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Supporting Data

Construction of the Sapphire Energy Integrated Algal Biorefinery (IABR) began in June 2011 in Luna County, near Columbus, New Mexico. Sapphire Energy was awarded a $50 million grant from the Department of Energy and a $54.4 million dollar loan guarantee from the Department of Agriculture, which were used to help fund the IABR.

Through a partnership with Earthrise Nutritionals, the first algal strain grown was Spirulina. Following this, strain SE00107 (Desmodesmus sp.) was cultivated continuously for over 22 months. In 2014, Sapphire Energy transitioned to cultivation of Nannochloropsis. The IABR produced over 500 tonnes of algal biomass.

From 2009-2017, Sapphire Energy also operated the Las Cruces Test Site (LCTS) in Las Cruces, New Mexico, where strains and processes were tested prior to use at the IABR. The LCTS also provided technical support to the IABR for various activities such as Quality Assurance/Quality Control and crop protection. The Process Development unit used to convert algal biomass to crude oil was also sited at the LCTS and produced over 2000 gallons of "Green Crude" that had many of the properties found in fossil crude oil.

In 2017, the IABR was sold to Green Stream Farms, who continue to cultivate algae on the site.

The files provided here contain various published and unpublished observations, reports, procedures, and design documents related to algal cultivation at the two New Mexico sites.

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

Contact Phone
Publication Date
Project Title
Spatially resolved measurements of water quality indicators within a bioenergy landscape
Organization
Lab
Contact Email
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

University of Florida's Stan Mayfield Demonstration Biorefinery Dataset. The University of Florida's Stan Mayfield Demonstration Biorefinery enabled the study of the most effective ways to convert sugarcane and sorghum agricultural residues into cellulosic ethanol. This dataset provides details on 23 campaigns run at the biorefinery between 2012 and 2016. The data were published using GitHub, allowing interested users to browse the documentation, download specific files, and/or download the entire dataset.

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.

Keywords
Usage Policy
Please use the citation
Publication Date
Organization
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.

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

Contact Phone
Usage Policy
Please use the citation
Publication Date
Organization
Lab
Contact Email
davismr@ornl.gov
DOI
10.11578/1797939
Data Source
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

The economic potential for Eucalyptus spp. production for jet fuel additives in the United States: A 20 year projection suite of scenarios ranging from $110 Mg-1 to $220 Mg-1 utilizing the POLYSYS model.

Contact Phone
Publication Date
Project Title
The economic potential for Eucalyptus spp. production for jet fuel additives in the United States
Organization
Lab
Contact Email
davismr@ornl.gov
Contact Person
Maggie R. Davis
Contact Organization
ORNL
Author(s)
Maggie R. Davis

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.

Price Scenarios at $54 and $119 were simulated for Switchgrass, Miscanthus and Willow production from 2017 to 2040. These analyses were used in Woodbury, Peter B., et al. 2018. "Improving water quality in the Chesapeake Bay using payments for ecosystem services for perennial biomass for bioenergy and biofuel production." Biomass and Bioenergy 114:132-142. doi: https://doi.org/10.1016/j.biombioe.2017.01.024.

Contact Phone
Usage Policy
Any use of this data should cite associated DOI.
Publication Date
Organization
Lab
Contact Email
davismr@ornl.gov
DOI
10.11578/1468424
Data Source
Internal Simulations using POLYSYS
Contact Person
Maggie Davis
Contact Organization
ORNL
Author(s)
Maggie R. Davis

This dataset was utilized in a report to highlight parameters that affect near-term sustainable supply of corn stover and forest resources at $56 and $74 per dry ton delivered. While the report focus is restricted to 2018, the modeling runs are available from 2016-2022. In the 2016 Billion-ton Report (BT16), two stover cases were presented. In this dataset, we vary technical levels of those assumptions to measure stover supply response and to evaluate the major determinants of stover supply. In each of these cases, the supply is modeled first at the farmgate at prices up to $80 per dry ton for five deterministic scenarios. Building on this dataset, a supplementary dataset of delivered supply was modeled for 800k dry ton per year capacity facilities in two facility siting approaches. Results were summarized across delivered supply curves for twelve scenarios. The resulting supply curves are highly elastic, resulting in a range of potential supplies across scenarios at specified prices. Interactive visualization of these data allows exploration into any specified nth plant supply sensitivity to key variables and spatial distribution of stover resources.

The analysis is economic supply risk and doesn’t account for disruptions from competing demands, namely livestock feed and bedding markets.

Contact Phone
Usage Policy
Any use of this data should cite associated DOI
Publication Date
Project Title
Supply Scenario Analysis
Contact Email
davismr@ornl.gov
Attachment
DOI
10.11578/1467581
Data Source
Internal Simulations using POLYSYS
Contact Person
Maggie Davis
Contact Organization
ORNL
Author(s)
Maggie Davis , Laurence Eaton , Matt Langholtz
WBS Project Number
1.1.1.3.
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.

This spreadsheet serves as an Input file to the National Renewable Energy Laboratory's Waste-to-Energy System Simulation (WESyS) model developed in Stella Pro (isee systems, Lebanon, NH). WESyS is a national-level system dynamics model that simulates energy production from three sectors of the U.S. waste-to-energy industry: landfills, confined animal feeding operations (CAFOs), and publically owned treatment works (POTWs).

For our purposes, a scenario is a set of model conditions (i.e. parameter settings) that approximate a specified condition or potential reality. The RIN/LCFS scenario represents biofuel production incentives from both the Renewable Fuel Standard (RFS) and the Low-Carbon Fuel Standard (LCFS). To implement this scenario, we modified the model structure to 1) accept time series data that represent the production incentives from the Renewable Identification Number (RIN) market and 2) mimic the low carbon fuel standard credit calculations. For both of these programs, the incentive is accrued at the point of production.

Contact Phone
Keywords
Publication Date
Project Title
Waste-to-Energy System Simulation Model
Contact Email
daniel.inman@nrel.gov
Attachment
Contact Person
Daniel Inman
Contact Organization
National Renewable Energy Laboratory
Bioenergy Category
Author(s)
Daniel Inman, Annika Eberle, and Dylan Hettinger of the National Renewable Energy Laboratory; Steven Peterson and Corey Peck of Lexidyne, LLC.
WBS Project Number
2.1.0.104
Funded from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.
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