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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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CC0-1.0 license
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BT23
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DOI
10.23720/BT2023/2319081
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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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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.

Usage Policy
CC0-1.0 license
Publication Date
Project Title
BT23
Organization
Lab
DOI
10.23720/BT2023/2282995
Bioenergy Category
Author(s)
Andre Coleman
OSTI ID DOI
2282995
isPartOf parent DOI
10.23720/BT2023/2316184
10.23720/BT2023/2316176
10.23720/BT2023/2316165
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Link to the website with documentation and download instructions for the PNNL Global Change Assessment Model (GCAM), a community model or long-term, global energy, agriculture, land use, and emissions. BioEnergy production, transformation, and use is an integral part of GCAM modeling and scenarios.

http://jgcri.github.io/gcam-doc/

Contact Phone
Publication Date
Project Title
GCAM Bioenergy and Land Use Modeling
Lab
Contact Email
marshall.wise@pnnl.gov
Contact Person
Marshall Wise
Contact Organization
PNNL
Author(s)
Marshall Wise
WBS Project Number
4.1.2.50 NL0022708
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.

Meeting the Energy Independence and Security Act (EISA) renewable fuels goals requires development
of a large sustainable domestic supply of diverse biomass feedstocks. Macroalgae, also known as
seaweed, could be a potential contributor toward this goal. This resource would be grown in marine
waters under U.S. jurisdiction and would not compete with existing land-based energy crops.
Very little analysis has been done on this resource to date. This report provides information needed for an
initial assessment of the development of macroalgae as a feedstock for the biofuels industry.
The findings suggest that the marine biomass resource potential for the United States is very high based
on the surface area of the marine waters of the U.S. and rates of commercial macroalgae production in
other parts of the world. However, macroalgae cultivation for fuels production is likely a long term effort.
Analysis of the available data showed that considerable scale up in cultivation over current world-wide
production and improvements in processing throughout the supply chain are needed.
Despite the high resource potential, the United States does not currently have a macroalgae production
industry and would have to develop this capability. In order to meet current renewable fuels goals, the
scale of the effort would have to be high in comparison with activity in other parts of the world. For
example, replacing 1% of the domestic gasoline supply with macroalgae would require annual production
rates about ten and one-half times current worldwide production. This could be accomplished through
cultivation on 10,895 km2 of ocean surface, based on current rates of production reported for the
international macroalgae cultivation industry. Advances in cultivation technology already being tested
could potentially increase production from three to ten fold with a corresponding decrease in the area
needed for cultivation to meet specified production goals. While it is no surprise that the cost estimates to
produce fuel from macroalgae are currently high, it should be noted that this is based on a limited amount
of available data and that production costs for macroalgae can benefit from increased efficiency and scale.
A thorough analysis is warranted due to the size of this biomass resource and the need to consider all
potential sources of feedstock to meet current biomass production goals. Understanding how to harness
this untapped biomass resource will require additional research and development. A detailed assessment
of environmental resources, cultivation and harvesting technology, conversion to fuels, connectivity with
existing energy supply chains, and the associated economic and life cycle analyses will facilitate
evaluation of this potentially important biomass resource.

Publication Date
Organization
Lab
Contact Email
ramachandran@ornl.gov
Contact Person
G. Roesijadi
Contact Organization
Pacific Northwest National Laboratory
Bioenergy Category
Author(s)
Roesijadi, G
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