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Biomass for Carbon Removal and Storage (BiCRS) Counterfactual Decision Tree
Counterfactual is the term used to describe a "business-as-usual" scenario which used as a baseline to compare against a new project, allowing the calculation of net impacts for a life cycle analysis (LCA). The choice of counterfactual is critical for determining the results from LCA and must be carefully justified to ensure a fair and accurate comparison. Using forest residues as an example, this decision tree illustrates decision points to be considered for sustainable biomass sourcing and provides a framework for estimating the carbon emissions or storage under the "business-as-usual” scenarios for biomass otherwise destined for use in Biomass for Carbon Removal and Storage (BiCRS) projects.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
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|
| contactPoint |
{
"fn": "Anne E. Harman-Ware",
"@type": "vcard:Contact",
"hasEmail": "mailto:anne.ware@nrel.gov"
}
|
| dataQuality |
true
|
| description | Counterfactual is the term used to describe a "business-as-usual" scenario which used as a baseline to compare against a new project, allowing the calculation of net impacts for a life cycle analysis (LCA). The choice of counterfactual is critical for determining the results from LCA and must be carefully justified to ensure a fair and accurate comparison. Using forest residues as an example, this decision tree illustrates decision points to be considered for sustainable biomass sourcing and provides a framework for estimating the carbon emissions or storage under the "business-as-usual” scenarios for biomass otherwise destined for use in Biomass for Carbon Removal and Storage (BiCRS) projects. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Counterfactual is the term used to describe a "business-as-usual" scenario which used as a baseline to compare against a new project, allowing the calculation of net impacts for a life cycle analysis (LCA). The choice of counterfactual is critical for determining the results from LCA and must be carefully justified to ensure a fair and accurate comparison. Using forest residues as an example, this decision tree illustrates decision points to be considered for sustainable biomass sourcing and provides a framework for estimating the carbon emissions or storage under the "business-as-usual” scenarios for biomass otherwise destined for use in Biomass for Carbon Removal and Storage (BiCRS) projects.",
"accessURL": "https://data.nrel.gov/system/files/308/1766014111-CounterFactualDecisionTreeFinal.pdf",
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"description": "Counterfactual is the term used to describe a "business-as-usual" scenario which used as a baseline to compare against a new project, allowing the calculation of net impacts for a life cycle analysis (LCA). The choice of counterfactual is critical for determining the results from LCA and must be carefully justified to ensure a fair and accurate comparison. Using forest residues as an example, this decision tree illustrates decision points to be considered for sustainable biomass sourcing and provides a framework for estimating the carbon emissions or storage under the "business-as-usual” scenarios for biomass otherwise destined for use in Biomass for Carbon Removal and Storage (BiCRS) projects."
}
]
|
| identifier | https://data.openei.org/submissions/8591 |
| issued | 2025-12-18T21:16:07Z |
| keyword |
[
"BiCRS",
"Biomass",
"decision tree",
"life cycle analysis"
]
|
| landingPage | https://data.nrel.gov/submissions/308 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-12-18T22:12:54Z |
| programCode |
[
"019:000",
"019:005"
]
|
| projectNumber | FY1517 |
| projectTitle | Addressing Critical Measuring, Reporting, and Verification Challenges of Durability and Sustainable Sourcing of Feedstocks for Biomass Carbon Removal and Storage (BiCRS) Pathways |
| publisher |
{
"name": "National Laboratory of the Rockies",
"@type": "org:Organization"
}
|
| title | Biomass for Carbon Removal and Storage (BiCRS) Counterfactual Decision Tree |