyll, and pH. The data can be found in the Excel file and details on the sampling sites, measurement methods, and data are available in the data guide.

These data are associated with the following paper:
Griffiths, N.A., P.S. Levi, J.S. Riggs, C.R. DeRolph, A.M. Fortner, and J.K. Richards. A sensor-equipped unmanned surface vehicle for high-resolution mapping of water quality in streams. Environmental Science & Technology Water. doi: 10.1021/acsestwater.1c00342

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Project Title
Spatially resolved measurements of water quality indicators within a bioenergy landscape
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griffithsna@ornl.gov
Contact Person
Natalie Griffiths
Contact Organization
Oak Ridge National Laboratory
Bioenergy Category
Author(s)
Natalie A. Griffiths, Peter S. Levi, Jeffery S. Riggs, Christopher R. DeRolph, Allison M. Fortner, Jason K. Richards
WBS Project Number
4.2.2.44

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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10.11578/1797943
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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.

Short Rotation Woody Crop Production Scenarios Simulated for Idaho National Laboratory-ORNL Collaborations, June 2021.

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davismr@ornl.gov
DOI
10.11578/1797939
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Budgets are consistent with BT16 (DOE 2016) and Pine/Poplar allocation used the highest yield for those crops from https://public.tableau.com/app/profile/eatonlm/viz/SGI_yields/PotentialYieldOverview
Contact Person
Maggie Davis
Contact Organization
Oak Ridge National Lab
Author(s)
Maggie R. Davis

This workshop examines the potential benefits, feasibility, and barriers to the use of biofuels in place of heavy fuel oil (HFO) and marine gas oil for marine vessels. More than 90% of world’s shipped goods
travel by marine cargo vessels powered by internal combustion (diesel) engines using primarily low-cost residual HFO, which is high in sulfur content. Recognizing that marine shipping is the largest source of
anthropogenic sulfur emissions and is a significant source of other pollutants including particulates, nitrogen oxides, and carbon dioxide (CO2), the International Maritime Organization enacted regulations to
lower the fuel sulfur content from 3.5 wt.% to 0.5 wt.% in 2020. These regulations require ship operators either to use higher-cost, low-sulfur HFO or to seek other alternatives for reducing sulfur emissions (i.e.,
scrubbers, natural gas, distillates, and/or biofuels). The near-term options for shipowners to comply with regulations include fueling with low-sulfur HFO or distillate fuels or installing emissions control systems.
However, few refineries are equipped to produce low-sulfur HFO. Likewise, the current production rates of distillates do not allow the necessary expansion required to fuel the world fleet of shipping vessels
(which consume around 330 million metric tons). This quantity is more than twice that used in the United States for cars and trucks. The other near-term option is to install emission control systems, which also
requires a significant investment. All of these options significantly increase operational costs. Because of such costs, biofuels have become an attractive alternative since they are inherently low in sulfur and
potentially also offer greenhouse gas benefits. Based on this preliminary assessment, replacing HFO in large marine vessels with minimally processed, heavy biofuels appears to have potential as a path to
reduced emissions of sulfur, CO2, and criteria emissions. Realizing this opportunity will require deeper knowledge of (1) the combustion characteristics of biofuels in marine applications, (2) their compatibility
for blending with conventional marine fuels (including HFO), (3) needs and costs for scaling up production and use, and (4) a systems assessment of their life cycle environmental impacts and costs. It is
recommended that a research program investigating each of these aspects be undertaken to better assess the efficacy of biofuels for marine use.

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Publication Date
Organization
Lab
Bioenergy Category
Author(s)
Mike Kass , Zia Abdullah , Mary Biddy , Corinne Drennan , Troy Hawkins , Susanne Jones , Johnathan Holladay , Dough Longman , Emily Newes , Tim Theiss , Tom Thompson , Michael Wang
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.

Contact information about the submitter of this metadata record:
Author list: Maggie Davis, Matt Langholtz, Laurence Eaton, Chad Hellwinkel
Who should be contacted with questions relating to the data? (Principal investigator or primary developer of data product): Maggie Davis, davismr@ornl.gov

What format is your data presented in? .csv .xls
Date data created 1/26-29/2016
Please include a description of the data set (abstract):
As part of the Billion Ton resource assessment projections created in 2016 (see https://www.energy.gov/sites/prod/files/2016/12/f34/2016_billion_ton_re…), this dataset was produced and titled a "base-case" scenario. This broader dataset provided an updated assessment of the potential economic availability of biomass resources from agricultural lands reported at the farmgate under conservative assumptions. Crop residues quantified in this dataset include corn stover, cereal (wheat, oats, and barley) straws, and sorghum stubble. We have isolated corn stover in this dataset.

What is the purpose of the data set? Why were the data collected?*
Per request for use in subsequent research, we have isolated corn stover in 2019 from the broader base-case projections and have provided tillage classification details from this projection. Tillage classification assumptions in this scenario allow a moderate deviation from a baseline situation (using historic CTIC data on tillage type used in counties for each crop). This dataset allowed moderate flexibility of farmers to put land into another tillage type (no till, conservation till, and reduced till) where a higher net present value was calculated.

Were data created or processed with a model or other analytical tool? Yes
Version POLYSYS v10_1-22-16b
Assumptions: Cumulative (energy crops and residues). Base-case (1% yield growth scenario), Tillage Flex = 1, across offered prices of $40-$60 in $5 increments from 2015 to 2040.

Should other organizations/individuals get credit for support, funding, or data collection and analysis? Yes, the USDOE BioEnergy Technologies Office (BETO) and the Oak Ridge National Laboratory (ORNL)

Contact Phone
Publication Date
Organization
Lab
Contact Email
davismr@ornl.gov
DOI
10.11578/1632327
Contact Person
Maggie R. Davis
Contact Organization
ORNL
Bioenergy Category
Author(s)
Maggie Davis , Matt Langholtz , Laurence Eaton , Chad Hellwinkel
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.
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